Alzheimer's disease adjuvant therapy system and electronic equipment

Abstract

The invention discloses an auxiliary treatment system for Alzheimer's disease and electronic equipment, and relates to the technical field of intelligent medical treatment. The specific implementation mode comprises a data analysis device for analyzing the distribution condition of people and / or objects in a life scene based on image data; analyzing a sound source and / or sound content based on the sound data of the life scene; analyzing behavior actions of the target object based on the motion behavior data of the target object; analyzing the current daily work and rest condition of the target object based on the physiological data of the target object; the training device is used for judging the current dysfunction type of the target object based on the distribution condition of the human and / or the object, the sound source and / or the sound content and the cognitive behavior action, and carrying out corresponding training on the target object; and based on the current living work and rest condition of the target object, judging the current living work and rest abnormal type of the target object, and prompting the target object to carry out the corresponding living work and rest activity. According to the scheme, the interestingness and flexibility of training are improved.

Description

Technical Field

[0001] This application relates to the field of computer technology, specifically to the field of smart healthcare technology, and in particular to assistive treatment systems and electronic devices for Alzheimer's disease. Background Technology

[0002] Current medical treatments for Alzheimer's disease often struggle to accurately diagnose the condition in its early stages. While early diagnosis typically involves cognitive training and lifestyle interventions, cognitive training requires professional guidance and lacks engagement, making it difficult to maintain long-term. Lifestyle interventions also struggle to motivate patients and are difficult to adhere to consistently, leading to treatment non-compliance, poor outcomes, and accelerated disease progression. Therefore, a system is needed that can replace professional guidance and tailor treatment plans to each patient's specific situation to achieve alleviating symptoms of Alzheimer's disease. Summary of the Invention

[0003] To address the technical problems of poor engagement and low treatment effectiveness in the early treatment of Alzheimer's disease in existing technologies, an auxiliary treatment system and electronic device for Alzheimer's disease are provided.

[0004] According to the first aspect, an adjunctive treatment system for Alzheimer's disease is provided, comprising: A data acquisition device is used to acquire image data of the scene environment in which the target object is located, sound data of the scene, motion behavior data of the target object, and physiological data of the target object; A data analysis device is used to analyze the distribution of people and / or objects in the life scene based on the image data; to analyze the sound source and / or sound content based on the sound data of the life scene; to analyze the behavior of the target object based on the motion behavior data of the target object; and to analyze the current daily routine of the target object based on the physiological data of the target object. The training device is used to determine the type of functional impairment currently existing in the target object based on the distribution of the person and / or object, the sound source and / or sound content, and the cognitive behavior, and to provide corresponding training to the target object based on the determined type of functional impairment; it is also used to determine the type of abnormal daily routine currently existing in the target object based on the target object's current daily routine, and to prompt the target object to perform corresponding daily routine activities based on the determined type of abnormal daily routine.

[0005] According to a second aspect, an electronic device is provided, comprising: a system according to any embodiment of the above-described assistive treatment system for Alzheimer's disease.

[0006] According to the solution of this application, a method is proposed to collect image data of the scene environment, sound data of the scene, motion behavior data of the target object, and physiological data of the target object based on the life scene in which the target object is located. Based on the image data, the distribution of people and / or objects in the life scene is analyzed; based on the sound data of the life scene, the sound source and / or sound content is analyzed; based on the motion behavior data of the target object, the behavioral actions of the target object are analyzed; based on the physiological data of the target object, the current daily routine of the target object is analyzed; then, based on the distribution of people and / or objects, the sound source and / or sound content, and the cognitive behavioral actions, the type of functional impairment currently existing in the target object is determined, and corresponding training is performed on the target object according to the determined type of functional impairment; based on the current daily routine of the target object, the type of abnormal daily routine of the target object is determined, and the target object is prompted to perform corresponding daily routine activities according to the determined type of abnormal daily routine. This approach integrates Alzheimer's disease adjunctive therapy into everyday life scenarios, allowing patients to undergo automated and intelligent data collection and related functional impairment training within a conscious, everyday environment. Compared to training under the guidance of medical rehabilitation professionals, this method is more conducive to the target population's acceptance and adherence to training, thereby improving the effectiveness of training and treatment. Furthermore, the training process is conducted within everyday life scenarios, providing timely and immediate training tailored to the current type of functional impairment or lifestyle abnormalities. This allows for training anytime, anywhere. The different objects and events in different life scenarios enable the identification of different functional impairments for targeted training. The training process is also linked to life-related objects or events, increasing the fun and flexibility of the training, further encouraging the target population to accept and adhere to training, and improving the effectiveness of training and treatment. Attached Figure Description

