CN116779102A - Training method for autism children based on image and limb combination analysis treatment - Google Patents
Training method for autism children based on image and limb combination analysis treatment Download PDFInfo
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Abstract
The invention relates to the technical field of intervention training of autism children, in particular to a training method of autism children based on image and limb combination analysis treatment. The system comprises a data acquisition unit, an analysis processing unit and an evaluation analysis unit, wherein the data acquisition unit is used for acquiring physical actions, voices and physical data of children, the analysis processing unit is used for processing the data acquired by the data acquisition unit, the analysis processing unit is used for transmitting the matched autism state of the children to the evaluation analysis unit, and the evaluation analysis unit is used for analyzing the state and the capacity of the children according to the autism state of the children. According to the invention, the analysis processing unit is arranged to extract the characteristics and match the states of the acquired data of the children, and in the matching process, the data acquisition unit is fed back to improve the accuracy of the characteristic matching of the analysis processing unit, and the analysis is carried out by the evaluation analysis unit, so that the scheme making unit can make a corresponding scheme according to the result evaluated by the evaluation analysis unit.
Description
Technical Field
The invention relates to the technical field of intervention training of autism children, in particular to a training method of autism children based on image and limb combination analysis treatment.
Background
There are many challenges and problems in the current autistic childhood assessment and intervention process. Conventional evaluation methods generally rely on subjective observation, questionnaires and small sample tests, which may lead to unilaterality and inaccuracy of evaluation results, and are mostly personal experiences of doctors when determining the disease of children, and the result of the judgment is too unilateral when determining the disease of children, and meanwhile, conventional intervention schemes are generally generalized, lack of individuation and pertinence, cannot meet specific requirements and capability differences of each child, and reduce training effects on children and slow recovery speed of children through the generalized intervention methods, so that a system capable of assisting doctors in accurately determining the disease of children is needed to determine the disease of children, and intervention schemes corresponding to the disease of children are made.
Disclosure of Invention
The invention aims to provide a training method for autism children based on image and limb combination analysis treatment, so as to solve the problems in the background technology.
To achieve the above object, the present invention provides a training method for autism children based on image and limb combination analysis treatment, comprising the steps of:
s1, acquiring body actions, voices and body data of a child by adopting a data acquisition unit, and transmitting the acquired data to an analysis processing unit after acquiring;
s2, the analysis processing unit processes the data acquired by the data acquisition unit, extracts the characteristics in the data transmitted by the data acquisition unit, and matches the child' S autism state according to the extracted characteristics;
s3, transmitting the matched child ' S autism state to an evaluation and analysis unit by an analysis and analysis unit, analyzing the child ' S state and capacity according to the child ' S autism state, and transmitting the analysis result to a scheme making unit;
s4, the scheme making unit stores the analysis processing unit child 'S autism state and the analysis result of the analysis unit on child' S state and ability, meanwhile, the scheme making unit receives data of other child disease states transmitted by the user end, extracts corresponding data from the scheme making unit according to the analysis result of the analysis unit, and makes corresponding scheme for the extracted content.
As a further improvement of the technical scheme, after the characteristics in the data transmitted by the data acquisition unit are extracted, the analysis processing unit compares the extracted characteristics with the data information of the related characteristics stored in the scheme making unit, and feeds back the data to the data acquisition unit after the characteristics are compared, so that the data acquisition unit acquires the compared characteristic data again.
As a further improvement of the technical scheme, the analysis processing unit comprises a data feature extraction module and a state matching module;
the data characteristic extraction module is used for receiving the data acquired by the data acquisition unit, correspondingly processing the data, extracting characteristic data about autism symptoms in the data, and extracting the autism characteristics in the acquired data about children so as to facilitate the system to acquire the autism characteristics of the children, thereby being convenient for judging whether the children have the autism or not;
the state matching module is used for receiving the characteristic data extracted by the data characteristic extraction module, matching the child's autism state according to the characteristic data, and obtaining the child's autism state corresponding to the characteristic data extracted by the data characteristic extraction module, so that each characteristic data of the child corresponds to one autism state, and the evaluation analysis unit can judge the child's autism according to the autism states corresponding to the characteristic data.
