CN109124655A - State of mind analysis method, device, equipment, computer media and multifunctional chair - Google Patents
State of mind analysis method, device, equipment, computer media and multifunctional chair Download PDFInfo
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Abstract
The present invention provides a kind of state of mind analysis method, device, equipment, computer media and multifunctional chairs.Wherein state of mind analysis method includes: to obtain physiological data and behavioral data；Physiology/behavioral data is input to preset physiology/behavioral data-spirit quantized value mapping model, obtains physiology/behavior state of mind quantized value；It is handled physiology state of mind quantized value and behavior state of mind quantized value to obtain the state of mind of user according to default rule.Multifunctional chair includes data acquisition device, visualization device and state of mind analytical equipment.State of mind analysis method, device, equipment and computer media provided by the invention can obtain the state of mind of user according to physiological data and behavioral data.Multifunctional chair provided by the invention can complete physiology/behavioral data non-intrusion measurement on the basis of providing chair-function, and obtain the state of mind of user, so that state of mind analysis is more portable and efficient.
Description
Technical field
The present invention relates to the communications field, in particular to a kind of state of mind analysis method, device, equipment, computer media
And multifunctional chair.
Background technique
The state of mind refers to the current state of the conscious activity of people, is awake degree, degree of fatigue, the mood, cognition of people
The comprehensive of ability embodies.The state of mind has great importance to the psychology and physiological health of people, also largely influences
The behaviour decision making of people, working efficiency, social performance etc., further influences its life, work quality and social role.Cerebration
Derived from brain, and brain is not only the source that advanced consciousness generates, to also control all kinds of rudimentary physiological activities of people, the state of mind
Variation be also reflected in therewith in the variation of physiological activity.Studies have shown that the state of mind can be embodied in automatic nervous system etc.
On rudimentary nerve and physiological activity, such as heart rate variability, body temperature.These physiological signals, and benefit are obtained using sensor technology
It is pocessed with signal analysis technology, it is possible to quantitative, the objective assessment state of mind.This assessment is for specific crowd
(such as high-risk, high pressure, military relevant industries) have important meaning.
Currently, the assessment of the state of mind is carried out mainly for the crowd with mental disease, the means used include diagnosis
Scale, the inquiry talk of specialist and inspection of some physical signs etc..This assessment mode process is cumbersome, prepares and diagnoses
Process is longer, and diagnosis report generates time-consuming more, it is difficult to be generalized to common crowd.For this reason, it may be necessary to consider using it is more convenient,
Quick mode carries out the acquisition and assessment of relevant physiological signal, as physical signs monitoring bed, the wearable of integrated sensor are set
Standby, integrated sensor physical signs monitoring chair etc..It is larger and more demanding to ambient light, sound etc. to monitor bed land occupation；It wears
The formula equipment of wearing is dressed repeatedly and is easily damaged, and is powered mainly by battery, and continuation of the journey is restricted；It is more convenient it is possible that monitoring
Chair.
Monitoring chair compares conventional chair, is integrated with dedicated physiological signal sensor and circuit, can provide chair function
The functions such as the non-intrusion measurement of physiological parameter are completed on the basis of energy.Have at present and some has had human body physiological parameter measurement
The intelligent chair of function, can acquire the parameters such as heart rate, breathing, weight, the waistline of human body, and segmentation scheme is also equipped with certain analysis
And management function.But these intelligent chairs be mainly directed towards physiology in terms of inspection and management, the parameter recorded be not for essence
Refreshing state quantization, especially most important brain electricity index missing.Moreover, existing intelligent chair lays particular emphasis on acquisition, do not collect ingredient
Processor chips or the processor function for analysing processing are very weak, it is difficult to complete physiological signal analysis and state of mind quantification tasks.
Summary of the invention
Acquisition, the processor chips or processor of non-integrated analysis processing are laid particular emphasis in order to solve intelligent chair in the prior art
Function is very weak, it is difficult to which the problem of completing physiological signal analysis and state of mind quantification tasks, the embodiment of the invention provides one kind
State of mind analysis method, device and multifunctional chair.
The one aspect of the embodiment of the present invention provides a kind of state of mind analysis method, comprising:
Obtain physiological data and behavioral data；
Physiology/the behavioral data is input to preset physiology/behavioral data-spirit quantized value mapping model, is obtained
Physiology/behavior state of mind quantized value；
By the physiology state of mind quantized value and the behavior state of mind quantized value according to default rule at
Reason, obtains the state of mind of user.
Optionally, in the state of mind analysis method described in the embodiment of the present invention, the physiology/behavioral data is defeated
Enter to before preset physiology/behavioral data-spirit quantized value mapping model, further includes: construct the physiology/behavioral data-
Spiritual quantized value mapping model.
Optionally, in the state of mind analysis method described in the embodiment of the present invention, the building physiology/behavior number
Include: according to the step of-spiritual quantized value mapping model
The physiological data of user, the score of behavioral data and state of mind Research advancement on measuring scale are acquired respectively, and to the physiology
Data and the behavioral data are pre-processed；
The physiological data of user is scored at user's state of mind Research advancement on measuring scale referring to giving a mark, the use is obtained
The physiological data score value at family；
According to the physiological data of several users and physiological data score value, physiological data-spirit is obtained by fitting and is quantified
It is worth mapping model；
The behavioral data of user is scored at user's state of mind Research advancement on measuring scale referring to giving a mark, the use is obtained
The behavioral data score value at family；
According to the behavioral data of several users and behavioral data score value, behavioral data-spirit is obtained by fitting and is quantified
It is worth mapping model.
Optionally, in the state of mind analysis method described in the embodiment of the present invention, in the state of mind of obtained user
Later, further includes: the physiology/behavioral data-spirit quantized value mapping model is modified.
Optionally, in the state of mind analysis method described in the embodiment of the present invention, the physiology/behavioral data is defeated
Enter to preset physiology/behavioral data-spirit quantized value mapping model, before obtaining physiology/behavior state of mind quantized value, also
Include:
The physiological data and the behavioral data are pre-processed.
