CN202875338U - Motion frequency obtaining device - Google Patents
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- CN202875338U CN202875338U CN 201220244206 CN201220244206U CN202875338U CN 202875338 U CN202875338 U CN 202875338U CN 201220244206 CN201220244206 CN 201220244206 CN 201220244206 U CN201220244206 U CN 201220244206U CN 202875338 U CN202875338 U CN 202875338U
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Abstract
The utility model relates to the technical field of a computer and discloses a motion frequency obtaining device. The motion frequency obtaining device comprises an acceleration sensor, a trigger signal analysis module and a frequency confirmation module. The acceleration sensor is used for detecting an acceleration signal of a user in the process of motion in real time. The trigger signal analysis module is used for calculating and obtaining a change rate signal of acceleration with time in the process of motion. The frequency confirmation module is used for calculating frequency of the change rate signal of the acceleration with the time in the process of motion, and confirmed frequency is motion frequency. The motion frequency obtaining device can accurately catch the motion frequency of the user.
Description
Technical field
This utility model relates to field of computer technology, particularly a kind of motion frequency deriving means.
Background technology
Nervimotion is collaborative be human central nervous system, peripheral nervous system, autonomic nerve, with the autonomous synergistic function of motor system.Studies show that, the in various degree nerve centre functional lesion owing to the reasons such as disease, dysplasia, wound, neurosurgery cause such as cognitive dysfunction, will affect patient's nervimotion synergistic function.And the nervimotion synergistic function has and can cognitive competence, the learning capacity of object be concentrated such as energy, thinking speed, and the ability of reading and writing and so on exerts an influence.
Over nearly 10 years, neural Synergy and neural plastic theory are admitted widely, seek a kind of effective way cental system is carried out suitable intervention, we just can understand neuromotor function and the learning skill of object and the contact of other behaviors, psychology and spiritual problem, obstacle and so on of object, by appropriate training, we also can improve the neuromotor function of object and the learning skill of object.
And through studies show that, simple and accurate by finishing some, and task of needing maincenter just can carry out easily, may just can reflect or cognition, study or the behavior of description object on ability, thereby assessment neuromotor function, and by targetedly training, we think that the lifting of the ability of finishing these tasks also just means the lifting of neuromotor function.
At present for assessment of with equipment or the system of training neuromotor function, the ultimate principle of its training is, system sends the signal that instructs of audition or vision, measurand instructs the requirement of signal to finish corresponding action according to this, the user all can trigger a sensor in the moment of each execution, this sensor triggers the moment of determining user's execution by this, moment of whether instructing semaphore request to finish moment of finishing by this action is relatively judged the neuromotor function situation of current measurand, and namely prior art systems belongs to the nervus motorius harmony of judging measurand by phase demodulation.
In the prior art, when sensing user is moved, often only detect the moment that user action is finished, finish moment whether on system requirements deadline point or in the allowed band by this user action relatively, if, think that then the user has accurately finished corresponding action according to system requirements, otherwise that the user fails is fine according to the system requirements execution.There are two following defectives in it:
1, the accurate implementation of monitor user ' action of system is for example known the zero-time of its action executing etc.;
2, in the application process of said system, if measurand is carved the moment of having missed a requirement at a time, for example postpone execution in 5 seconds, an action must require to accelerate to finish just in 5 seconds and may catch up with the beat that instructs signal then, if and it is according to predetermined beat action, it can't finish in the moment of instructing semaphore request the action of next, and it is relatively poor or unbalance to be judged to neuromotor function, and above-mentioned acceleration can cause the neuromotor function of measurand further unbalance, cause actual needs to make system obtain the conclusion coordinating to finish by inharmonic action executing, therefore the detection accuracy of the system of prior art is not high, even violated the basic theories that nervimotion is coordinated: make measurand according to regular beat execution.
The utility model content
This utility model embodiment the first purpose is: a kind of motion frequency deriving means is provided, uses this technical scheme and can accurately catch and get access to the user to motion frequency.