As a further improvement of the technical scheme, the analysis processing unit further comprises a feature comparison module and a data check extraction module;
the characteristic comparison module receives the characteristic data extracted by the data characteristic extraction module;
the data checking and extracting module feeds back the characteristic data received by the characteristic comparison module to the data acquisition unit, so that the data acquisition unit can acquire the data of the corresponding characteristic data of the child again and transmit the acquired data to the characteristic comparison module;
the characteristic comparison module receives the characteristic data about autism stored in the scheme making unit, compares the data transmitted by the data acquisition unit with the received characteristic data and the data about characteristic data stored in the scheme making unit, and feeds back the data to the state matching module after the data are compared;
when the result of the feature comparison module is the same as the result of the state matching module, the state matching module transmits the matched state condition to the evaluation analysis unit, and when the result of the feature comparison module is different from the result of the state matching module, the state matching module transmits the feature data with the different result to the data checking and extracting module, and the data checking and extracting module feeds back the feature data to the data acquisition unit;
the data is fed back to the data acquisition unit through the data checking and extracting module, so that the data acquisition unit can continuously acquire the data of the child, and the accuracy of data acquisition of the child is improved.
As a further improvement of the technical scheme, the evaluation analysis unit comprises a state analysis module and a capability evaluation module;
the state analysis module is used for receiving the data of the child autism state transmitted by the state matching module, integrating the data of the transmitted child autism state, integrating the data of the child autism state of the same item, analyzing the integrated child state after integration, and determining the child autism;
the capacity evaluation module receives integrated data related to the child's autism state, and judges and evaluates the capacity of the child according to the data, wherein the capacity of the child is judged to comprise development capacity, behavior capacity, social capacity and learning capacity, and the capacity of the child corresponding to the current state is determined by evaluating the capacity of the child in multiple aspects, so that the child can be trained correspondingly according to the current capacity of the child.
As a further improvement of the technical scheme, the scheme making unit comprises an interactive data receiving module and a data organizing module;
the interactive data receiving module is used for receiving data transmitted by other using ports and transmitting the received data to the data storage module;
the data storage module is used for storing the data transmitted by the interactive data receiving module, and the data matched with the characteristic data are extracted from the data storage module by the state matching module when the state matching module matches the child's autism state; the data of the related characteristic data stored in the scheme making unit for comparing the characteristic comparison module is extracted from the characteristic comparison module to the data storage module;
the data stored by the data storage module is transmitted to the interactive data receiving module, and the interactive data receiving module transmits the data to other ports, so that the data of the autism children are shared, and the system can quickly respond when the conditions occur to the other ports.
As a further improvement of the technical scheme, the scheme making unit further comprises a data extraction module and a scheme making module;
the data extraction module receives the data of the capacity of the child, which is judged and evaluated by the capacity evaluation module, and extracts corresponding training data of the capacity of the child corresponding to the data storage module according to the evaluation result;
the scheme making module receives the data extracted from the data storage module by the data extraction module, analyzes the data according to the extracted data, obtains the training sequence of the children, and makes a training scheme according to the training sequence.
As a further improvement of the technical scheme, the scheme making unit further comprises a data organization module;
the data organization module receives the data transmitted by the interactive data receiving module, removes useless data after the useless data are received, transmits the data to the data storage module for storage after the useless data are removed, and simultaneously, the data organization module sorts the data stored in the data storage module and updates the data stored in the data storage module so as to ensure the accuracy of the data stored in the data storage module.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the training method for the autism children based on the image and limb combination analysis treatment, the analysis processing unit is arranged to extract the characteristics and match the states of the acquired data of the children, and in the matching process, feedback is carried out to the data acquisition unit, so that the accuracy of the characteristic matching of the analysis processing unit is improved, the capability assessment condition of the children is obtained through the analysis of the assessment analysis unit, the scheme making unit can make corresponding scheme making according to the assessment result of the assessment analysis unit, so that the system can make corresponding intervention scheme according to the disease condition of the children, the intervention scheme can be matched with the condition of the children, and the training effect of the children is improved.
2. According to the training method for the autism children based on the image and limb combination analysis treatment, the scheme making unit is used for obtaining external data to update the data, and when the analysis processing unit is used for matching the states of the children, the analysis processing unit is used for obtaining the data from the scheme making unit, so that the accuracy of the state matching of the analysis processing unit is improved, meanwhile, the scheme making unit is used for making a scheme for updating the data, the comprehensiveness of scheme making is achieved, the one-sided judgment of doctors is avoided, and the accuracy of judging the diseases of the children is improved.