Optionally, in the state of mind analysis method described in the embodiment of the present invention, to the physiological data and the row
It includes one or more in following for carrying out pretreatment for data:
Data synchronization processing is carried out to the physiological data and the behavioral data；
Duplicate removal processing is carried out to the identical data in the physiological data and the behavioral data；
Data filtering processing is carried out to the physiological data and the behavioral data, to remove error code data and invalid number
According to；
The physiological data and the behavioral data are filtered；
Processing is amplified to the physiological data and the behavioral data
Correlation calculations are carried out to the physiological data and the behavioral data, with obtain between each physiological data and/
Or the correlation between each behavioral data；
Dimension-reduction treatment is carried out to the physiological data and the behavioral data, to reduce the evaluation index in each data
Or/and the quantity of data.
Optionally, described by the physiology state of mind in the state of mind analysis method described in the embodiment of the present invention
Quantized value is handled with the behavior state of mind quantized value according to default rule, and the state of mind for obtaining user includes:
The physiology state of mind quantized value and the behavior state of mind quantized value are input to pre-set spirit
It is searched in state fusion model lookup table, obtains the state of mind value of user.
Optionally, in the state of mind analysis method described in the embodiment of the present invention, the physiology quantity includes brain electricity number
According to and electrocardiogram (ECG) data；The behavioral data includes one or more in following: voice data, expression data, gait data, eye
Dynamic data, breath data.
Optionally, in the state of mind analysis method described in the embodiment of the present invention, the physiological data further includes following
In it is one or more: temperature data, pulse data, sweat data, skin pricktest data, myoelectricity data, oximetry data, blood glucose number
According to, blood lipid data, blood pressure data.
Other side according to an embodiment of the present invention provides a kind of state of mind analytical equipment, including data acquisition
Module, data computation module and data analysis module；
The data acquisition module, for obtaining physiological data and behavioral data；
The data computation module, for the physiology/behavioral data to be input to preset physiology/behavioral data-essence
Refreshing quantized value mapping model obtains physiology/behavior state of mind quantized value；
The data analysis module is used for the physiology state of mind quantized value and the behavior state of mind quantized value
It is handled according to default rule, obtains the state of mind of user.
In terms of third according to an embodiment of the present invention, a kind of multifunctional chair is provided, including data acquisition device, visual
Makeup is set and state of mind analytical equipment as described above；
The data acquisition device, for acquiring the physiological data and behavioral data of user, and by the physiological data and
Behavioral data is sent to the state of mind analytical equipment；
The state of mind analytical equipment obtains user's for analyzing the physiological data and behavioral data
The state of mind；
The visualization device, for by physiological data and behavioral data, and/or to the physiological data and behavioral data
The state of mind of the intermediate result, and/or user that obtain when being analyzed is shown.
It optionally, further include chair base, backrest and handrail in the multifunctional chair described in the embodiment of the present invention；
The data acquisition device includes sensor and brain electricity cap, and the sensor is embedded in the handrail and/or backrest,
By the sensor contact of handrail and/or the sensor contact of backrest and human contact, physiological data or the behavior of user is obtained
Data；The brain electricity cap is connect by computer wire cable with the backrest；
The state of mind analytical equipment is embedded in the pedestal or the backrest, by cable and the sensor,
Brain electricity cap and visualization device are connected；
The visualization device is located at the upper plane of the backrest, or is connect by bracket with the backrest.
Optionally, in the multifunctional chair described in the embodiment of the present invention, the sensor being embedded in the handrail includes following
One or more of: EGC sensor, speech transducer, perspiration sensor, myoelectric sensor, skin electric transducer, pulse
Sensor, body temperature transducer, blood oxygen transducer, blood pressure sensor, blood lipid sensor and blood glucose sensor；
The sensor being embedded in the backrest includes one or more of following: EGC sensor, perspiration sensor, flesh
Electric transducer, skin electric transducer, body temperature transducer, speech transducer, expression sensor, gait sensor, eye movement sensor device,
Respiration transducer.
The 4th aspect according to an embodiment of the present invention, provides a kind of state of mind analytical equipment, the equipment includes:
Memory, processor and it is stored in the computer program that can be run on the memory and on the processor, the calculating
Machine program realizes the step of state of mind analysis method as described above when being executed by the processor.
The 5th aspect according to an embodiment of the present invention, provides a kind of computer readable storage medium, the computer
It is stored with computer program on readable storage medium storing program for executing, spirit as described above is realized when the computer program is executed by processor
The step of state analysis method.
The embodiment of the present invention has the beneficial effect that:
State of mind analysis method, device, equipment and computer media provided in an embodiment of the present invention can will collect
Physiology/behavioral data be input to preset physiology/behavioral data-spirit quantized value mapping model, respectively obtain physiology/behavior
State of mind quantized value further obtains the state of mind of user.Multifunctional chair provided in an embodiment of the present invention can provide
Physiology/behavioral data non-intrusion measurement is completed on the basis of chair-function, and obtains the state of mind of user, so that spiritual
State analysis is more portable and efficient.
Detailed description of the invention
Fig. 1 is the flow diagram of state of mind analysis method in first embodiment of the invention；
Fig. 2 is that physiology/behavioral data-spirit quantized value mapping model process signal is constructed in first embodiment of the invention
Figure；
Fig. 3 is the stream being modified in second embodiment of the invention to physiology/behavioral data-spirit quantized value mapping model
Journey schematic diagram；
Fig. 4 is the structural schematic diagram of state of mind analytical equipment in fourth embodiment of the invention；
Fig. 5 is the composed structure schematic diagram of multifunctional chair in fifth embodiment of the invention；
Fig. 6 is the use flow diagram of multifunctional chair；
Fig. 7 is a kind of concrete structure schematic diagram of multifunctional chair；
Fig. 8 is second of concrete structure schematic diagram of multifunctional chair；
Fig. 9 is the third concrete structure schematic diagram of multifunctional chair；
Wherein, 1, brain electricity cap；2, computer wire cable；3, display bracket；4, display；5, brain electricity cap interface；6, backrest；7,
Cable；8, handrail；9, host；10, pedestal；11, sensor contact；12, leg；13, power cable；14, the upper plane of backrest；
15, the side of backrest.