A kind of motion frequency deriving means that this utility model embodiment provides comprises: acceleration transducer, triggering signal analysis module;
Described acceleration transducer is used for detecting in real time obtaining described user at the acceleration signal of course of action;
Described triggering signal analysis module is electrically connected with described acceleration transducer, is used for according to the acceleration signal of described user at course of action, calculates and obtains at the rate signal over time of acceleration described in the described course of action;
The frequency determination module is electrically connected with described triggering signal analysis module, be used for to calculate in the frequency of rate signal over time of acceleration described in the described course of action, and definite frequency is described motion frequency.
Alternatively, described acceleration transducer is 3-axis acceleration sensor.
Alternatively, described frequency determination module comprises:
The rate of acceleration change analysis module, be electrically connected with described triggering signal analysis module, be used for the characteristics in over time rate signal and described action of acceleration described in the described course of action, determine the zero-time of described action or finishing moment of described action
The id signal sending module is electrically connected with described rate of acceleration change analysis module, the zero-time of determining described action or described action finish moment after, send id signal to computing module in real time, in described id signal, comprise identifier,
It is zero-time or the moment of finishing of described action that described identifier is used for identifying current;
Described computing module is electrically connected with described id signal sending module, is used for determining the frequency of each described triggering signal according to the time of receiving each described id signal.
Alternatively, also comprise:
Memory module stores each described motion frequency information.
Therefore, use the present embodiment technical scheme, to determining of user movement situation, determine with user's motor process frequency, it can react the whole process that user action is initial at least and finish, rather than as prior art, whether finishes the action executing situation that the user is determined in this action at certain time point with the user, can better catch the motion conditions of obtaining the user therefore use this utility model embodiment technical scheme, it is actual that its situation about obtaining is more pressed close to motion.
Especially, in nervus motorius assessment and training system, use this utility model embodiment technical scheme, determine user's action, after catching definite its operating frequency by the operating frequency to the user, can also be by the action frequency domain that catches and the frequency that is used to indicate the reference signal of user's execution action, can accurately determine the difference of deadline and the deadline that reference signal frequency requires of the each action of user by this frequency ratio, after supposing that the user departed from reference signal frequency and wants seeking time (inverse of frequency) in the deadline of certain action, only need to want seeking time accurately to finish next action according to reference signal frequency when next moves gets final product, then finishing of next action will be considered to meet system requirements, and need not because the mistake of a upper action and is carried out this mistake of velocity adaptive in this action.Therefore adopt the present embodiment technical scheme by the frequency of triggering signal corresponding to each action and the comparison of reference signal frequency, the motor reaction situation of judging the user according to this frequency comparative result tallies with the actual situation more, more meets the principle of nervus motorius Coordination Theory.
Description of drawings
Accompanying drawing described herein is used to provide further understanding of the present utility model, consists of the application's a part, does not consist of to improper restriction of the present utility model, in the accompanying drawings:
The schematic flow sheet of a kind of motion frequency acquisition methods that Fig. 1 provides for this utility model embodiment 1;
A kind of motion frequency deriving means structural representation that Fig. 2 provides for this utility model embodiment 2;
A kind of motion frequency deriving means structural representation that Fig. 3 provides for this utility model embodiment 3.
The specific embodiment
Describe this utility model in detail below in conjunction with accompanying drawing and specific embodiment, be used for explaining this utility model in this illustrative examples of the present utility model and explanation, but not as to restriction of the present utility model.
Embodiment 1:
The schematic flow sheet of a kind of motion frequency acquisition methods that Fig. 1 provides for the present embodiment.
Referring to shown in Figure 1, the motion frequency acquisition methods that the present embodiment provides mainly comprises following process step.
Step 101: detect in real time and obtain the acceleration signal of described user in course of action.
In user's execution action process, the sensor sensing user action implementation that can pass through obtains the triggering signal that is triggered by user action.
This sensor can be acceleration transducer in the present embodiment, perhaps high accuracy 3-axis acceleration sensor or other.
Adopt 3-axis acceleration the sensing accurately amplitude, rhythm, orientation, direction etc. of identification maneuver, can be at the acceleration of three-dimensional any one orientation determination user action.
The inventor finds in carrying out this utility model research process, in the present embodiment, can choose acceleration transducer as the sensor of induction user movement direction and motor process situation.Inventor's discovery can obtain reflecting user's course of action more accurate, comprehensively by following technical scheme, concrete technical scheme is as follows:
This acceleration transducer can be bundled in it the user, for example on hand, waist is first-class, by the acceleration signal in the acceleration transducer Real-time Obtaining user execution action process.
