Physical fitness and intelligence assessment method and terminal device
By acquiring data on children's fine motor skills, gross motor skills, and cognitive abilities through terminal devices, and using machine learning models for physical and intellectual assessment, the problem of the single nature and time-consuming and labor-intensive nature of existing assessment methods is solved, and efficient, accurate physical and intellectual assessment and personalized training are achieved.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- THE HONG KONG POLYTECHNIC UNIV
- Filing Date
- 2025-12-09
- Publication Date
- 2026-06-18
AI Technical Summary
Existing methods for assessing children's physical and intellectual development require on-site intervention by professionals. The assessments are often simplistic, time-consuming, and labor-intensive, failing to comprehensively reflect the physical and intellectual development of the test subjects and thus affecting the accuracy of the assessments.
This paper provides a method for physical and mental assessment, which obtains the detection data of fine motor skills, gross motor skills and cognitive abilities of test subjects through terminal devices, uses machine learning models for assessment, outputs physical and mental assessment results, and generates personalized training tasks based on the assessment results.
It enables autonomous assessment without the need for on-site intervention by professional personnel, improving assessment efficiency and accuracy, comprehensively reflecting the physical and intellectual development level of the test subjects, and reducing labor costs.
Smart Images

Figure CN2025141270_18062026_PF_FP_ABST
Abstract
Description
Physical and intellectual assessment methods and terminal devices
[0001] This application claims priority to U.S. Provisional Patent Application No. 63 / 729,713, filed December 9, 2024, with the United States Patent and Trademark Office, the entire contents of which are incorporated herein by reference. Technical Field
[0002] This application belongs to the field of health and medical care, and in particular relates to physical and mental assessment methods and terminal equipment. Background Technology
[0003] In the fields of children's health development, rehabilitation therapy, and special education, assessing children's motor abilities and intelligence is a prerequisite for developing scientific training or rehabilitation methods.
[0004] Existing assessment methods generally require on-site guidance from professionals in different fields (such as intelligence assessment and physical fitness assessment), which is time-consuming and labor-intensive. Moreover, experts in a single field typically assess only one aspect of the test subject's motor ability or only their intelligence. The assessment methods are singular and therefore cannot reflect the overall state of the test subject's physical and intellectual development, thus affecting the accuracy of the assessment. Technical issues
[0005] One of the objectives of this application is to provide a physical and mental assessment method and terminal device that can improve assessment efficiency and accuracy. Technical solutions
[0006] The first aspect of this application provides a physical and intellectual assessment method, including:
[0007] In response to a physical and intellectual assessment instruction, an assessment instruction message is output, which is used to instruct the execution of a specified assessment task;
[0008] Acquire detection data during the process of the test subject performing the evaluation task, and the detection data reflects one or more of the test subject's fine motor skills, gross motor skills, and cognitive abilities;
[0009] Based on the test data, the physical and mental assessment results of the test subject are determined.
[0010] In one embodiment, acquiring detection data during the evaluation task performed by the test object includes:
[0011] The fine motor information of the test subject when performing finger movement, rotation or pressing actions is obtained. The fine motor information reflects the fine motor ability of the test subject and includes at least one of rotation angle, rotation speed, grip strength and pinching force.
[0012] In one embodiment, acquiring fine motor information of the test subject when performing finger movement, rotation, or pressing actions includes:
[0013] When the test object rotates or presses the force measuring rod, the fine motion information sent by the force measuring rod is acquired.
[0014] In one embodiment, acquiring detection data during the evaluation task performed by the test object includes:
[0015] Obtain gross motor information of the test subject when standing or moving. The gross motor information reflects the gross motor ability of the test subject and includes at least one of the following: foot force information, gait information, and joint movement information when the test subject stands or moves.
[0016] In one embodiment, acquiring gross motor information of the test subject when standing or moving includes:
[0017] When the test subject stands or moves on the pressure detection pad, the gross motor information is determined based on the pressure information detected by the pressure detection pad and the joint movement information of the test subject detected by the motion detection sensor.