Specific embodiment
The exemplary embodiment that the present invention will be described in more detail below with reference to accompanying drawings.Although showing the present invention in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the present invention without should be by embodiments set forth here
It is limited.It is to be able to thoroughly understand the present invention on the contrary, providing these embodiments, and can be by the scope of the present invention
It is fully disclosed to those skilled in the art.Below in conjunction with attached drawing, the present invention will be described in further detail.It should be appreciated that
The specific embodiments described herein are merely illustrative of the present invention, does not limit the present invention.
Acquisition, the processor chips or processor of non-integrated analysis processing are laid particular emphasis in order to solve intelligent chair in the prior art
Function is very weak, it is difficult to which the problem of completing physiological signal analysis and state of mind quantification tasks, the embodiment of the invention provides one kind
State of mind analysis method, device and multifunctional chair.
First embodiment according to the present invention provides a kind of state of mind analysis method.Fig. 1 is that the present invention first is implemented
The flow diagram of state of mind analysis method in example, as shown in Figure 1, the state of mind analysis side of first embodiment of the invention
Method, comprising the following steps:
S101: physiological data and behavioral data are obtained.
Optionally, physiological data includes brain electricity and electrocardio two in embodiments of the present invention, and it is following in one or
It is multinomial: body temperature, pulse, sweat, skin pricktest, myoelectricity, blood oxygen, blood glucose, blood lipid, blood pressure；Behavioral data includes one in following
It is or multinomial: voice, expression, gait, eye movement, breathing.
Specifically, brain is electric: thering are hat type, earphone-type etc. are a variety of to dress type, there are many port numbers may be selected, each channel
Brain wave is monitored with non-intrusion type dry and wet electrode.
Body temperature: infrared entirety remote sensing integrally detects and multiple small contact formula sensing probes are distributed in body significant points
Detect both macro and micro temperature.
Pulse: real-time pulse is measured by photoelectric sphyg sensor or contactless video sensing, there are the samples such as fingerstall, bandage
Formula.
Voice: high definition microphone automatic collection voice, sample rate are more than 40,000 hertz, filter echo noise.
Expression: high-definition camera records face image, analyzes record expression and micro- expression by data.
Sweat: disposable chip sweat detector reads electrolyte from sweat, sodium, lactic acid, the chemical informations such as protein,
Detect reaction of the body after being moved through.
Skin pricktest: wearable skin electricity dry and wet electrode is affixed on skin, measures electrodermal reaction.
Gait: full angle high-definition camera records the mobile video recording of user of chair attachment, arrives track posture by calculating
The information such as gait.
Eye movement: spectacle high definition eye tracker measures eye movement and pupil size data.
Myoelectricity: wearable electrode is affixed on extremity surface, measures myoelectricity point.
Electrocardio: wearable Portable bandage electrode measures electrocardio electric wave.
Breathing: by contraction type respirometer, breathing carbon dioxide and rate are measured.
Blood oxygen: the real-time content of finger cot type or bandage type photoelectricity BOLD contrast measurement blood oxygen.
Blood glucose: blood sugar concentration is measured by blood-sugar detecting instrument automatic collection blood sample.
Blood lipid: three sample of blood lipid is measured by lipids detection instrument automatic collection blood sample, total cholesterol, triglycerides and blood are highly dense
Cholesterol is spent, reflects artery and cardiovascular and cerebrovascular situation.
Blood pressure: finger, arm type blood pressure instrument survey high low blood pressure automatically.
S102: being input to preset physiology/behavioral data-spirit quantized value mapping model for the physiology/behavioral data,
Obtain physiology/behavior state of mind quantized value.That is the physiological data preset physiological data-spirit is input to measure
Change value mapping model obtains physiology state of mind quantized value；The behavioral data is input to preset behavioral data-spirit amount
Change value mapping model obtains behavior state of mind quantized value.
Optionally, before S102, further includes: construct the physiological data-spirit quantized value mapping model and the row
For data-spirit quantized value mapping model.Fig. 2 is that physiology/behavioral data-spirit quantized value is constructed in first embodiment of the invention
Mapping model flow diagram, as shown in Fig. 2, building physiology/behavioral data-spirit quantized value mapping model, including following step
It is rapid:
The physiological data of user, the score of behavioral data and state of mind Research advancement on measuring scale are acquired respectively.Wherein, physiological data
L includes one or more in following: brain wave data Lb, temperature data Lt, pulse data Lp, myoelectricity data Lm, electrocardiogram (ECG) data
Lh, oximetry data Lo, blood glucose level data Ls, skin pricktest data Lg, blood lipid data Lf, blood pressure data Lpr, sweat data Lpe.Behavior number
It include one or more in following according to B: voice Bv, expression Bf, gait Bg, eye movement Be, breathe Bb。
The physiological data of user is scored at reference with user's state of mind Research advancement on measuring scale to be given a mark (i.e. by user
In state of mind scale Score Normalization to specified section), obtain the physiological data score value of the user；According to several users'
Physiological data and physiological data score value obtain physiological data-spirit quantized value mapping model by fitting.The quantity of user is got over
More, obtained physiological data-spirit quantized value mapping model precision is higher.Exemplary, physiological data-spirit quantized value maps mould
The output of type is the specific value of section [0,100], wherein [0,40), [40,70), [70,100] three sections can be by user's
Physiological data is quantified as difference, good, excellent totally three states.
The behavioral data of user is scored at reference with user's state of mind Research advancement on measuring scale to be given a mark (i.e. by user
In state of mind scale Score Normalization to specified section), the behavioral data score value of the user is obtained, according to several users'
Behavioral data and behavioral data score value obtain behavioral data-spirit quantized value mapping model by fitting.With physiological data-essence
Refreshing quantized value mapping model is identical, and the quantity of user is more, and obtained behavioral data-spirit quantized value mapping model precision is got over
It is high.Exemplary, the output of behavioral data-spirit quantized value mapping model is the specific value of section [0,100], wherein [0,
40), [40,70), [70,100] three sections the behavioral data of user can be quantified as difference, good, excellent totally three states.