[0007] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of one embodiment of the assistive treatment system for Alzheimer's disease according to this application. Detailed Implementation

[0008] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0009] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0010] refer to Figure 1 This diagram 100 illustrates a structural schematic of one embodiment of the assistive treatment system for Alzheimer's disease according to this application. The assistive treatment system for Alzheimer's disease includes: The data acquisition device 101 is used to acquire image data of the scene environment in which the target object is located, sound data of the scene, motion behavior data of the target object, and physiological data of the target object; Data analysis device 102 is used to analyze the distribution of people and / or objects in the life scene based on the image data; to analyze the sound source and / or sound content based on the sound data of the life scene; to analyze the behavior of the target object based on the motion behavior data of the target object; and to analyze the current daily routine of the target object based on the physiological data of the target object. The training device 103 is used to determine the type of functional impairment currently existing in the target object based on the distribution of the people and / or objects, the sound source and / or sound content, and the cognitive behavior, and to conduct corresponding training on the target object according to the determined type of functional impairment; it is also used to determine the type of abnormal daily routine currently existing in the target object based on the target object's current daily routine, and to prompt the target object to perform corresponding daily routine activities according to the determined type of abnormal daily routine.

[0011] In some optional implementations of this embodiment, to further collect data in a non-intrusive manner and avoid causing rejection by the target object, the data acquisition device may include a wearable device for collecting the physiological data and an AI glasses device with the same shape as glasses. The AI ​​glasses device is used to collect the image data, the sound data, and the motion behavior data. For example, the wearable device may be a smart bracelet, etc.

[0012] In practice, after collecting data, each device in the data acquisition device can transmit the collected data to the data analysis device via wireless or wired data transmission, or upload it to the data analysis device via the Internet.

[0013] In some optional implementations of this embodiment, in order to provide data basis for accurately determining the type of functional defects currently existing in the target object, a method for analyzing different and comprehensive scene layout features, behavioral features, or daily routines based on various types of collected data is proposed. For example, The data analysis device includes: The first analysis unit is used to analyze the gaze position, pupil changes, and eye tremor information of the target object if the motion behavior data includes eye movement data; and to analyze the limb movements and / or mouth opening movements of the target object if the motion behavior data includes limb data. The second analysis unit is used to analyze the current mood state of the target object based on the heart rate data in the target object's physiological data; to analyze the sleep status of the target object based on the sleep-related data in the target object's physiological data; and to analyze the movement status of the target object based on the movement-related data in the target object's physiological data.

[0014] In practice, the distribution of people and / or objects in the life scene can be determined by analyzing image data such as pictures and videos of the life scene, identifying the people or objects present in the scene and their location information. For example, the life scene may contain an apple, a table, young person 1, and young person 2. The analysis process of the distribution of people and / or objects in this life scene can be implemented using a trained model A.

[0015] In practice, the sound source and / or sound content can be determined by analyzing sound data from a real-life scenario to identify whether the sound source is an object (such as a knocking sound) or a person speaking (such as the voice of a target or relative), and the sound content can be determined by analyzing the content of each person's speech. This analysis process of the sound source and / or sound content can be implemented using a trained model B.