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FIG. 1 is an overall block diagram of embodiment 1 of the present invention;
FIG. 2 is a schematic block diagram of an analysis processing unit according to embodiment 1 of the present invention;
FIG. 3 is a schematic block diagram of an evaluation analysis unit according to embodiment 1 of the present invention;
fig. 4 is a schematic block diagram of a scheme making unit of embodiment 1 of the present invention.
The meaning of each reference sign in the figure is:
1. a data acquisition unit; 2. an analysis processing unit; 21. a data feature extraction module; 22. a feature comparison module; 23. a state matching module; 24. a data checking and extracting module; 3. an evaluation analysis unit; 31. a state analysis module; 32. a capability assessment module; 4. a scheme making unit; 41. the interactive data receiving module; 42. a data organization module; 43. a data storage module; 44. a data extraction module; 45. and a scheme making module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: there are many challenges and problems in the current autistic childhood assessment and intervention process. Traditional evaluation methods generally rely on subjective observation, questionnaires and small sample tests, which can lead to unilaterality and inaccuracy of evaluation results, meanwhile, most of the methods are personal experiences of doctors when determining diseases of children, and the judgment results are too unilateral when determining the diseases of children, meanwhile, traditional intervention schemes are generally generalized, lack of individuation and pertinence, cannot meet specific requirements and capability differences of each child, and the training effect on the children is reduced and the recovery speed of the children is slowed down through the generalized intervention method.
The main reason for the above problems is that the conventional methods often face the following difficulties due to limitations in data collection, evaluation and intervention scheme formulation:
data acquisition unit 1 data acquisition difficulty: the collection of data in the traditional evaluation method is generally limited by the cooperation degree and environmental conditions of the subjects, and diversified data cannot be comprehensively and accurately obtained;
analysis processing unit 2 data analysis complexity: the data analysis process in the traditional method is complex and time-consuming, and requires professional personnel to process and read the data, so that the real-time performance and operability of the data are limited;
evaluation analysis unit 3 personalized intervention difficulty: the establishment of a personalized intervention scheme based on the ability status of each child requires consideration of a large amount of data and complex pattern recognition, and corresponding and personalized intervention cannot be achieved when the intervention scheme is established.
In order to perform personalized intervention on a child and assist a doctor in accurately judging, the invention provides a training method for autism children based on image and limb combination analysis treatment, referring to fig. 1-4, comprising the following steps:
s1, acquiring body actions, voices and body data of a child by adopting a data acquisition unit 1, and transmitting the acquired data to an analysis processing unit 2 after acquiring;
the specific information acquired by the data acquisition unit 1 comprises:
a. video recording: recording the behavior of the child by using the camera equipment, and extracting key actions and expression features by using a video processing algorithm;
b. and (3) sound analysis: collecting the voice and sound of the child by utilizing a microphone, and analyzing language capability and emotion expression by utilizing sound processing and voice recognition technology;
c. a biosensor: acquiring physiological indexes of the child, such as heart rate, skin conductance and the like, for assessing emotional states and autonomic nerve functions by using a biosensor, such as a heart rate monitor, a skin conductance sensor and the like;
d. brain wave detector: the brain wave detector is integrated, and is used for recording brain electrical activity of the child and evaluating cognition, attention and various nerve function states of the child;
by acquiring multiple aspects of data of the body of the child, the child condition can be accurately known, so that the child can be accurately intervened according to the information acquired by the data acquisition unit 1;
s2, the analysis processing unit 2 processes the data acquired by the data acquisition unit 1, extracts the characteristics in the data transmitted by the data acquisition unit 1, and matches the autism state of the child according to the extracted characteristics;
s3, the analysis processing unit 2 transmits the matched child ' S autism state to the evaluation analysis unit 3, the evaluation analysis unit 3 analyzes the child ' S state and capacity according to the child ' S autism state, and the analysis result is transmitted to the scheme making unit 4;
s4, the scheme making unit 4 stores the autism state of the child of the analysis processing unit 2 and the analysis result of the state and the capacity of the child by the evaluation analysis unit 3, meanwhile, the scheme making unit 4 receives data of the child disease states transmitted by other user ends, extracts corresponding data from the scheme making unit 4 according to the analysis result of the evaluation analysis unit 3, and makes corresponding scheme for the extracted content.