Specifically, state of mind Research advancement on measuring scale includes: the scoring event for evaluating the scale of psychotic symptoms severity
SpWith Psychological Evaluation scale scoring event Sm, user's state of mind Research advancement on measuring scale is scored at S according to default rulepAnd Sm
The score value handled.Exemplary, state of mind score value can be calculated using the following method, pass through k*S firstp
+(1-k)*SmIt carries out that scale score S is calculated, wherein parameter preset of the k between 0-1, is rule of thumb configured.It calculates
The maximum value Smax of scale score and the minimum value Smin of scale score are obtained, scale score is normalized to certain section
Interior, formula example is [0,100], and it is S*100/ (Smax-Smin) that spiritual quantized value, which is calculated, by normalization.
Specifically, the approximating method, including BP neural network, logistic regression, decision tree, support vector machines, integrated
The one or more of the methods of learning method pass through the fitting between study physiology/behavioral data and physiology/behavioral data score value
Parameter obtains physiology/behavioral data-spirit quantization mapping model.Exemplary, physiological data is brain wave data Lb, electrocardio number
According to Lh, to brain wave data LbFeature extraction is carried out, n feature of extraction constitutes brain wave data vector [Lb1,Lb2,Lb3,…
Lbn].To electrocardiogram (ECG) data LhFeature extraction is carried out, m feature of extraction constitutes electrocardiogram (ECG) data vector [Lh1,Lh2,Lh3,…Lhm].String
Connection constitutes brain wave and cardiac electrical physiological data vector LM=[Lb1,Lb2,Lb3,…Lbn, Lh1,Lh2,Lh3,…Lhm].Physiological data
Spiritual quantized value is obtained by referring to scale score as S.Then physiological data-state of mind mapping model is YL* LM=S.Wherein YL
=[yl1,yl2,...ylm+n], it is fitted to obtain by learning methods such as logistic regressions.
Specifically, the physiological data L is input to preset physiological data-spirit quantized value mapping model YL, obtain
Physiology state of mind quantized value fL；The behavioral data B is input to preset behavioral data-spirit quantized value mapping model YB,
Obtain behavior state of mind quantized value fB。
S103: by the physiology state of mind quantized value and the data state of mind quantized value according to default rule into
Row processing, obtains the state of mind of user.
Specifically, by the physiology state of mind quantized value and the behavior state of mind quantized value according to default rule
It is handled, the state of mind for obtaining user includes: by the physiology state of mind quantized value and the behavior state of mind amount
Change value is input in pre-set state of mind Fusion Model look-up table and is searched, and obtains the state of mind value of user.Institute
The Fusion Model look-up table that default rule includes the pre-set state of mind is stated, with physiology state of mind quantized value fBAnd row
For state of mind quantized value fLFor input, the model parameter of look-up table is updated by machine learning and model training, is exported as use
The state of mind value at family.
As a kind of optional embodiment of the embodiment of the present invention, such as work as fBFor [0,40), fLFor [0,40) when, at this time
Assert the state of mind be [0,40), specific value is averaged.Work as fBFor [0,40), fLFor [40,70) when, spirit is assert at this time
State is α * fL+β*fB, make: alpha+beta=1.α and β value empirically give initial value, by model training undated parameter α and β.Other
According to table one, the rest may be inferred.
Table one: the Fusion Model look-up table of the state of mind
| fB0~40 | fB40~70 | fB70~100 | |
| fL0~40 | 0~40 | α*fL+β*fB | 40~70 |
| fL40~70 | α*fL+β*fB | 40~70 | α*fL+β*fB |
| fL70~100 | 40~70 | α*fL+β*fB | 70~100 |
Exemplary, the output of the state of mind of user is the specific value of section [0,100], wherein [0,40), [40,
70), the state of mind can be quantified as difference by [70,100] three sections, good, excellent totally three states.
The state of mind analysis method that first embodiment of the invention provides can carry out the state of mind from following several angles
Analysis: behavioural analysis, health status analysis, cognitive state analysis, mood analysis.Wherein: behavioural analysis refers to tested personnel's
Behavior is assessed, such as reaction speed；Health status analysis refers to the evaluation that health aspect is carried out to the state of mind of tested personnel,
Such as degree of fatigue；Cognitive state analysis assesses the state of mind of tested personnel from the angle of Cognitive Processing, such as recognizes negative
Lotus, temporary memory etc.；Mood analyzes the state of mind from the angle estimator tested personnel of mood, such as anxiety, fear, happiness
Deng.
The state of mind analysis method that first embodiment of the invention provides, can be defeated by collected physiology/behavioral data
Enter to preset physiology/behavioral data-spirit quantized value mapping model, respectively obtains physiology/behavior state of mind quantized value, it is defeated
Enter to the Fusion Model look-up table of the state of mind further to obtain the state of mind of user.
Second embodiment according to the present invention provides a kind of state of mind analysis method.Second embodiment of the invention
State of mind analysis method, comprising the following steps:
S201: acquisition physiological data and behavioral data.
S202: being input to preset physiology/behavioral data-spirit quantized value mapping model for the physiology/behavioral data,
Obtain physiology/behavior state of mind quantized value；
S203: by the physiology state of mind quantized value and the data state of mind quantized value according to default rule into
Row processing, obtains the state of mind of user.
S204: the physiology/behavioral data-spirit quantized value mapping model is modified.User after acquisition is adjusted
Physiological data, behavioral data are input in physiology/behavioral data-spirit quantized value mapping model, to the physiology/behavior
Data-spirit quantized value mapping model is modified.
Fig. 3 is the stream being modified in second embodiment of the invention to physiology/behavioral data-spirit quantized value mapping model
Journey schematic diagram.As shown in figure 3, establishing model by multi-group data first, single group measurement data, output are then inputted in a model
Spiritual quantized value.According to spiritual quantized value, short-term, medium and long term feedback is carried out.The short-term feedback period is generally 10 minutes left sides
Right magnitude；Mid-term feedback cycle is 1 week to several months；Long-term feedback is the time of several months to several years.Every time after feedback, model is defeated
Enter new measurement data and data is made always to organize number and adds one；Model constantly improve oneself according to the new adaptive adjusting parameter of total data.
Therefore, as Times of Feedback improves, model meeting recurrence improves oneself and improves the spiritual quantified precision of output.When model foundation
Use physiological data, behavioral data, scale data as the reference frame for establishing model；Subsequent short-term feedback, mid-term feedback
Mainly using physiological data and behavioral data as the foundation of feedback.Long-term feedback try again scale evaluation and test, obtain scale data,
Use physiological data, behavioral data, scale data as the reference frame for establishing model, comprehensive analysis is anti-from macroscopically
Present effect.