If the user is worn over the device that originally comprises 3-axis acceleration sensor on the left waist belt, rate of acceleration change identification by Y-axis and Z axis can judge accurately that left foot and right crus of diaphragm trample the time point on floor (or Target Board) and the acceleration signal of each time point of Real-time Obtaining.
Step 102: according to the acceleration signal of user in course of action, calculate and to obtain in course of action over time rate signal of acceleration.
The acceleration signal of step 101 Real-time Obtaining is passed to a triggering signal analysis module, by this triggering signal analysis module according to user's acceleration signal of (each time point) in course of action, calculative determination is acceleration rate over time in course of action, degree of will speed up over time the rate signal as triggering signal.
For example: after acceleration transducer obtains the acceleration signal of each time point in the user action process, by these acceleration signals are analyzed, obtain acceleration real-time change rate signal in time in course of action.
Step 103: determine in course of action the over time frequency of rate signal of acceleration, will determine that frequency is motion frequency.
Calculate above-mentioned in course of action the frequency of acceleration real-time change rate signal in time, this frequency is the motion frequency of active user's action on carrying out.
The inventor finds in carrying out research process of the present utility model, in each course of action of user, finish moment in action zero-time or motion, its rate of acceleration change can have specific characteristics, thus in the present embodiment can but be not limited to finish initial or the frequency of determining user action of moment is finished in action according to user action.
Moving as example to clap one's hands, when action launching, this acceleration begins to become large by zero, and hits in a flash clapping the hands, and this acceleration generation instantaneous variation produces a backward acceleration.On the curve of rate of acceleration change and time, hit that rate of acceleration change is very precipitous in a flash clapping the hands, therefore according to action feature, the very precipitous part of this variation is finished moment for action on the determination of acceleration temporal evolution rate curve.
Therefore can be at every turn according to acceleration rate signal over time, detect the action finish moment after, send id signal to host computer, comprise identifier in described id signal, identifier is current to be zero-time or the moment of finishing of described action.Host computer receive sign action finish the id signal of moment the time, record this time T of receiving 1, receive next sign action finish the id signal of moment the time, record this time T of receiving 2, the time of then interval T 0 of time T 1 to T2 being finished as user action, and 1/T0 is the frequency of triggering signal.
Use technique scheme, can must determine accurately that zero-time or action that user action is carried out finish moment, perhaps moment is finished in zero-time and action, and the zero-time by any priority two triggering signals or action are finished moment and can be determined the cycle of triggering signal, thereby obtain accurately, comprehensive user action information.
Therefore, use the present embodiment technical scheme, to determining of user movement situation, determine with user's motor process frequency, it can react the whole process that user action is initial at least and finish, rather than as prior art, whether finishes the action executing situation that the user is determined in this action at certain time point with the user, can better catch the motion conditions of obtaining the user therefore use this utility model embodiment technical scheme, it is actual that its situation about obtaining is more pressed close to motion.
Especially, in nervus motorius assessment and training system, use this utility model embodiment technical scheme, determine user's action, after catching definite its operating frequency by the operating frequency to the user, can also be by the action frequency domain that catches and the frequency that is used to indicate the reference signal of user's execution action, can accurately determine the difference of deadline and the deadline that reference signal frequency requires of the each action of user by this frequency ratio, after supposing that the user departed from reference signal frequency and wants seeking time (inverse of frequency) in the deadline of certain action, only need to want seeking time accurately to finish next action according to reference signal frequency when next moves gets final product, then finishing of next action will be considered to meet system requirements, and need not because the mistake of a upper action and is carried out this mistake of velocity adaptive in this action.Therefore adopt the present embodiment technical scheme by the frequency of triggering signal corresponding to each action and the comparison of reference signal frequency, the motor reaction situation of judging the user according to this frequency comparative result tallies with the actual situation more, more meets the principle of nervus motorius Coordination Theory.