After extracting the characteristics in the data transmitted by the data acquisition unit 1, the analysis processing unit 2 compares the extracted characteristics with the data information of the related characteristics stored in the scheme making unit 4, and feeds back to the data acquisition unit 1 after the characteristics are compared, so that the data acquisition unit 1 acquires the compared characteristic data again.
The analysis processing unit 2 comprises a data feature extraction module 21 and a state matching module 23;
the data feature extraction module 21 is configured to receive the data collected by the data collection unit 1, perform corresponding processing on the data, extract feature data about autism in the data, and extract the autism feature in the collected data about children, so that the system can obtain the autism feature of the children, so as to be convenient for judging whether the children have the autism;
the state matching module 23 is configured to receive the feature data extracted by the data feature extraction module 21, and match the autism state of the child according to the feature data, obtain the autism state of the child corresponding to the feature data extracted by the data feature extraction module 21, and enable each feature data of the child to correspond to one autism state, so that the evaluation analysis unit 3 can determine the autism state of the child according to the autism states corresponding to the feature data.
The analysis processing unit 2 further includes a feature comparison module 22 and a data collation extraction module 24;
the feature comparison module 22 receives the feature data extracted by the data feature extraction module 21;
the data checking and extracting module 24 feeds back the characteristic data received by the characteristic comparison module 22 to the data acquisition unit 1, so that the data acquisition unit 1 re-acquires the data of the corresponding characteristic data of the child and transmits the acquired data to the characteristic comparison module 22;
the characteristic comparison module 22 receives the characteristic data about autism stored in the scheme making unit 4, compares the data transmitted by the data acquisition unit 1 with the received characteristic data and the data about the characteristic data stored in the scheme making unit 4, and feeds back to the state matching module 23 after the comparison;
when the result of the comparison of the feature comparison module 22 is the same as the result of the matching of the state matching module 23, the state matching module 23 transmits the matched state condition to the evaluation analysis unit 3, and when the result of the comparison of the feature comparison module 22 is different from the result of the matching of the state matching module 23, the state matching module 23 transmits the feature data with the different result matching to the data checking and extracting module 24, and the data checking and extracting module 24 feeds back the feature data to the data acquisition unit 1;
the data is fed back to the data acquisition unit 1 through the data checking and extracting module 24, so that the data acquisition unit 1 can continuously acquire the data of the child, and the accuracy of data acquisition of the child is improved.
The evaluation analysis unit 3 includes a state analysis module 31 and a capability evaluation module 32;
the state analysis module 31 is configured to receive the data of the child autism state transmitted from the state matching module 23, integrate the data of the transmitted multiple child autism states, integrate the data of the multiple child autism states that are the same item, and analyze the integrated child states after integration to determine that the child has autism;
the ability assessment module 32 receives the integrated data about the child's autism status, and performs a judgment assessment on the child's ability according to the data, where the judgment on the child's ability includes developing ability, behavioral ability, social ability and learning ability, and determines the ability of the child corresponding to the present situation by assessing the ability of the child in multiple aspects, so as to perform corresponding training on the child according to the ability of the present child.
The scheme making unit 4 includes an interactive data receiving module 41 and a data organizing module 42;
the interactive data receiving module 41 is configured to receive data transmitted from other ports and transmit the received data to the data storage module 43;
the data storage module 43 is configured to store the data transmitted from the interactive data receiving module 41, and meanwhile, when the state matching module 23 matches the child's autism state, the data matched with the feature data is extracted from the state matching module 23 to the data storage module 43; the data of the related feature data stored in the scheme making unit 4 for the feature comparison module 22 is extracted by the feature comparison module 22 into the data storage module 43;
the data stored by the data storage module 43 is transmitted to the interactive data receiving module 41, and the interactive data receiving module 41 transmits the data to other ports, so that the data of the autism children are shared, and the system can quickly respond when the conditions occur to the other ports;
meanwhile, the data storage module 43 also stores data such as actions, languages, habits and the like of the autism children, stores intervention schemes for the autism children, and classifies the situations of different intervention schemes at the same time, so that when new intervention schemes are formulated later, extraction of corresponding intervention schemes can be performed according to the disease conditions of the children, and the formulation effect of personalized intervention schemes for the children is achieved.