The state of mind analysis method that second embodiment of the invention provides, not only can use physiology/behavioral data-spirit
Quantized value mapping model obtains the state of mind of user, and provides to physiology/behavioral data-spirit quantized value mapping mould
The method that type is modified.
Third embodiment according to the present invention provides a kind of state of mind analysis method.Third embodiment of the invention
State of mind analysis method, comprising the following steps:
S301: acquisition physiological data and behavioral data.
S302: the first pretreatment is carried out to the physiological data and the behavioral data.
As a kind of optional embodiment of the embodiment of the present invention, the is carried out to the physiological data and the behavioral data
One pretreatment includes one or more in following: carrying out data synchronization processing to the physiological data and the behavioral data；
Duplicate removal processing is carried out to the identical data in the physiological data and the behavioral data；To the physiological data and the behavior
Data carry out data filtering processing, to remove error code data and invalid data；To the physiological data and the behavioral data into
Row filtering processing；Processing is amplified to the physiological data and the behavioral data；To the physiological data and the behavior
Data carry out correlation calculations；Dimension-reduction treatment is carried out to the physiological data and the behavioral data.
Specifically, data synchronization processing is realized to including brain electricity, body temperature, pulse, voice, expression, sweat, skin pricktest, step
The multi-modal physiological data such as state, eye movement, myoelectricity, electrocardio, breathing, blood oxygen, blood glucose, blood lipid, blood pressure prison synchronous with behavioral data
Control.
Data deduplication processing for not homologous physiological data and behavioral data are combed and are screened, to identical data into
Row data deduplication.
To carry out matching screening by multiple rule, filtering error code data and invalid data, output has for data filtering processing
The multi-source physiological data and behavioral data of effect.
Correlation calculations are to calculate correlation between each different physiological data B, incidence relation, and as physiology number
According to a part of B.Such as comprising two indices brain electricity and electrocardio in script physiological data B, but after relevant calculation, moreover it is possible to
Correlation between obtained brain electricity and electrocardio, adds it in physiological data B, and the physiological data reformed as one refers to
Mark.
Dimension-reduction treatment is embodied in two aspects:
(1) assume more than ten of index in electrocardio, several indexs being affected are chosen in electrocardio；Specific method is,
Remove one of index, sees that whether there is or not influences on the result of excellent, good, poor；
(2) assume that physiology has n1 to tie up variable, behavior has n2 to tie up variable, and physiology and behavioral data share n1+n2 and tie up variable.It is logical
Certain mapping relations are crossed, this n1+n2 is tieed up into variable mappings and ties up variable, n3 < n1+n2 to n3.This n3 dimension is completely new orthogonal spy
Sign.This n3 dimensional feature is known as principal component, is the n3 dimensional feature for reconfiguring out, must can retain original n1+n2 to greatest extent
The information that dimensional feature includes.
S303: being input to preset physiology/behavioral data-spirit quantized value mapping model for the physiology/behavioral data,
Obtain physiology/behavior state of mind quantized value；
S304: by the physiology state of mind quantized value and the data state of mind quantized value according to default rule into
Row processing, obtains the state of mind of user.
The state of mind analysis method that third embodiment of the invention provides, it is pre- physiological data/behavioral data to be input to
If physiology/behavioral data mapping model before, further include that the first place in advance is carried out to the physiological data and the behavioral data
Reason, not only can be improved the accuracy of processing result, but also can reduce complexity when data processing.
Specifically, the fourth embodiment of the present invention provides a kind of state of mind analytical equipment.Fig. 4 is that the present invention the 4th is real
The structural schematic diagram of state of mind analytical equipment in example is applied, as shown in figure 4, the state of mind of fourth embodiment of the invention analyzes dress
It sets including data acquisition module 40, data computation module 41, data analysis module 42, each module is described in detail below.
Data acquisition module 40, for obtaining physiological data and behavioral data.
Specifically, the physiology quantity includes eeg data and electrocardiogram (ECG) data；The behavioral data includes one in following
Item is multinomial: voice data, expression data, gait data, eye movement data, breath data.
The physiological data further includes one or more in following: temperature data, pulse data, sweat data, skin
Electric data, myoelectricity data, oximetry data, blood glucose level data, blood lipid data, blood pressure data.
Data computation module 41, for the physiology/behavioral data to be input to preset physiology/behavioral data-spirit
Quantized value mapping model obtains physiology/behavior state of mind quantized value.That is the physiological data is input to preset
Physiological data-spirit quantized value mapping model, obtains physiology state of mind quantized value；The behavioral data is input to preset
Behavioral data-spirit quantized value mapping model, obtains behavior state of mind quantized value.
Data analysis module 42, for quantifying the physiology state of mind quantized value and the data behavior state of mind
Value is handled according to default rule, obtains the state of mind of user.
Optionally, data analysis module 42 is specifically used for: by the physiology state of mind quantized value and behavior spirit
State quantized value is input in pre-set state of mind Fusion Model look-up table and is searched, and obtains the state of mind of user
Value.
As a kind of optional embodiment of the embodiment of the present invention, the state of mind analytical equipment of the embodiment of the present invention is also wrapped
Model construction module 43 is included, for the physiology/behavioral data to be input to preset physiology/behavioral data-spirit quantization
It is worth before mapping model, constructs the physiology/behavioral data-spirit quantized value mapping model.
The model construction module 43 is specifically used for:
The physiological data of user, the score of behavioral data and state of mind Research advancement on measuring scale are acquired respectively, and to the physiology
Data and the behavioral data carry out the first pretreatment；
The physiological data of user is scored at user's state of mind Research advancement on measuring scale referring to giving a mark, the use is obtained
The physiological data score value at family；
According to the physiological data of several users and physiological data score value, physiological data-spirit is obtained by fitting and is quantified
It is worth mapping model；
The behavioral data of user is scored at user's state of mind Research advancement on measuring scale referring to giving a mark, the use is obtained
The behavioral data score value at family；
According to the behavioral data of several users and behavioral data score value, behavioral data-spirit is obtained by fitting and is quantified
It is worth mapping model.