In addition, in the present embodiment, behind the frequency information that obtains each time of user action, can also further respectively each time operating frequency information be stored in the system, so that further utilization and analysis are done according to the storage data by system: for example: statistical analysis, perhaps make user's motor reaction situation curve, set up the individual database of user; System can also be according to the variation of user use curve, and the state of user is carried out overall assessment and formulates further training plan or strategy.
Embodiment 2:
A kind of motion frequency deriving means that Fig. 2 provides for the present embodiment.
Referring to shown in Figure 2, this motion frequency deriving means mainly comprises: acceleration transducer 201 users that are electrically connected mutually and triggering signal analysis module 202, frequency determination module 203.
Acceleration transducer 201 is used for detecting in real time obtaining the user at the acceleration signal of course of action.
This acceleration transducer 201 users can but be not limited to 3-axis acceleration sensor 201.Adopt 3-axis acceleration the sensing accurately amplitude, rhythm, orientation, direction etc. of identification maneuver, can be at the acceleration of three-dimensional any one orientation determination user action.
Triggering signal analysis module 202 is used for according to the acceleration signal of user at course of action, and calculate and obtain in course of action over time rate signal of acceleration,
Frequency determination module 203 is electrically connected with triggering signal analysis module 202, calculates in course of action the over time frequency of rate signal of acceleration.Definite frequency be the active user upper one the action motion frequency, this frequency determination module 203 can but be not limited to realize at a single-chip microcomputer.
When implementing, the motion frequency deriving means that this can be comprised 3-axis acceleration sensor 201 users, triggering signal analysis module 202 and frequency determination module 203 is arranged on user's wearable device (this device can for being worn on hand or ring on the waist).
Such as this device is worn on the back of the hand, by the rate of change identification of Z axis acceleration, can judge accurately that palm impacts action acceleration and the time instant in the process of desktop, another palm, shank, chest;
If this device is worn on the left waist belt, rate of acceleration change identification by Y-axis and Z axis, can judge accurately specifically which foot is being trampled, or both feet trample in turn, and obtain left foot and right crus of diaphragm and trample acceleration and moment in the course of action of floor (or Target Board).
Embodiment 3:
A kind of motion frequency deriving means structural representation that Fig. 3 provides for the present embodiment.
As seen from Figure 3,1 difference of the present embodiment and embodiment, the frequency determination module 303 of the present embodiment mainly comprises: rate of acceleration change analysis module 3031, id signal sending module 3032, computing module.Wherein the specific works principle is as follows:
Rate of acceleration change analysis module 3031 is used for the characteristics in over time rate signal and the described action of course of action acceleration, determines the zero-time of action or finishing moment of described action.
Id signal sending module 3032, be electrically connected with rate of acceleration change analysis module 3031, the zero-time of determining described action or described action finish moment after, send id signal to computing module in real time, comprise identifier in id signal, identifier is used for sign: current is zero-time or the moment of finishing of action.
Computing module is electrically connected with id signal sending module 3032, is used for determining the frequency of each described triggering signal according to the time of receiving each described id signal.For example:
Receive sign action finish the id signal of moment the time, record this time T of receiving 1, receive next sign action finish the id signal of moment the time, record this time T of receiving 2, the time of then interval T 0 of time T 1 to T2 being finished as user action, and 1/T0 is the frequency of triggering signal.
Use the present embodiment technical scheme, can use cleverly technical scheme to determine the triggering signal frequency, finish fast frequency discrimination relatively.And guarantee more closing to reality and more reasonable of frequency discrimination result.
In the present embodiment system, can further include: memory module.
In memory module, store the frequency information of each action of user.So that further utilization and analysis are done according to the storage data by system: for example: statistical analysis, perhaps make user's motor reaction situation curve, set up the individual database of user; System can also be according to the variation of user use curve, and the state of user is carried out overall assessment and formulates further training plan or strategy.
Device embodiment described above only is schematic, wherein said module as the separating component explanation can or can not be physically to separate also, the parts that show as module can be or can not be physical modules also, namely can be positioned at a place, perhaps also can be distributed on a plurality of modules.Can select according to the actual needs wherein some or all of module to realize the purpose of the present embodiment scheme.Those of ordinary skills namely can understand and implement in the situation that do not pay performing creative labour.