[0016] In practice, the target object's gaze position, pupil changes, and eye movement information can be derived from eye-tracking data analysis. For example, by analyzing uploaded eye-tracking data, calibration information of the target object wearing AI glasses can be obtained, and calibrated data can be sent to the AI ​​glasses to improve the accuracy of the eye-tracking data collected by the AI ​​glasses. After ensuring the accuracy of the eye-tracking data, eye-tracking data can be collected. Then, based on the correct eye-tracking data, the target object's gaze position (i.e., the position of the eye's focus) can be analyzed. By determining the consistency or overlap between the gaze position and the positional information of people and / or objects in the live scene, it can be determined that the target object is looking at a person or object.

[0017] For example, when the target is observing a person or object in a life scene, eye-tracking data can be used to analyze whether the target is affected by light intensity and whether there are pupil changes, and the pupil changes of the target can be collected and analyzed.

[0018] For example, when a target is observing a person or object in a life scene, eye movement data can be used to analyze whether the target is experiencing eye tremors, and eye tremor information can be collected and analyzed.

[0019] In practice, the process of analyzing the gaze position, pupil changes, and eye tremor information of the target object can be achieved through the trained model C.

[0020] In practice, limb data (such as motion image data, skeletal motion data of joints, limbs, or mouth, such as speed and distance) can be used to analyze the limb movements and / or mouth opening actions performed by the target object, such as opening the mouth, kicking, reaching out, and grasping. This process of analyzing the limb movements and / or mouth opening actions of the target object can be achieved through a trained model D.

[0021] In specific implementation, based on the heart rate data in the target object's physiological data, the target object's current mood state is analyzed; for example, a rapid change in heart rate indicates a state of tension or excitement. Based on sleep-related data in the target object's physiological data, the target object's sleep patterns are analyzed; for example, based on the time or duration of sleep detected by a smart bracelet, the target object's sleep time and duration are analyzed. Based on movement-related data in the target object's physiological data, the target object's movement patterns are analyzed; for example, based on the time or duration of movement detected by a smart bracelet, sedentary time and duration, etc., the target object's movement time and duration are analyzed. This process of analyzing the target object's mood state, sleep patterns, and movement patterns can be implemented using a trained model E.

[0022] In some optional implementations of this embodiment, in order to accurately and effectively determine the type of functional defect currently existing in the target object, a specific determination method is proposed. For example, the training device includes: The first judgment unit is used to determine whether the speech content of the target object is logical if the sound source is the target object. If not, it is determined that the target object currently has cognitive impairment. For example, when the life scene does not change and the sound source is only the target object, if the sound content is illogical or self-talk, it can usually be judged as a symptom of Alzheimer's disease, mainly a manifestation of cognitive decline (i.e. cognitive impairment) and brain damage.

[0023] If, based on the location information of the target object's gaze position and the distribution of people and / or objects in the life scene, it is determined that the target object is currently gazing at a person or / or object in the life scene (e.g., if the target object's gaze position coincides with the location information of a person or object in the life scene, then it is determined that the target object is currently gazing at a person or object in the life scene), and the target object's speech content does not match the person or / or object being gazed at in the life scene, then it is determined that the target object currently has a cognitive impairment; for example, when the target object looks at a cup and stammers and cannot say the name of the item or does not say "cup," it can usually be determined that there is a cognitive impairment.

[0024] If the sound source includes other people besides the target, based on the speech content of the other people in the sound content, it is determined whether the target responds to the speech content of the other people with conversational language or physical actions. If not, it is determined that the target currently has a cognitive impairment. For example, when the sound content of other sound sources besides the target is to remind the target to do a certain action or make a verbal response, or when an object or person appears in the scene and the target needs to avoid it or perform other actions, and the target does not have a corresponding physical action response or a corresponding conversational language response, it can usually be determined that there is a cognitive impairment.

[0025] If, based on the location information of the target object's gaze position and the distribution of people and / or objects in the life scene, it is determined that the target object is currently gazing at people and / or objects in the life scene, and if the people and / or objects in the gazed life scene interact with each other, and the target object does not respond based on the limb movements, then it is determined that the target object currently has cognitive impairment. For example, when the target object sees an object or person suddenly rushing towards it, but the target object does not make any instinctive response such as trying to block or avoid it with its hands, this situation is mostly due to the rupture of the defensive reflex arc, which can usually be diagnosed as Alzheimer's disease or frontotemporal dementia, indicating cognitive impairment.