[0018] In one embodiment, acquiring detection data during the evaluation task performed by the test object includes:
[0019] Acquire cognitive information of the test subject when performing a preset cognitive task. The cognitive information reflects the cognitive ability of the test subject and includes reaction time, execution process, and execution result information.
[0020] In one embodiment, obtaining cognitive information of the test subject when performing a preset cognitive task includes:
[0021] Based on the operation information of the test subject in the multimedia environment corresponding to the cognitive task, the cognitive information of the test subject when performing the cognitive task is determined. The multimedia environment includes one or more of touch screen display, AR interaction, and VR interaction.
[0022] In one embodiment, in response to a physical and intellectual assessment instruction, assessment instruction information is output, including:
[0023] In response to the physical and mental assessment instruction, the physical information of the test subject is obtained, including one or more of age, height, weight, and health status;
[0024] Output assessment instructions that match the stated body information.
[0025] In one embodiment, determining the physical and mental assessment result of the test subject based on the detection data includes:
[0026] The detection data is input into the evaluation model to obtain the physical and mental evaluation results of the test subject output by the evaluation model. The evaluation model is obtained by training the machine learning model with pre-collected historical detection data and historical evaluation data as training samples.
[0027] In one embodiment, determining the physical and mental assessment result of the test subject based on the detection data includes:
[0028] Based on the test data, a first score for fine motor skills, a second score for gross motor skills, and a third score for cognitive abilities are determined.
[0029] The physical and intellectual scores of the test subject are obtained by taking a weighted average of the first score, the second score, and the third score according to preset weighting coefficients.
[0030] In one embodiment, after determining the physical and mental assessment result of the test subject based on the detection data, the method further includes:
[0031] The training task is output according to the preset rehabilitation training model and corresponds to the physical and mental assessment results. The training task is used to instruct the test subject to train fine motor skills, gross motor skills, or cognitive abilities.
[0032] In one embodiment, after outputting a training task corresponding to the assessment result according to a preset rehabilitation training model, the method further includes:
[0033] Obtain information on the completion status of the training task;
[0034] The training task is adjusted based on the completion status information.
[0035] In one embodiment, after determining the physical and mental assessment result of the test subject based on the detection data, the method further includes:
[0036] Based on the physical and mental assessment results of the test subject, the test subject's physical information, and the summarized data, an assessment report for the test subject is output. The summarized data is obtained by collecting detection data and physical and mental assessment results from multiple other test subjects. The assessment report includes the physical and mental assessment comparison results of the test subject and / or the physical and mental development trend of the test subject.
[0037] A second aspect of this application provides a physical and intellectual assessment device, comprising:
[0038] The response module is used to respond to physical and mental assessment instructions and output assessment instruction information, which is used to instruct the execution of a specified assessment task.
[0039] The acquisition module is used to acquire detection data during the process of the test subject performing the evaluation task. The detection data reflects one or more of the test subject's fine motor skills, gross motor skills, and cognitive abilities.
[0040] The determination module is used to determine the physical and mental assessment results of the test subject based on the detection data.
[0041] A third aspect of this application provides a terminal device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the physical and mental assessment method as described in the first aspect above.
[0042] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the physical and mental assessment method described in the first aspect above.
[0043] The fifth aspect of this application provides a computer program product that, when run on a terminal device, causes the terminal device to execute the physical and mental assessment method described in any one of the first aspects. Beneficial effects
[0044] By instructing test subjects to perform designated assessment tasks, and acquiring the data collected during the task execution, the physical and intellectual assessment results are determined based on this data. Since the data reflects one or more of the test subject's fine motor skills, gross motor skills, and cognitive abilities, it can reflect the overall state of the test subject's physical and intellectual development. Determining the assessment results based on this data improves the accuracy of the assessment. Furthermore, test subjects can complete the assessment process independently, without the need for on-site guidance and testing by professional personnel, reducing labor costs and increasing assessment efficiency. Attached Figure Description
[0045] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.