Through the above description of the embodiments, those skilled in the art can be well understood to each embodiment and can realize by the mode that software adds essential general hardware platform, can certainly pass through hardware.Based on such understanding, the part that technique scheme contributes to prior art in essence in other words can embody with the form of software product, this computer software product can be stored in the computer-readable recording medium, such as ROM/RAM, magnetic disc, CD etc., comprise that some instructions are with so that a computer equipment (can be personal computer, server, perhaps network equipment etc.) carry out the described method of some part of each embodiment or embodiment.
Above-described embodiment does not consist of the restriction to this technical scheme protection domain.Any at above-mentioned embodiment spirit and principle within do modification, be equal to and replace and improvement etc., all should be included within the protection domain of this technical scheme.
Claims (4)
1. a motion frequency deriving means is characterized in that, comprising: acceleration transducer, triggering signal analysis module;
Described acceleration transducer is used for detecting in real time obtaining described user at the acceleration signal of course of action;
Described triggering signal analysis module is electrically connected with described acceleration transducer, is used for according to the acceleration signal of described user at course of action, calculates and obtains at the rate signal over time of acceleration described in the described course of action;
The frequency determination module is electrically connected with described triggering signal analysis module, be used for to calculate in the frequency of rate signal over time of acceleration described in the described course of action, and definite frequency is described motion frequency.
2. a kind of motion frequency deriving means according to claim 1 is characterized in that,
Described acceleration transducer is 3-axis acceleration sensor.
3. a kind of motion frequency deriving means according to claim 1 and 2 is characterized in that, described frequency determination module comprises:
The rate of acceleration change analysis module, be electrically connected with described triggering signal analysis module, be used for the characteristics in over time rate signal and described action of acceleration described in the described course of action, determine the zero-time of described action or finishing moment of described action
The id signal sending module is electrically connected with described rate of acceleration change analysis module, the zero-time of determining described action or described action finish moment after, send id signal to computing module in real time, in described id signal, comprise identifier,
It is zero-time or the moment of finishing of described action that described identifier is used for identifying current;
Described computing module is electrically connected with described id signal sending module, is used for determining the frequency of each described triggering signal according to the time of receiving each described id signal.
4. a kind of motion frequency deriving means according to claim 1 and 2 is characterized in that, also comprises:
Memory module stores each described motion frequency information.
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| CN 201220244206 CN202875338U (en) | 2012-05-29 | 2012-05-29 | Motion frequency obtaining device |
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| CN 201220244206 CN202875338U (en) | 2012-05-29 | 2012-05-29 | Motion frequency obtaining device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104457751A (en) * | 2014-11-19 | 2015-03-25 | 中国科学院计算技术研究所 | Method and system for recognizing indoor and outdoor scenes |
| CN104886789A (en) * | 2015-06-29 | 2015-09-09 | 京东方科技集团股份有限公司 | Wrap structure |
| CN108452480A (en) * | 2018-04-11 | 2018-08-28 | 杭州启望科技有限公司 | The detection method and device of running posture on a kind of treadmill and treadmill |
| CN114692691A (en) * | 2022-03-31 | 2022-07-01 | 维沃移动通信有限公司 | Motion state identification method and device, electronic equipment and storage medium |
-
2012
- 2012-05-29 CN CN 201220244206 patent/CN202875338U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104457751A (en) * | 2014-11-19 | 2015-03-25 | 中国科学院计算技术研究所 | Method and system for recognizing indoor and outdoor scenes |
| CN104457751B (en) * | 2014-11-19 | 2017-10-10 | 中国科学院计算技术研究所 | Indoor and outdoor scene recognition method and system |
| CN104886789A (en) * | 2015-06-29 | 2015-09-09 | 京东方科技集团股份有限公司 | Wrap structure |
| CN108452480A (en) * | 2018-04-11 | 2018-08-28 | 杭州启望科技有限公司 | The detection method and device of running posture on a kind of treadmill and treadmill |
| CN114692691A (en) * | 2022-03-31 | 2022-07-01 | 维沃移动通信有限公司 | Motion state identification method and device, electronic equipment and storage medium |
| CN114692691B (en) * | 2022-03-31 | 2025-05-06 | 维沃移动通信有限公司 | Motion state recognition method, device, electronic device and storage medium |
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