28 results about "Motor skill" patented technology

To provide an information processing device capable of appropriately evaluating the level of motor skill proficiency. [Solution] The control unit 12 (information processing device) according to this disclosure includes: a subject brainwave acquisition unit 121 that acquires subject brainwaves showing the brainwaves of a subject when the subject performs a predetermined movement; a subject motion acquisition unit 122 that acquires subject motions showing the actions of a subject when the subject performs a predetermined movement; and a proficiency evaluation unit 123 that, using a reference motion as the reference motion when performing a predetermined movement, evaluates the proficiency of the subject motion higher the smaller the amplitude of the subject brainwaves when the absolute value of the difference between the amount of movement of the reference motion and the amount of movement of the subject motion is less than a first threshold.

The application discloses a kind of humanoid robot motor skills training methods based on body-object-environment relationship modeling.First, the reference motion data of target motor skills and interactive object, environment state data are obtained;During the training process, the body-object, body-environment, object-environment relationship characteristics and contact state are calculated based on the robot ontology, object and environment state, and the relationship enhanced state representation is constructed;Input it into the adversarial discriminant network to generate the adversarial reward representing the naturalness of action and the consistency of interaction;Finally, the adversarial reward, task, stability and safety reward are fused, and the control strategy is trained based on reinforcement learning.Compared with existing methods, the application explicitly learns the interaction relationship, reduces the complexity of reward engineering, improves the naturalness of movement, the rationality of interaction and the environmental adaptability, and is suitable for whole-body interaction tasks such as carrying, supporting and obstacle crossing.

Estimation of human vision-motor skills using a steer-by-wire system is provided. In one embodiment, a method includes presenting a visual tracking application on a display of a vehicle, the visual tracking application including a moving target user interface (UI) element and a tracking UI element, when the vehicle is restricted to a parked state; detecting movement of the steering wheel by a vehicle operator using a steering-by-wire (SbW) steering system of the vehicle; moving the tracking UI element in a visual tracking application based on the detected movement; and determining a corresponding tracking error between the position of the moving target UI element in the visual tracking application and the position of the tracking UI element in the visual tracking application multiple times. The method also includes processing the corresponding tracking error to estimate a visual-motor skill of the operator.

The invention discloses a humanoid robot controller training method, a humanoid robot controller control method and a humanoid robot controller training device. A two-stage training framework is adopted, and in the first stage, a reinforcement learning algorithm is adopted to independently train a plurality of single-behavior controllers which are specially used for different sports skills (such as walking and standing); then, the capabilities of the single-behavior controllers are integrated into a unified multi-behavior controller through a behavior distillation method, so that the unified multi-behavior controller has the capability of autonomously switching skills according to states. And in the second stage, in order to improve the robustness of the multi-behavior controller in a complex environment, a task environment for simulating various use terrains is constructed, and reinforcement learning fine tuning is performed on the controller in parallel in the environment, so that a controller capable of adapting to the complex terrains and realizing multi-skill smooth switching is finally obtained. The adaptive capacity of the humanoid robot controller and the reliability of practical application can be improved. The robot can be widely applied to the technical field of robots.

This invention discloses a method for constructing an AI-assisted assessment system for physical education teaching scenarios, belonging to the field of education. The method includes the following steps: First, a standard movement sample database is constructed based on physical education teaching standards, containing movement samples and feature annotations from multiple angles and difficulty levels; second, an AI assessment model is designed, using computer vision technology to extract key points of human posture, and combining temporal analysis algorithms to achieve automatic recognition and quantitative scoring of movements; then, a recording module, a feedback module, and a report generation module are integrated to provide video acquisition, real-time analysis, and personalized guidance functions; finally, the system is continuously improved through an iterative optimization path of data acquisition, model training, system integration, and experimental verification. This invention realizes the transformation of physical education teaching assessment from a subjective experience-driven model to a data-driven model, supports multi-dimensional movement scoring and deviation localization, provides objective and unified evaluation results, and offers immediate and accurate feedback, effectively improving teaching guidance efficiency and students' movement skill levels.