[0046] Figure 1 is a schematic diagram of the implementation process of the physical and mental assessment method provided in an embodiment of this application;
[0047] Figure 2 is a schematic diagram of a physical and intellectual assessment device provided in an embodiment of this application;
[0048] Figure 3 is a schematic diagram of the structure of the terminal device provided in the embodiment of this application. Embodiments of the present invention
[0049] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.
[0050] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.
[0051] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.
[0052] It should also be further understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.
[0053] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrases "if determined" or "if [described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [described condition or event] is detected," or "in response to detection of [described condition or event]."
[0054] Furthermore, in the description of this application, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0055] The physical and mental assessment method provided in this application is applied to a physical and mental assessment system, which includes a force bar, a pressure detection pad, a motion detection sensor, a multimedia device, and a terminal device. The force bar is used to collect fine motor information when the test subject rotates or presses the force bar. The pressure detection pad and motion detection sensor are used to detect gross motor information when the test subject stands or moves on the pressure detection pad. The multimedia device is used to detect cognitive information when the test subject performs a preset cognitive task in a multimedia scene. The terminal device is used to determine the physical and mental assessment result of the test subject based on the fine motor information, gross motor information, and cognitive information. The terminal device can include a terminal side, an edge side, and a cloud side. The terminal side collects fine motor information, gross motor information, and cognitive information and uploads it to the edge side. The edge side performs preliminary processing (e.g., verification and encryption) on the data uploaded from the terminal side. The cloud side receives the data preliminarily processed by the edge side, performs an assessment, and stores the data in a database.
[0056] The physical and intellectual assessment method provided in this application is illustrated below.
[0057] Please refer to Figure 1. An embodiment of this application provides a physical and mental assessment method including steps S101 to S103.
[0058] S101: In response to the physical and mental assessment instruction, output assessment instruction information, which is used to instruct the execution of the specified assessment task.
[0059] The physical and mental assessment instructions are used to direct the physical and mental assessment system to conduct physical and mental assessments on the test subject. For example, the terminal device includes a display screen, which displays the operation interface of the physical and mental assessment application on the screen according to the physical and mental assessment instructions given by the test subject (e.g., a therapist). The operation interface displays assessment items such as fine motor skills assessment, gross motor skills assessment, and cognitive ability assessment. Each assessment item is configured with corresponding label information to explain the actions to be performed and the skills being assessed by the test subject. For example, the label information for fine motor skills assessment includes assessing finger dexterity, grip strength, pinching strength, hand coordination, and operational stability. The label information for gross motor skills assessment includes assessing balance control, postural control, gait symmetry, joint coordination, center of gravity adjustment, and abdominal and muscular endurance. The label information for cognitive ability assessment includes assessing attention, memory, inhibitory control, and visual perception abilities (visual discrimination, visual spatial relationship recognition, graphic background recognition, and shape constancy recognition).
[0060] When the terminal device detects that the tester clicks on an assessment item, it outputs the assessment task corresponding to that item. The assessment tasks include fine motor skills assessment tasks, gross motor skills assessment tasks, and cognitive skills assessment tasks, respectively.
[0061] Fine motor skill assessment tasks can include instructing the test subject to operate a force gauge, such as instructing the test subject to start the force gauge, instructing the test subject to calibrate the initial rotation angle of the force gauge, instructing the test subject to rotate the force gauge in a specified direction, or instructing the test subject to press or hold the force gauge at a specified position. For example, when instructing the test subject to operate the force gauge, an operation animation can be displayed on the screen to guide the test subject to operate according to standard movements.
[0062] Gross motor assessment tasks can include instructing a test subject to operate a pressure detection pad and motion detection sensors. For example, instructing the test subject to activate the pressure detection pad and motion detection sensors, instructing the test subject to calibrate the timing information of the pressure detection pad and motion detection sensors, instructing the test subject to stand at a specified position on the pressure detection pad, or instructing the test subject to perform a specified action on the pressure detection pad (e.g., stepping, standing on one leg, moving in a specified direction). For instance, when instructing the test subject to operate the pressure detection pad and motion detection sensors, an operation animation can be displayed on the screen to guide the test subject to perform the operation according to standard actions.