As a kind of optional embodiment of the embodiment of the present invention, the data computation module 41 of the embodiment of the present invention is also used
In: the physiology/behavioral data is being input to preset physiology/behavioral data-spirit quantized value mapping model, is being given birth to
Before reason/behavior state of mind quantized value, the physiological data and the behavioral data are pre-processed.
The data computation module 41 is specifically used for:
Data synchronization processing is carried out to the physiological data and the behavioral data；
Or/and duplicate removal processing is carried out to the identical data in the physiological data and the behavioral data；
Or/and data filtering processing is carried out to the physiological data and the behavioral data, to remove error code data and nothing
Imitate data；
Or/and the physiological data and the behavioral data are filtered；
Or/and processing is amplified to the physiological data and the behavioral data
Or/and correlation calculations are carried out to the physiological data and the behavioral data, with obtain each physiological data it
Between and/or each behavioral data between correlation；
Or/and dimension-reduction treatment is carried out to the physiological data and the behavioral data, to reduce the evaluation in each data
The quantity of index or/and data.
As a kind of optional embodiment of the embodiment of the present invention, the embodiment of the invention also includes correction modules 44:
The correction module 44, for being measured to physiology/behavioral data-spirit after the state of mind of obtained user
Change value mapping model is modified.
The fifth embodiment of the present invention provides a kind of multifunctional chair, and the state of mind including fourth embodiment analyzes dress
It sets, data acquisition device and visualization device.
Wherein, the data acquisition device, for acquiring the physiological data and behavioral data of user, and by the physiology number
The state of mind analytical equipment is sent to according to behavioral data；
The state of mind analytical equipment obtains user's for analyzing the physiological data and behavioral data
The state of mind；
The visualization device, for by physiological data and behavioral data, and/or to the physiological data and behavioral data
The state of mind of the intermediate result, and/or user that obtain when being analyzed is shown.
Fig. 5 is the composed structure schematic diagram of multifunctional chair in fifth embodiment of the invention, as shown in figure 5, multifunctional chair packet
Include data acquisition device (pulse module, blood pressure module, blood oxygen module, blood glucose module, blood lipid module, myoelectricity module in Fig. 5,
Sweat module, body temperature module, breathing module, expression module, ECG module, brain electricity module, eye movement module, gait module are number
According to acquisition device), the state of mind analytical equipment of fourth embodiment (it is single to be equivalent to control in Fig. 5 and algorithm unit, storage
Member, communication unit), visualization device (being equivalent to the display output unit in Fig. 5).Additionally include power supply unit.
It optionally, further include chair base, backrest and handrail in the multifunctional chair that fifth embodiment of the invention provides；
The data acquisition device includes sensor and brain electricity cap, and the sensor is embedded in the handrail and/or backrest, passes through handrail
Sensor contact and/or backrest sensor contact and human contact, obtain the physiological data or behavioral data of user；It is described
Brain electricity cap is connect by computer wire cable with the backrest；The state of mind analytical equipment is embedded in the pedestal or the backrest
In, it is connected by cable with the sensor, brain electricity cap and visualization device；The visualization device is located at the upper of the backrest
Plane, or connect by bracket with the backrest.
Specifically, the sensor being embedded in the handrail includes one or more of following: EGC sensor, voice pass
Sensor, perspiration sensor, myoelectric sensor, skin electric transducer, pulse transducer, body temperature transducer, blood oxygen transducer, blood pressure
Sensor, blood lipid sensor and blood glucose sensor；The sensor being embedded in the backrest includes one or more of following: the heart
Electric transducer, perspiration sensor, myoelectric sensor, skin electric transducer, body temperature transducer, speech transducer, expression sensor,
Gait sensor, eye movement sensor device, respiration transducer.
The multifunctional chair of the embodiment of the present invention quantifies demand for the state of mind, is integrated with closely related with the state of mind
Brain electricity, electrocardio, body temperature, the sensors such as skin pricktest, realize the acquisition function of various clinical Index for examination；Simultaneously by spiritual shape
State analytical equipment is embedded in multifunctional chair, being capable of the analysis of physiological data and behavioral data completion to the state of mind based on acquisition
And assessment, and by subsidiary display output display as a result, chair is enable independently to realize spiritual quantitative evaluation function.
Visualization device can be interacted directly with user, provide local virtual interactive interface and remote visualization interaction function
Can, the multiple terminals equipment such as compatible multifunctional chair display, intelligent terminal, PC machine.
Wherein, local visualization and Cross support to the initial data of collected multi-source physiological data and behavioral data with
And pretreated data generate several understandable visualization figures and show；The state of mind for showing user is supported to quantify knot
Fruit；It supports the visualization of a variety of regulative modes to present, audio is provided and adjusts, video adjusting, the feedback regulation of brain electricity biological neural, recognize
Know that training feedback adjusts the computer presentation of program；Spirit quantization and the visualization of auxiliary adjustment training effect is supported to present, it is right
Than the state of mind change situation of training front and back；Support historical data to transfer and visualization function, 1 month in the past can be recalled with
The visualizations figures such as interior physiological data and behavioral data, spirit quantization and auxiliary adjustment training effect data；Support physiological data
It is shared with behavioral data analysis result, spiritual quantized result, the key transmission of auxiliary adjustment training result and a key；It supports to receive
The suggested design of cloud push, and carry out local visualize and present.
Remote visualization with interact by the state of mind quantify cloud platform, by the multi-source physiological data locally generated and behavior
The initial data of data and treated data, spirit quantization and auxiliary adjustment training effect data transmission to cloud, remotely
Terminal (including mobile phone, Pad, PC machine etc.) can remotely obtain the state of mind information that multifunctional chair measurement obtains in real time.Remotely
Visualization supports a variety of intelligent terminals such as mobile phone, Pad, PC machine with interactive module.The original of support source physiological data and behavioral data
The visual analyzing of beginning data and treated data.Spirit quantization is supported to visualize with auxiliary adjustment training effect.Doctor,
Community or guardian can carry out real-time tracing to multifunctional chair measurement result by remote visualization and interactive module, and sharing pushes away
The spirit quantization recommended and auxiliary adjustment training program to local visualization and interactive module, realize that interaction is shared.