[0026] In some optional implementations of this embodiment, in order to further deepen and accurately determine the type of functional defect currently existing in the target object, other specific judgment methods are proposed. For example, the first judgment unit is also used to determine the target object's response to the other person's speech based on the body movements and / or mouth opening movements if the sound source includes other people besides the target object. If the response speed does not meet the preset response speed (i.e., the response speed is slow), it is determined that the target object currently has a motor function disorder. For example, when the sound content of other sound sources besides the target object reminds the target object to do a certain action or make a verbal response, or when an object or person appears in the scene and the target object needs to avoid or perform other actions, the target object makes a corresponding body movement response or a corresponding dialogue response. However, if the response speed of making the dialogue response or body movement response does not meet the preset response speed (i.e., the response speed is slow), it can usually be judged that there is a motor function disorder.

[0027] If, based on the location information of the target object's gaze position and the distribution of people and / or objects in the life scene, it is determined that the target object is currently gazing at people and / or objects in the life scene, and when the people and / or objects in the gazed life scene interact and the target object responds based on the limb movements, then the reaction speed of the target object's response is judged. If the reaction speed does not meet the preset reaction speed, then it is judged that the target object currently has a motor function disorder. For example, when the target object sees an object or person suddenly rushing towards it, and the target object makes an instinctive response such as trying to block or avoid it with its hands, but the reaction speed of making such an instinctive response does not meet the preset reaction speed (i.e., the reaction speed is slow), it can usually be judged that there is a motor function disorder.

[0028] If, based on the pupil changes and yaw information of the target object, it is determined that irregular pupil contraction and symmetrical yaw are present, then it is determined that the target object currently has a motor dysfunction. If, based on the pupillary changes and limb movements of the target object, it is determined that the alternating contraction and dilation speed of the pupil is greater than a preset speed (i.e., a manifestation of autonomic nervous system disorder) and there is rhythmic tremor of the limbs (such as myoclonus or tonic-clonic jerks), then it is determined that the target object currently has a potential risk of epilepsy. If this symptom lasts for a preset duration (such as 1 second) or more, it is determined that the target object may currently have an epileptic seizure.

[0029] In some optional implementations of this embodiment, the first judgment unit is further configured to, when determining that the target object makes a conversational or physical response to the speech content of the other person, determine the language reaction speed based on the time difference between the sound acquisition time of the other person's speech content and the sound acquisition time of the conversational response (for example, by subtracting the acquisition time of the sound from other sound sources from the data acquisition time of the mouth opening action). If the language reaction speed is greater than the language reaction threshold (the specific value of the language reaction threshold can be determined according to the actual situation, such as 3 seconds, 5 seconds, etc.), then it is determined that the target object currently has a motor function disorder; and to determine a first action reaction speed based on the time difference between the sound acquisition time of the other person's speech content and the action acquisition time of the physical response (for example, by subtracting the acquisition time of the sound from other sound sources from the data acquisition time of the physical action). If the first action reaction speed is greater than the action reaction threshold, then it is determined that the target object currently has a motor function disorder (i.e., motor function may include physical actions such as reaching out, grasping, and raising legs, as well as functions such as mouth opening). When a person or / or object interacts with another person in the observed life scene and the target object responds based on the limb movements, a second action reaction speed is determined based on the time difference between the acquisition time of the interaction between the person and / or object in the observed life scene and the acquisition time of the response action (for example, by subtracting the time the target object observes a person or object in the scene from the data acquisition time of the target object's limb movements). If the second action reaction speed is greater than the action reaction threshold (the specific value of the action reaction threshold can be determined according to the actual situation, such as 5 seconds, 10 seconds, etc.), it is determined that the target object currently has a motor function impairment.