[0063] Cognitive ability assessment tasks can involve instructing test subjects to perform actions within a multimedia environment. For example, instructing test subjects to complete questions or games within a multimedia environment. The multimedia environment can be one or more of touchscreen displays, augmented reality (AR) interaction, or virtual reality (VR) interaction, thereby making the assessment process more engaging and attracting test subject participation.
[0064] For example, questions or games corresponding to cognitive ability assessment tasks are displayed on a touchscreen. Test subjects can complete the corresponding questions or games based on the prompts provided for each question or game. For instance, in one game, the touchscreen displays a target image and candidate images, instructing the test subject to select the target image from the candidate images. In another game, the touchscreen displays a start point, an end point, and a trajectory between the start and end points, instructing the test subject to slide along the trajectory from the start point to the end point. In yet another game, the touchscreen or VR environment displays images, instructing the test subject to click or slide on the images using gross or fine motor skills, or to move to a designated location.
[0065] In one embodiment, the terminal device responds to a physical and mental assessment command by acquiring the test subject's physical information, including one or more of age, height, weight, and health status. For example, the device acquires the test subject's physical information by obtaining voice or text data input by the test subject. Then, it outputs assessment instructions matching the test subject's physical information. For example, fine motor skills assessment tasks, gross motor skills assessment tasks, and cognitive ability assessment tasks all include multiple levels of tasks, each corresponding to different levels of difficulty. By determining the corresponding level of task based on the test subject's physical information and then outputting the assessment instructions corresponding to that level, the device can perform physical and mental assessments based on the test subject's actual physical condition, thus improving assessment accuracy.
[0066] S102: Obtain detection data during the process of the test subject performing the evaluation task, wherein the detection data reflects one or more of the test subject's fine motor skills, gross motor skills, and cognitive abilities.
[0067] The detection data includes one or more of the following: fine motor information, gross motor information, and cognitive information.
[0068] In one embodiment, fine motor information is acquired when a test subject performs finger movement, rotation, or pressing actions. This fine motor information reflects the test subject's fine motor ability. Exemplarily, the fine motor information includes at least one of rotation angle, rotation speed, grip strength, and pinching force, which can be used to assess the test subject's hand-eye coordination, ambidextrous coordination, finger dexterity, and operational stability, achieving a quantitative assessment of hand fine motor ability. The test subject can acquire fine motor information using a force measuring rod or other force measuring device. When the test subject operates other force measuring devices, the fine motor information can be input by the test subject. The force measuring rod is equipped with measuring elements such as a rotation measurement sensor, a pressure sensor, and a six-axis sensor. When the test subject rotates or presses the force measuring rod, the terminal device acquires the fine motor information collected by each sensor sent by the force measuring rod, thereby ensuring the accuracy of the acquired data.
[0069] In one embodiment, gross motor information is acquired when the test subject is standing or moving. This gross motor information reflects the test subject's gross motor ability. Exemplarily, the gross motor information includes at least one of the following: foot force information, gait information, and joint motion information when the test subject is standing or moving. This comprehensively covers core gross motor ability dimensions such as balance control, gait coordination, and joint motion, and can assess the test subject's balance control ability, joint coordination ability, etc. The test subject can acquire gross motor information through a pressure detection pad and a motion detection sensor, or through other pressure detection devices. When the test subject operates other pressure detection devices, the gross motor information can be input by the test subject. When the test subject stands or moves on the pressure detection pad, the pressure detection pad collects the test subject's foot force information and gait information, while the motion detection sensor collects the test subject's joint motion information during standing or moving. The terminal device acquires the foot force information and gait information sent by the pressure detection pad, and simultaneously acquires the joint motion information sent by the motion detection sensor, thus obtaining the gross motor information and improving the accuracy and comprehensiveness of the obtained gross motor information.