Fig. 6 is the use flow diagram of multifunctional chair.As shown in fig. 6, tested personnel takes one's seat after powering on, it will be double
Sensor contact on hand and multifunctional chair is in close contact, and wears brain electricity cap, and it is good to guarantee that computer wire cable is patched with multifunctional chair
It is good.System will test the contact condition of tested personnel and sensor, and be reminded in due course by modes such as display screen or voices tested
Personnel are by correct mode contact sensor and fastening connector.After everything is ready, system enters data synchronous recording state.Root
State of mind quantized result is obtained according to collected multi-source physiological data and behavioral data, and is exported result by display screen,
State of mind assessment terminates.
Fig. 7 is a kind of concrete structure schematic diagram of multifunctional chair.As shown in fig. 7, comprises chair base 10, leg 12, backrest
6, handrail 8, display 4, host 9 (being equivalent to above-mentioned state of mind analytical equipment), brain electricity cap 1, the sensor touching on handrail 8
Point 11, cable 7 etc..The position of giving a hand of left and right handrail 8 is each provided at least one sensor contact 11, and sensor passes through cable 7
It is connected with host 9, the physiology of acquisition and behavioral data can be transferred to host 9.The sensor can at least acquire use
The electrocardiosignal of person.EGC sensor is measured using electric pole type principle, can not also be done herein using other principles such as photo-electrics
Limitation.Brain electricity cap 1 is connected by brain electricity cap interface 5 on backrest 6 and cable 7 with host 9, and the brain that can acquire tested personnel is electric
Signal is simultaneously transferred to host 9.This interface 5 also can be set on pedestal 10, herein with no restrictions.The brain electricity cap 1 at least can
Enough acquire the EEG signals in a channel.Brain electricity cap 1 can use wet electrode, dry electrode or half wet electrode, lead mode, port number
Amount and position are herein with no restrictions.Display 4 is connected by cable 7 with host 9, being capable of display operation information and output spirit amount
Change assessment result.The display 4 is mounted on display bracket 3, can carry out rotation and lifting by display bracket 3.It should
Display 4 can have touch function, to receive the operation of tested personnel.The host 9 includes processor, memory, power supply
Management module etc..The host 9 can have network function, can send out the data of acquisition and result by wired or wireless network
It is sent to remote server or neighbouring computer terminal (such as smart phone), so that user passes through distinct device and ground
Point access.
Fig. 8 is second of concrete structure schematic diagram of multifunctional chair.As shown in figure 8, including chair base 10, band universal wheel
Supporting leg 12, backrest 6, handrail 8, display 4, host 9 (being equivalent to above-mentioned state of mind analytical equipment), brain electricity cap 1, handrail
Sensor contact 11, cable 7 on 8 etc..Chair can be moved freely and be carried out a degree of lifting, rotation by supporting leg.Its
Complementary work can be identical as Fig. 7.
Fig. 9 is the third concrete structure schematic diagram of multifunctional chair, as shown in figure 9, including chair base 10, backrest etc..
Control is embedded in chair base 10 with algorithm unit (being equivalent to above-mentioned state of mind analytical equipment).The side of the backrest of chair
Face 15 is embedded in eye movement module (containing eye movement sensor device), gait acquisition camera (containing gait sensor).Back
Upper plane 14 is foldable.The upper plane 14 of back has display function, and is embedded in sweat module and (senses containing sweat
Device), myoelectricity module (containing myoelectric sensor), body temperature module (containing body temperature transducer), expression acquisition camera module (contain
Expression sensor), survey Pitot-static tube (containing respiration transducer) of breathing etc..Chair can carry out double-deck folding by supporting leg.Its
Complementary work can be with a upper homomorphosis.
The embodiment of the invention also provides a kind of state of mind analytical equipment, described device include: memory, processor and
It is stored in the computer program that can be run on the memory and on the processor, the computer program is by the processing
The step of state of mind analysis method as described in first embodiment~3rd embodiment is realized when device executes, and be able to achieve same
Technical effect, details are not described herein.
The embodiment of the invention also provides a kind of computer readable storage medium, deposited on the computer readable storage medium
Computer program is contained, is realized as described in first embodiment~3rd embodiment when the computer program is executed by processor
The step of state of mind analysis method, and it is able to achieve same technical effect, details are not described herein.
The above is only the embodiment of the present invention, are not intended to restrict the invention, and come for those skilled in the art
It says, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any modification, equivalent
Replacement, improvement etc., should be included within scope of the presently claimed invention.
Claims (15)
1. a kind of state of mind analysis method characterized by comprising
Obtain physiological data and behavioral data；
Physiology/the behavioral data is input to preset physiology/behavioral data-spirit quantized value mapping model, obtain physiology/
Behavior state of mind quantized value；
The physiology state of mind quantized value is handled with the behavior state of mind quantized value according to default rule, is obtained
To the state of mind of user.
2. state of mind analysis method as described in claim 1, which is characterized in that inputted by the physiology/behavioral data
To before preset physiology/behavioral data-spirit quantized value mapping model, further includes: construct the physiology/behavioral data-essence
Refreshing quantized value mapping model.
3. state of mind analysis method as claimed in claim 2, which is characterized in that the building physiology/behavioral data-
The step of spiritual quantized value mapping model includes:
The physiological data of user, the score of behavioral data and state of mind Research advancement on measuring scale are acquired respectively, and to the physiological data
It is pre-processed with the behavioral data；
The physiological data of user is scored at user's state of mind Research advancement on measuring scale referring to giving a mark, obtains the user's
Physiological data score value；
According to the physiological data of several users and physiological data score value, physiological data-spirit quantized value is obtained by fitting and is reflected
Penetrate model；
The behavioral data of user is scored at user's state of mind Research advancement on measuring scale referring to giving a mark, obtains the user's
Behavioral data score value；
According to the behavioral data of several users and behavioral data score value, behavioral data-spirit quantized value is obtained by fitting and is reflected
Penetrate model.
4. state of mind analysis method as described in claim 1, which is characterized in that obtained user the state of mind it
Afterwards, further includes: the physiology/behavioral data-spirit quantized value mapping model is modified.