[0030] In some optional implementations of this embodiment, in order to further deepen and accurately determine the type of functional defect currently existing in the target object, other specific judgment methods are also proposed. For example, the first judgment unit is further configured to, if the sound source includes other people besides the target object, determine, based on the mouth opening action, that the target object makes a conversational language response to the other people's speech in the sound content, then determine whether the conversational language response made by the target object meets the preset expression requirements. If not, then determine that the target object currently has language function degradation (for example, judging from the target object's sound content and the conversation content of others, if the target object's conversational language response has unclear expression, disordered speech rate, communication barriers, poor logic, etc., and does not meet the expression requirements). If, under certain circumstances, or compared with the target's historical language response data, the target's current dialogue language response content shows a decline in vocabulary (e.g., things that could be explained before are now difficult to express), then it can be judged as a decline in language function. If the target's dialogue language response content meets the preset expression requirements and does not respond to the questions asked in the speech of other people, then it is judged that the target currently has a decline in memory function (for example, when it is identified that the target is looking at someone or something and the sound source is the target himself, if the target's speech content repeatedly asks or states questions, frequently says "I don't remember", or frequently stumbles when calling someone or something, it can be basically judged that there is forgetting of something or someone, and there is a decline in memory function).

[0031] In some optional implementations of this embodiment, specific training methods are proposed to enable timely, targeted, seamless, and engaging functional training. For example, the training device further includes: The training unit is used to: if the target subject's current functional impairment is language function regression, play sentences related to the current conversational language response for follow-along reading training (e.g., playing short passages or sentences related to the current conversational language response for the target subject to follow along, thereby training the target subject's language function); if the target subject's current functional impairment is motor function impairment, display virtual objects of objects in the life scene through the AI ​​glasses device in the data acquisition device and prompt the target subject to quickly look at the corresponding object in the life scene (e.g., virtually appearing an object in the AI ​​glasses, or playing voice prompts in the AI ​​glasses to prompt the patient to quickly look at an object to achieve the purpose of reaction training), and play movement guidance information related to limb movements (e.g., having the target subject perform certain limb movement training based on video or voice prompts in the AI ​​glasses to improve the target subject's motor function). Motor function training can be achieved by guiding the target object to name various objects within a preset time period through the AI ​​glasses device in the data acquisition device (e.g., playing voice prompts through the AI ​​glasses device, asking the target object to name as many different "animals," "fruits," "vehicles," etc. as possible within 10 seconds, and recording the number of names and the correct number, etc., and gradually recording and training every day to help the target object reach the state of "being able to answer accurately" or even "answering quickly"). If the target object's current functional impairment is memory impairment, then the memory function can be trained by playing voice prompts through the AI ​​glasses device in the data acquisition device to ask about the objects in other people's speech (e.g., when it is determined that the target object is currently forgetting something or someone, then timely and appropriate voice prompts for that object or person will appear to strengthen the target object's memory function).

[0032] In some optional implementations of this embodiment, the training unit can also train the cognitive function of the target object by displaying relevant images or playing relevant audio through AI glasses devices based on some existing methods.

[0033] In some optional implementations of this embodiment, to further intervene in the target object's lifestyle in a timely and effective manner without being noticed, the following methods are proposed. For example, the training device further includes: The second judgment unit is used to, if the analysis indicates that the target object's mood state is abnormal, play a voice prompt on the AI ​​glasses device in the data acquisition device to prompt the target object to adjust its mood (for example, when a rapid change in heart rate occurs, it determines that the target object is in a state of tension or excitement and reminds the target object to relax); if the analysis indicates that the target object's sleep or exercise status does not conform to the preset routine, play a voice prompt on the AI ​​glasses device in the data acquisition device to prompt the target object to perform the corresponding routine (for example, if the analysis indicates that the target object's sleep time and duration do not conform to the preset sleep status (i.e., preset sleep time and duration), it reminds the target object to sleep under the preset sleep status; if the analysis indicates that the target object's exercise time and duration do not conform to the preset exercise status (i.e., preset exercise time and duration), it reminds the target object to exercise under the preset sleep-exercise status).