[0070] In one embodiment, cognitive information is acquired when a test subject performs a preset cognitive task. This cognitive information reflects the test subject's cognitive ability. Exemplarily, the cognitive information includes reaction time, execution process, and execution result information. This information can assess at least one of the test subject's abilities, such as attention, memory, inhibitory control, and vision, thereby transforming abstract cognitive abilities into quantifiable indicators. Cognitive information can be obtained through the completion of test questions or a set game. For example, cognitive information can be determined by the test subject's verbal responses to test questions, by photographing the test questions completed by the test subject, or by the test subject's operational information in the multimedia environment corresponding to the cognitive task. For instance, reaction time and execution result can be obtained based on the test subject's operational information in the game; the execution result could be execution accuracy. The execution process can be obtained based on the test subject's operational information in the game, and the execution process is the actual trajectory of the test subject's fingers during the game. Different cognitive information can be used to assess the test subject's cognitive ability. For example, the test subject's visual constancy ability can be assessed based on the execution result in the game, and the test subject's visual sequence memory ability can be assessed based on the execution result in the game.
[0071] It is understandable that the fine motor information, gross motor information, and cognitive information of the test subject can be collected separately during the completion of the corresponding evaluation task, or multiple types of detection data can be collected simultaneously during the same evaluation task. For example, in AR or VR interactive scenarios, the fine motor information, gross motor information, and cognitive information of the test subject can be detected simultaneously.
[0072] S103: Determine the physical and mental assessment results of the test subject based on the detection data.
[0073] In one embodiment, historical detection data and historical evaluation data of test subjects with different physical information are pre-collected as training samples to train a machine learning model, resulting in an evaluation model. The historical evaluation data is based on theories such as motor learning theory, neurodevelopmental theory, and educational psychology, combined with expert evaluation data, thus possessing a high degree of scientific basis. Inputting the detection data into the evaluation model yields the test subject's physical and intellectual evaluation results, providing accurate results. These results can include the test subject's intellectual development level (strengths, weaknesses, levels, etc.), fine motor development level, gross motor development level, and the correlation between these levels.
[0074] In another embodiment, a first score for fine motor skills, a second score for gross motor skills, and a third score for cognitive abilities are determined based on the detection data. The first, second, and third scores are then weighted and averaged according to preset weighting coefficients to obtain the test subject's physical and mental health score, which is the physical and mental health assessment result. For example, the first score is determined based on the difference between the test subject's rotation angle, rotation speed, grip strength, and pinching force when operating a force gauge and preset standard data. The second score is determined based on the difference between the test subject's foot force information, gait information, and joint movement information when standing and moving on a pressure pad and preset standard data. The score of the test subject completing a preset cognitive task (e.g., a game or question) is used as the third score. The first, second, and third scores are then weighted and averaged according to the weighting coefficients corresponding to fine motor skills, gross motor skills, and cognitive abilities to obtain the test subject's physical and mental health score. The weighting coefficients corresponding to fine motor skills, gross motor skills, and cognitive abilities can be determined by the tester based on the usage scenario of the physical and mental health assessment system. For example, different weighting coefficients can be set according to the test subject's age group and physical condition. By setting weighting coefficients to calculate a weighted average of the first score for fine motor skills, the second score for gross motor skills, and the third score for cognitive abilities, reasonable weighting coefficients can be set according to the actual situation of the test subjects. A larger weighting coefficient can be set for core abilities, thereby improving the accuracy of physical and intellectual assessment results.
[0075] In one embodiment, the physical and mental assessment results are input into a preset rehabilitation training model to obtain a training task output by the model. For example, the rehabilitation training model can determine the weak areas of the test subject based on the physical and mental assessment results, and then determine training goals based on these weak areas. Training goals can be goals related to hand-eye coordination, standing stability, etc. After determining the training goals, a training task corresponding to those goals is generated. For example, if the training goal is hand-eye coordination, the training task is to rotate or press a force gauge at a set speed or angle; if the training goal is standing stability, the training task is to stand on a pressure testing pad in a set posture. This allows for targeted training of the test subject, improving the training effect.