5. state of mind analysis method as described in claim 1, which is characterized in that inputted by the physiology/behavioral data
It is also wrapped before obtaining physiology/behavior state of mind quantized value to preset physiology/behavioral data-spirit quantized value mapping model
It includes:
The physiological data and the behavioral data are pre-processed.
6. state of mind analysis method as claimed in claim 3 or 5, which is characterized in that the physiological data and the row
It includes one or more in following for carrying out pretreatment for data:
Data synchronization processing is carried out to the physiological data and the behavioral data；
Duplicate removal processing is carried out to the identical data in the physiological data and the behavioral data；
Data filtering processing is carried out to the physiological data and the behavioral data, to remove error code data and invalid data；
The physiological data and the behavioral data are filtered；
Processing is amplified to the physiological data and the behavioral data
Correlation calculations are carried out to the physiological data and the behavioral data, to obtain between each physiological data and/or each
Correlation between a behavioral data；
Dimension-reduction treatment is carried out to the physiological data and the behavioral data, with reduce evaluation index in each data or/and
The quantity of data.
7. state of mind analysis method as described in claim 1, which is characterized in that described to quantify the physiology state of mind
Value is handled with the behavior state of mind quantized value according to default rule, and the state of mind for obtaining user includes:
The physiology state of mind quantized value and the behavior state of mind quantized value are input to the pre-set state of mind
It is searched in Fusion Model look-up table, obtains the state of mind value of user.
8. state of mind analysis method as described in any one of claims 1 to 7, which is characterized in that
The physiology quantity includes eeg data and electrocardiogram (ECG) data；
The behavioral data includes one or more in following: voice data, gait data, eye movement data, is exhaled at expression data
Inhale data.
9. state of mind analysis method as claimed in claim 8, which is characterized in that the physiological data further includes in following
It is one or more: temperature data, pulse data, sweat data, skin pricktest data, myoelectricity data, oximetry data, blood glucose level data,
Blood lipid data, blood pressure data.
10. a kind of state of mind analytical equipment, which is characterized in that including data acquisition module, data computation module and data point
Analyse module；
The data acquisition module, for obtaining physiological data and behavioral data；
The data computation module is measured for the physiology/behavioral data to be input to preset physiology/behavioral data-spirit
Change value mapping model obtains physiology/behavior state of mind quantized value；
The data analysis module, for by the physiology state of mind quantized value and the behavior state of mind quantized value according to
Default rule is handled, and the state of mind of user is obtained.
11. a kind of multifunctional chair, which is characterized in that including data acquisition device, visualization device and described in any one of claim 10
State of mind analytical equipment；
The data acquisition device, for acquiring the physiological data and behavioral data of user, and by the physiological data and behavior
Data are sent to the state of mind analytical equipment；
The state of mind analytical equipment obtains the spirit of user for analyzing the physiological data and behavioral data
State；
The visualization device, for being carried out by physiological data and behavioral data, and/or to the physiological data and behavioral data
The state of mind of the intermediate result, and/or user that obtain when analysis is shown.
12. multifunctional chair as claimed in claim 11, which is characterized in that further include chair base, backrest and handrail；
The data acquisition device includes sensor and brain electricity cap, and the sensor is embedded in the handrail and/or backrest, passes through
The sensor contact of handrail and/or the sensor contact of backrest and human contact obtain the physiological data or behavioral data of user；
The brain electricity cap is connect by computer wire cable with the backrest；
The state of mind analytical equipment is embedded in the pedestal or the backrest, passes through cable and the sensor, brain electricity
Cap and visualization device are connected；
The visualization device is located at the upper plane of the backrest, or is connect by bracket with the backrest.
13. multifunctional chair as claimed in claim 12, which is characterized in that
The sensor being embedded in the handrail includes one or more of following: EGC sensor, speech transducer, sweat pass
Sensor, myoelectric sensor, skin electric transducer, pulse transducer, body temperature transducer, blood oxygen transducer, blood pressure sensor, blood lipid
Sensor and blood glucose sensor；
The sensor being embedded in the backrest includes one or more of following: EGC sensor, perspiration sensor, myoelectricity pass
Sensor, skin electric transducer, body temperature transducer, speech transducer, expression sensor, gait sensor, eye movement sensor device, breathing
Sensor.
14. a kind of state of mind analytical equipment, which is characterized in that described device includes: memory, processor and is stored in described
It is real when the computer program is executed by the processor on memory and the computer program that can run on the processor
Now such as the step of state of mind analysis method according to any one of claims 1 to 9.
15. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program realizes that the state of mind according to any one of claims 1 to 9 such as is analyzed when the computer program is executed by processor
The step of method.
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| CN201810723856.XA CN109124655A (en) | 2018-07-04 | 2018-07-04 | State of mind analysis method, device, equipment, computer media and multifunctional chair |
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| CN201810723856.XA CN109124655A (en) | 2018-07-04 | 2018-07-04 | State of mind analysis method, device, equipment, computer media and multifunctional chair |
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| CN110059232A (en) * | 2019-03-15 | 2019-07-26 | 杭州电子科技大学 | A kind of data visualization method based on user experience measurement |
| CN110141259A (en) * | 2019-06-04 | 2019-08-20 | 清华大学 | A method and device for measuring cognitive load and psychological stress based on wireless communication |
| CN110507335A (en) * | 2019-08-23 | 2019-11-29 | 山东大学 | Method and system for assessing the mental health status of prisoners based on multi-modal information |
| CN111275956A (en) * | 2020-05-06 | 2020-06-12 | 台州市远行客网络技术有限公司 | Physiological data ultra-low power consumption acquisition system |
| CN113100768A (en) * | 2021-04-14 | 2021-07-13 | 中国人民解放军陆军特色医学中心 | Computer vision incapability and damage effect evaluation system |
| CN115192907A (en) * | 2022-07-29 | 2022-10-18 | 北京理工大学 | Real-time biofeedback percutaneous vagus nerve electronic acupuncture device |
| CN116595423A (en) * | 2023-07-11 | 2023-08-15 | 四川大学 | Air traffic controller cognitive load assessment method based on multi-feature fusion |
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| CN116595423A (en) * | 2023-07-11 | 2023-08-15 | 四川大学 | Air traffic controller cognitive load assessment method based on multi-feature fusion |
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