[0034] Specifically, the aforementioned preset sleep and exercise patterns can be set based on the target subject's disease condition, or they can be learned and trained based on the target subject's past daily routine data to suit the target subject's disease treatment.

[0035] In practice, the training device can also promptly remind the target and their family members to observe the target or seek medical attention when it detects rapid pupil contraction or obvious eye tremors while observing a person or object, in order to determine whether the target's condition is at risk of worsening.

[0036] In practical implementation, the system may further include: a statistical device for receiving and storing relevant data from all processes after each detection, training, and monitoring reminder. It can also compare and analyze the target subject's condition on daily, weekly, monthly, and yearly cycles. After analysis, the training difficulty can be dynamically adjusted based on changes in the target subject's condition, and reports can be sent to the target subject and their family. This allows the target subject and their family to more intuitively see changes in the condition, increasing their confidence in Alzheimer's disease management and treatment.

[0037] According to embodiments of this application, this application also provides an electronic device that is part of any of the above-described assistive treatment systems for Alzheimer's disease.

[0038] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. An auxiliary treatment system for Alzheimer's disease, the system comprising: a data acquisition device configured to acquire image data of a scene environment of a target subject in a living scene, sound data of the living scene, motion behavior data of the target subject, and physiological data of the target subject; a data analysis device configured to analyze a distribution of people and / or objects in the living scene based on the image data; analyze a sound source and / or sound content based on the sound data of the living scene; analyze a cognitive behavior action of the target subject based on the motion behavior data of the target subject; analyze a current living schedule of the target subject based on the physiological data of the target subject; a training device configured to determine a type of dysfunction currently existing in the target subject based on the distribution of people and / or objects, the sound source and / or sound content, and the cognitive behavior action, and to perform corresponding training on the target subject for the determined type of dysfunction; determine a type of living schedule abnormality currently existing in the target subject based on the current living schedule of the target subject, and prompt the target subject to perform corresponding living schedule activities for the determined type of living schedule abnormality.

2. The system of claim 1, wherein, The data acquisition device comprises a wearable device for acquiring the physiological data and an AI glasses device identical in shape to glasses, the AI glasses device being configured to acquire the image data, the sound data, and the motion behavior data.

3. The system of claim 1, wherein, The data analysis device comprises: a first analysis unit configured to analyze a gaze position, a pupil change condition, and an eye tremor information of the target subject if the motion behavior data comprises eye movement data, and to analyze a body action and / or a mouth opening action of the target subject if the motion behavior data comprises body data; a second analysis unit configured to analyze a current mood state of the target subject based on heart rate data in the physiological data of the target subject, to analyze a sleep condition of the target subject based on sleep-related data in the physiological data of the target subject, and to analyze a motion condition of the target subject based on motion-related data in the physiological data of the target subject.

4. The system of claim 3, wherein, The training device comprises: a first determination unit configured to determine that the target subject currently has a cognitive dysfunction if a speaking content of the target subject does not conform to logic according to the sound content if the sound source is the target subject; determine that the target subject currently has a cognitive dysfunction if a speaking content of the target subject does not conform to a person and / or object in the living scene currently gazed at by the target subject based on position information of the gaze position of the target subject and the distribution of people and / or objects in the living scene. if the sound source comprises a person other than the target object, for the speaking content of the person other than the target object, determining whether the target object makes a verbal response or a body movement response to the speaking content of the person other than the target object according to the body movement and / or the mouth movement, and if not, determining that the target object currently has cognitive dysfunction; if it is determined that the target object currently gazes at a person and / or an object in the living scene according to the position information of the gazing position of the target object and the distribution of the person and / or the object in the living scene, and the person and / or the object gazed at makes an interactive action and the target object does not make a response action according to the body movement, it is determined that the target object currently has cognitive dysfunction.