[0076] In another embodiment, the tester can also input training content into the terminal device, and the terminal device can generate training tasks adapted to the force bar, pressure detection pad, etc. based on the training content input by the tester.
[0077] In one embodiment, after outputting the training task, the test subject can execute the training task according to the instructions of the terminal device. While the test subject is executing the training task, the terminal device collects corresponding training data (e.g., the rotation angle and speed of the force bar, gait while moving on the pressure testing pad, or the score of the cognitive task, etc.), and determines the completion status of the training task based on the training data. For example, it determines the difference between the rotation angle of the force bar and the target angle, and the difference between the score of the cognitive task and the target score, etc., thereby facilitating the tester to monitor the test subject's training status in real time. Subsequently, the terminal device adjusts the training task based on the completion status, so that subsequent training tasks can match the user's actual situation. For example, if the difference between the score of the cognitive task and the target score is greater than a set value, the difficulty level of the cognitive task is reduced.
[0078] In one embodiment, after obtaining the physical and mental assessment results of the test subject, an assessment report is output based on the test subject's physical and mental assessment results, physical information, and summarized data. The summarized data is obtained by collecting detection data and physical and mental assessment results from multiple other test subjects. The assessment report includes data such as the test subject's physical and mental assessment comparison results and the test subject's physical and mental development trend. For example, the system collects assessment data, training data, and other relevant data from multiple test subjects and stores them in a database, thereby obtaining big data for comparison and prediction. When the test subject needs a physical and mental assessment report, the terminal device filters out suitable big data and combines it with the test subject's information to obtain the assessment report required by the test subject, thereby helping the test subject develop a personalized training or education plan.
[0079] In the above embodiments, by acquiring detection data during the assessment task performed by the test subject, combining fine motor information, gross motor information, and cognitive information, the physical and intellectual assessment results of the test subject are determined based on the detection data. This allows the physical and intellectual assessment results to more comprehensively reflect the test subject's physical and intellectual development level. Furthermore, assessment and training can be conducted remotely through terminal devices and testing equipment, reducing manpower and time costs.
[0080] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0081] Corresponding to the physical and mental assessment method described in the above embodiments, Figure 2 shows a structural block diagram of the physical and mental assessment device provided in the embodiments of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.
[0082] As shown in Figure 2, the physical and mental assessment device includes a response module 111, an acquisition module 112, and a determination module 113.
[0083] Response module 111 is used to respond to physical and mental assessment instructions and output assessment instruction information, wherein the assessment instruction information is used to instruct the execution of a specified assessment task;
[0084] The acquisition module 112 is used to acquire detection data during the process of the test subject performing the evaluation task. The detection data reflects one or more of the test subject's fine motor ability, gross motor ability, and cognitive ability.
[0085] The determination module 113 is used to determine the physical and mental assessment results of the test subject based on the detection data.
[0086] In one embodiment, the acquisition module 112 is specifically used for:
[0087] The fine motor information of the test subject when performing finger movement, rotation or pressing actions is obtained. The fine motor information reflects the fine motor ability of the test subject and includes at least one of rotation angle, rotation speed, grip strength and pinching force.
[0088] In one embodiment, the acquisition module 112 is specifically used for:
[0089] When the test object rotates or presses the force measuring rod, the fine motion information sent by the force measuring rod is acquired.
[0090] In one embodiment, the acquisition module 112 is specifically used for:
[0091] Obtain gross motor information of the test subject when standing or moving. The gross motor information reflects the gross motor ability of the test subject and includes at least one of the following: foot force information, gait information, and joint movement information when the test subject stands or moves.
[0092] In one embodiment, the acquisition module 112 is specifically used for:
[0093] When the test subject stands or moves on the pressure detection pad, the gross motor information is determined based on the pressure information detected by the pressure detection pad and the joint movement information of the test subject detected by the motion detection sensor.
[0094] In one embodiment, the acquisition module 112 is specifically used for:
[0095] Acquire cognitive information of the test subject when performing a preset cognitive task. The cognitive information reflects the cognitive ability of the test subject and includes reaction time, execution process, and execution result information.