The scheme formulation unit 4 further includes a data extraction module 44 and a scheme formulation module 45;
the data extraction module 44 receives the data of the ability of the child estimated by the ability estimation module 32, and extracts corresponding training data of the corresponding child ability in the data storage module 43 according to the estimated result;
the scheme making module 45 receives the data extracted from the data storage module 43 by the data extracting module 44, analyzes the data according to the extracted data, obtains the training sequence of the children, and makes a training scheme according to the training sequence, wherein the scheme comprises the contents of cognitive training, social skill training, behavior management and the like.
The scenario-making unit 4 further comprises a data organization module 42;
the data organization module 42 receives the data transmitted from the interactive data receiving module 41, removes useless data after the data is received, and transmits the data to the data storage module 43 for storage after the useless data is removed, and meanwhile, the data organization module 42 sorts the data stored in the data storage module 43 and updates the data stored in the data storage module 43, so that the accuracy of the data stored in the data storage module 43 is ensured.
The specific use flow is as follows:
the data acquisition unit 1 acquires data of all aspects of children, the acquired data are transmitted to the data feature extraction module 21, the data feature extraction module 21 extracts features, the extracted features are respectively transmitted to the feature comparison module 22 and the state matching module 23, after the state matching module 23 receives the features, the state matching module 23 matches the autism state of the children according to the feature data, after the feature comparison module 22 receives the feature data, the received feature data are transmitted to the data check extraction module 24, the data check extraction module 24 feeds back to the data acquisition unit 1, the data acquired by the data acquisition unit 1 re-acquire the acquired data corresponding to the extracted feature data, the feature comparison module 22 receives the feature data about autism stored in the scheme formulation unit 4, and after the comparison, the data transmitted by the data acquisition unit 1 and the data about the feature data stored in the scheme formulation unit 4 are compared, and feedback is carried out to the state matching module 23;
when the result of the feature comparison module 22 is the same as the result of the matching by the state matching module 23, the state matching module 23 transmits the matched state condition to the evaluation analysis unit 3, the state analysis module 31 receives the data transmitted by the state matching module 23, integrates the transmitted data of a plurality of child orphaned state conditions, and the capability evaluation module 32 performs capability evaluation according to the integrated data of the state analysis module 31, and the evaluated result is stored in the data storage module 43;
the data extraction module 44 receives the data of the capacity of the child, which is evaluated by the capacity evaluation module 32, and extracts the corresponding training data of the capacity of the child in the data storage module 43 according to the evaluation result, and the scheme formulation module 45 receives the data extracted from the data storage module 43 by the data extraction module 44, analyzes the data according to the extracted data, acquires the training sequence of the child, and formulates the training scheme according to the training sequence, so that the formulated scheme has the effect of aiming at the child disease, thereby achieving the formulability of intervention of the child and accelerating the recovery of the child disease.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The training method for autism children based on image and limb combination analysis treatment is characterized by comprising the following steps of: the method comprises the following steps:
s1, acquiring body actions, voices and body data of children by adopting a data acquisition unit (1), and transmitting the acquired data to an analysis processing unit (2) after acquiring;
s2, processing the data acquired by the data acquisition unit (1) by the analysis processing unit (2), extracting features in the data transmitted by the data acquisition unit (1), and matching the autism state of the child according to the extracted features;
s3, the analysis processing unit (2) transmits the matched child ' S autism state to the evaluation analysis unit (3), the evaluation analysis unit (3) analyzes the child ' S state and capacity according to the child ' S autism state, and the analysis result is transmitted to the scheme making unit (4);
s4, the scheme making unit (4) stores the analysis processing unit (2) on the child 'S autism state and the analysis result of the evaluation analysis unit (3) on the child' S state and capacity, meanwhile, the scheme making unit (4) receives data of the child disease state transmitted by other user ends, and meanwhile, corresponding data are extracted from the scheme making unit (4) according to the analysis result of the evaluation analysis unit (3), and corresponding scheme making is carried out on the extracted content.