5. The system of claim 4, wherein, The first determining unit is further configured to, if the sound source comprises a person other than the target object, for the speaking content of the person other than the target object, determine that the target object makes a verbal response or a body movement response to the speaking content of the person other than the target object according to the body movement and / or the mouth movement, determine a response speed of the target object in making the verbal response or the body movement response, and if the response speed does not conform to a preset response speed, determine that the target object currently has motor dysfunction; if it is determined that the target object currently gazes at a person and / or an object in the living scene according to the position information of the gazing position of the target object and the distribution of the person and / or the object in the living scene, and the person and / or the object gazed at makes an interactive action and the target object makes a response action according to the body movement, determine a response speed of the target object in making the response action, and if the response speed does not conform to a preset response speed, determine that the target object currently has motor dysfunction; if it is determined that the target object currently has irregular pupil contraction and symmetrical eye tremor according to the pupil change and the eye tremor information of the target object, it is determined that the target object currently has motor dysfunction; if it is determined that the target object currently has irregular pupil contraction and symmetrical eye tremor according to the pupil change and the eye tremor information of the target object, it is determined that the target object currently has motor dysfunction; 6. The system of claim 5, wherein, if it is determined that the target object currently has irregular pupil contraction and symmetrical eye tremor according to the pupil change and the eye tremor information of the target object, it is determined that the target object currently has motor dysfunction. The first determining unit is further configured to, when it is determined that the target object makes a verbal response or a body movement response to the speaking content of the person other than the target object, determine a verbal response speed according to a time difference between a sound collection time of the speaking content of the person other than the target object and a sound collection time of the verbal response, and if the verbal response speed is greater than a verbal response threshold, determine that the target object currently has motor dysfunction; and determine a first action response speed according to a time difference between the sound collection time of the speaking content of the person other than the target object and an action collection time of the body movement response, and if the first action response speed is greater than an action response threshold, determine that the target object currently has motor dysfunction. When the person and / or object in the life scene being watched appear to interact and the target object makes a response action according to the limb action, a second action reaction speed is determined according to a time difference between the collection time of the person and / or object in the life scene being watched appearing to interact and the action collection time of making the response action, and if the second action reaction speed is greater than the action reaction threshold value, it is determined that the target object currently has motor dysfunction.

7. The system of claim 5, wherein, The first determining unit is further configured to, if the sound source includes a person other than the target object, for the speaking content of the other person in the sound content, determine, according to the mouth opening action, that the target object makes a dialogue language response to the speaking content of the other person, and then determine whether the dialogue language response content made by the target object conforms to a preset expression requirement, and if not, determine that the target object currently has language function degradation; and if the dialogue language response content made by the target object conforms to the preset expression requirement and the dialogue language response content does not respond to the matter asked in the speaking content of the other person, determine that the target object currently has memory function degradation.

8. The system of claim 7, wherein, The training device further comprises: The training unit is configured to, if the type of the dysfunction currently existing in the target object is language function degradation, play a sentence content related to the current dialogue language response to the target object for reading training of the language function; if the type of the dysfunction currently existing in the target object is motor dysfunction, display a virtual matter of the matter in the life scene through the AI glasses device in the data collection device and prompt the target object to quickly look at the corresponding matter in the life scene, play action guidance information related to the limb action, or guide the target object to say a plurality of matter names within a preset time length through the AI glasses device in the data collection device to train the motor function; and if the type of the dysfunction currently existing in the target object is memory function degradation, play a voice prompt of the matter asked in the speaking content of the other person through the AI glasses device in the data collection device to train the memory function.

9. The system of claim 4, wherein, The training device further comprises: The second determining unit is configured to, if it is analyzed that the emotional state of the target object is abnormal, play a voice prompt of the target object adjusting the mood through the AI glasses device in the data collection device; and if it is analyzed that the sleep condition and the exercise condition of the target object do not conform to the preset work and rest activities, play a voice prompt of the target object performing the corresponding work and rest activities through the AI glasses device in the data collection device. 10.An electronic device comprising the system of any one of claims 1-9.

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