[0096] In one embodiment, the acquisition module 112 is specifically used for:
[0097] Based on the operation information of the test subject in the multimedia environment corresponding to the cognitive task, the cognitive information of the test subject when performing the cognitive task is determined. The multimedia environment includes one or more of touch screen display, AR interaction, and VR interaction.
[0098] In one embodiment, the response module 111 is specifically used for:
[0099] In response to the physical and mental assessment instruction, the physical information of the test subject is obtained, including one or more of age, height, weight, and health status;
[0100] Output assessment instructions that match the stated body information.
[0101] In one embodiment, the determining module 113 is specifically used for:
[0102] The detection data is input into the evaluation model to obtain the physical and mental evaluation results of the test subject output by the evaluation model. The evaluation model is obtained by training the machine learning model with pre-collected historical detection data and historical evaluation data as training samples.
[0103] In one embodiment, the determining module 113 is specifically used for:
[0104] Based on the test data, a first score for fine motor skills, a second score for gross motor skills, and a third score for cognitive abilities are determined.
[0105] The physical and intellectual scores of the test subject are obtained by taking a weighted average of the first score, the second score, and the third score according to preset weighting coefficients.
[0106] In one embodiment, the determining module 113 is further configured to:
[0107] The training task is output according to the preset rehabilitation training model and corresponds to the physical and mental assessment results. The training task is used to instruct the test subject to train fine motor skills, gross motor skills, or cognitive abilities.
[0108] In one embodiment, the determining module 113 is further configured to:
[0109] Obtain information on the completion status of the training task;
[0110] The training task is adjusted based on the completion status information.
[0111] In one embodiment, the determining module 113 is further configured to:
[0112] Based on the physical and mental assessment results of the test subject, the test subject's physical information, and the summarized data, an assessment report for the test subject is output. The summarized data is obtained by collecting detection data and physical and mental assessment results from multiple other test subjects. The assessment report includes the physical and mental assessment comparison results of the test subject and / or the physical and mental development trend of the test subject.
[0113] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.
[0114] Figure 3 is a schematic diagram of the terminal device provided in an embodiment of this application. The terminal device may be a desktop computer, a laptop, a handheld computer, or a cloud server, etc.
[0115] As shown in Figure 3, the terminal device of this embodiment includes: a processor 121, a memory 122, and a computer program 123 stored in the memory 122 and executable on the processor 121. When the processor 121 executes the computer program 123, it implements the steps in the above-described physical and mental assessment method embodiment, such as steps S101 to S103 shown in Figure 1. Alternatively, when the processor 121 executes the computer program 123, it implements the functions of each module / unit in the above-described device embodiments, such as the functions of response module 111 to determination module 113 shown in Figure 2.
[0116] For example, the computer program 123 may be divided into one or more modules / units, which are stored in the memory 122 and executed by the processor 121 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 123 in the terminal device.
[0117] Those skilled in the art will understand that Figure 3 is merely an example of a terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the terminal device may also include input / output devices, network access devices, buses, etc.
[0118] The processor 121 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.
[0119] The memory 122 can be an internal storage unit of the terminal device, such as a hard drive or memory. The memory 122 can also be an external storage device of the terminal device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory 122 can include both internal and external storage units. The memory 122 is used to store the computer program and other programs and data required by the terminal device. The memory 122 can also be used to temporarily store data that has been output or will be output.
[0120] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0121] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0122] In the embodiments provided in this application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.
[0123] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0124] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0125] If an integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.
[0126] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0127] The above are merely optional embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for assessing physical and intellectual abilities, characterized in that, include: In response to a physical and intellectual assessment instruction, an assessment instruction message is output, which is used to instruct the execution of a specified assessment task; Acquire detection data during the process of the test subject performing the evaluation task, and the detection data reflects one or more of the test subject's fine motor skills, gross motor skills, and cognitive abilities; Based on the test data, the physical and mental assessment results of the test subject are determined.