2. The method of training an autistic child based on image and limb combination analysis therapy of claim 1, wherein: after extracting the characteristics in the data transmitted by the data acquisition unit (1), the analysis processing unit (2) compares the extracted characteristics with the data information of the related characteristics stored in the scheme making unit (4), and feeds back the data to the data acquisition unit (1) after the characteristics are compared, so that the data acquisition unit (1) acquires the compared characteristic data again.
3. The method of training an autistic child based on image and limb combination analysis therapy of claim 1, wherein: the analysis processing unit (2) comprises a data characteristic extraction module (21) and a state matching module (23);
the data characteristic extraction module (21) is used for receiving the data acquired by the data acquisition unit (1), carrying out corresponding processing on the data, and extracting characteristic data about autism symptoms in the data;
the state matching module (23) is used for receiving the characteristic data extracted by the data characteristic extraction module (21), matching the child autism state according to the characteristic data, and obtaining the child autism state condition corresponding to the characteristic data extracted by the data characteristic extraction module (21).
4. A method of training an autistic child based on image and limb combination analysis therapy according to claim 3, wherein: the analysis processing unit (2) further comprises a feature comparison module (22) and a data check extraction module (24);
the feature comparison module (22) receives the feature data extracted by the data feature extraction module (21);
the data checking and extracting module (24) feeds back the characteristic data received by the characteristic comparison module (22) to the data acquisition unit (1), so that the data acquisition unit (1) re-acquires the data of the corresponding characteristic data of the child and transmits the acquired data to the characteristic comparison module (22);
the characteristic comparison module (22) receives the characteristic data about autism stored in the scheme making unit (4), compares the data transmitted by the data acquisition unit (1) with the received characteristic data and the data about characteristic data stored in the scheme making unit (4), and feeds back to the state matching module (23) after the comparison.
5. The method for training an autistic child based on image and limb combination analysis therapy of claim 4, wherein: the evaluation analysis unit (3) comprises a state analysis module (31) and a capability evaluation module (32);
the state analysis module (31) is used for receiving the data of the child autism state transmitted by the state matching module (23), integrating the data of the transmitted child autism state, integrating the data of the same child autism state, and after integration, analyzing the integrated child state to determine the child autism;
the ability evaluation module (32) receives the integrated data about the child's autism status, and performs judgment and evaluation on the child's ability according to the data.
6. The method of training an autistic child based on image and limb combination analysis therapy of claim 5, wherein: the scheme making unit (4) comprises an interactive data receiving module (41) and a data organizing module (42);
the interactive data receiving module (41) is used for receiving data transmitted by other using ports and transmitting the received data to the data storage module (43);
the data storage module (43) is used for storing the data transmitted by the interactive data receiving module (41), and the data matched with the characteristic data are extracted from the data storage module (43) by the state matching module (23) when the state matching module (23) matches the autism state of the child; the data of the related characteristic data stored in the scheme making unit (4) for comparing the characteristic comparison module (22) is extracted from the characteristic comparison module (22) to the data storage module (43);
the data stored by the data storage module (43) is transmitted to the interactive data receiving module (41), and the interactive data receiving module (41) transmits the data to other ports.
7. The method of training an autistic child based on image and limb combination analysis therapy of claim 6, wherein: the scheme making unit (4) further comprises a data extraction module (44) and a scheme making module (45);
the data extraction module (44) receives the data of the capacity of the child, which is judged and evaluated by the capacity evaluation module (32), and extracts corresponding training data of the capacity of the child corresponding to the data in the data storage module (43) according to the evaluation result;
the scheme making module (45) receives the data extracted from the data storage module (43) by the data extraction module (44), analyzes the data according to the extracted data, obtains the training sequence of the children, and makes a training scheme according to the training sequence.
8. The method of training an autistic child based on image and limb combination analysis therapy of claim 6, wherein: the scheme making unit (4) further comprises a data organization module (42);
the data organization module (42) receives the data transmitted by the interactive data receiving module (41), removes useless data after receiving the data, transmits the data to the data storage module (43) for storage after removing the useless data, and meanwhile, the data organization module (42) sorts the data stored in the data storage module (43) and updates the data stored in the data storage module (43).
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| CN119073992A (en) * | 2024-08-28 | 2024-12-06 | 深圳市复米健康科技有限公司 | An analytical method for assisting diagnosis and treatment of children with autism |
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