2. The physical and intellectual assessment method according to claim 1, characterized in that, Obtain detection data during the evaluation process performed by the test object, including: The fine motor information of the test subject when performing finger movement, rotation or pressing actions is obtained. The fine motor information reflects the fine motor ability of the test subject and includes at least one of rotation angle, rotation speed, grip strength and pinching force.
3. The physical and intellectual assessment method according to claim 2, characterized in that, Obtain fine motor information of the test subject when performing finger movement, rotation, or pressing actions, including: When the test object rotates or presses the force measuring rod, the fine motion information sent by the force measuring rod is acquired.
4. The physical and intellectual assessment method according to claim 1, characterized in that, Obtain detection data during the evaluation process performed by the test object, including: Obtain gross motor information of the test subject when standing or moving. The gross motor information reflects the gross motor ability of the test subject and includes at least one of the following: foot force information, gait information, and joint movement information when the test subject stands or moves.
5. The physical and intellectual assessment method according to claim 4, characterized in that, Obtain gross motor information of the test subject when standing or moving, including: When the test subject stands or moves on the pressure detection pad, the gross motor information is determined based on the pressure information detected by the pressure detection pad and the joint movement information of the test subject detected by the motion detection sensor.
6. The physical and intellectual assessment method according to claim 1, characterized in that, Obtain detection data during the evaluation process performed by the test object, including: Acquire cognitive information of the test subject when performing a preset cognitive task. The cognitive information reflects the cognitive ability of the test subject and includes reaction time, execution process, and execution result information.
7. The physical and intellectual assessment method according to claim 6, characterized in that, Obtaining cognitive information of the test subject when performing a preset cognitive task includes: Based on the operation information of the test subject in the multimedia environment corresponding to the cognitive task, the cognitive information of the test subject when performing the cognitive task is determined. The multimedia environment includes one or more of touch screen display, AR interaction, and VR interaction.
8. The physical and intellectual assessment method according to claim 1, characterized in that, In response to physical and intellectual assessment instructions, output assessment instruction information, including: In response to the physical and mental assessment instruction, the physical information of the test subject is obtained, including one or more of age, height, weight, and health status; Output assessment instructions that match the stated body information.
9. The physical and intellectual assessment method according to claim 1, characterized in that, Based on the detection data, the physical and mental assessment results of the test subject are determined, including: The detection data is input into the evaluation model to obtain the physical and mental evaluation results of the test subject output by the evaluation model. The evaluation model is obtained by training the machine learning model with pre-collected historical detection data and historical evaluation data as training samples.
10. The physical and intellectual assessment method according to claim 1, characterized in that, Based on the detection data, the physical and intellectual assessment results of the test subject are determined, including: Based on the test data, a first score for fine motor skills, a second score for gross motor skills, and a third score for cognitive abilities are determined. The physical and intellectual scores of the test subject are obtained by taking a weighted average of the first score, the second score, and the third score according to preset weighting coefficients.
11. The physical and intellectual assessment method according to claim 1, characterized in that, After determining the physical and mental assessment results of the test subject based on the detection data, the method further includes: The training task is output according to the preset rehabilitation training model and corresponds to the physical and mental assessment results. The training task is used to instruct the test subject to train fine motor skills, gross motor skills, or cognitive abilities.
12. The physical and intellectual assessment method according to claim 11, characterized in that, After outputting the training task corresponding to the assessment result based on the preset rehabilitation training model, the method further includes: Obtain information on the completion status of the training task; The training task is adjusted based on the completion status information.
13. The physical and intellectual assessment method according to claim 1, characterized in that, After determining the physical and mental assessment results of the test subject based on the detection data, the method further includes: Based on the physical and mental assessment results of the test subject, the test subject's physical information, and the summarized data, an assessment report for the test subject is output. The summarized data is obtained by collecting detection data and physical and mental assessment results from multiple other test subjects. The assessment report includes the physical and mental assessment comparison results of the test subject and / or the physical and mental development trend of the test subject.
14. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the physical and mental assessment method as described in any one of claims 1 to 13.