The application discloses a motion skill action posture intelligent evaluation method and system, adopts a multi-view camera array to synchronously collect a motion process video, extracts a human body skeleton two-dimensional key point through an improved algorithm, combines multi-view geometric constraints and Kalman filtering to reconstruct a three-dimensional human body posture sequence, constructs a standard action posture template library, realizes posture alignment of an evaluation object and a standard template through body proportion normalization processing, completes action stage division and phased posture evaluation through a dynamic time warping algorithm, calculates posture deviation and generates a graded deviation diagnosis report, and finally realizes superimposed visual feedback of evaluation postures and standard postures through augmented reality technology. The application can realize high-precision, quantifiable and phased intelligent evaluation of motion postures, eliminate the interference of individual morphological differences on evaluation results, accurately locate action deviation nodes, and provide intuitive interactive correction guidance.

The application discloses a basic motor skill quantitative test method and an intelligent evaluation device for child development evaluation, and relates to the technical field of child development evaluation. The specific steps of the method are as follows: first, collecting multi-source data of child movement through a device and standardizing and integrating the data; then, dividing sequence stages and constructing a standard action feature library; then, dynamically matching to determine specific stages and collecting exclusive parameters; then, performing multi-modal fusion evaluation, generating a report and early warning information; finally, generating a personalized intervention scheme according to the evaluation and early warning, and optimizing the model according to the effect to form a closed loop system. The application breaks the limitation of single data evaluation, collects and integrates data in multiple dimensions, divides sequence stages, constructs a standard feature library, and makes up for the deficiency of traditional evaluation. In addition, the application accurately judges and early warns risks through collaborative matching and fusion evaluation, generates differentiated intervention content, records data optimization models, forms a closed loop, solves the disconnection problem of traditional evaluation and intervention, and helps to improve child development.

A device that trains a person's motor skills, including the adaptation to instability, strength and mobility, includes a dome having preset characteristics of elastic deformability and a wall of preset thickness. One or more separating walls are arranged in an inner recess of the dome and form ribs that provide a support to the dome at its base, defining one or more compartments within the recess.

1. The name of the design product: toy (stone set for crossing the river and sensory board set). 2. The use of the design product: the design product is used for toys for exercising children's motor skills, which has the function of toys and the function of sports equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: reference drawing in use. 5. Other circumstances that need to be explained: set 1 is a stone for crossing the river, and set 2 is a sensory board.

The present invention is an electric motor capable of contracting itself to transmit its mechanical force in the form of traction to another attached object. This type of motor behaves similarly to a muscle and can be manufactured to its exact size and shape to replace it, thus enabling mechanical limb prostheses equipped with it to restore to the user almost all the motor skills of their lost limb, unlike other types of electric motors which only restore a portion of them. This motor consists of an assembly of contraction units, each comprising a solenoid attached to the outer fibrous sheath by central fibers, and a permanent magnet facing it, also attached in the same way.When an electric current passes through the solenoid, it becomes magnetic. The two attract each other, and their attractive force is transmitted via the fibers to the coating, causing it to contract. This force can then be transmitted to another object attached to the coating. A special damping system is also present. Everything relies on a clever interplay of mechanical tension coupled with a driving force source derived from the properties of electromagnetism to successfully reproduce the subtleties of muscle movement. This device is useful in improving the capabilities of active limb prostheses, in robotics for enhancing the capabilities of android robots, and is also likely to find applications in other fields.

The present disclosure provides a manual dexterity training device that addresses cognitive and motor skill decline through progressive therapeutic exercises. The device comprises an object configured to be manually moved, and a container with an open face defining side-A and side-B. A central vertical divider separates the sides and includes a protruding section with holes extending through face-A and face-B. Cover-A and cover-B are hingedly coupled to move between horizontal and vertical positions, each including holes for object passage. The device enables objects to move from side-A to side-B through aligned holes, providing graduated difficulty levels that help maintain independence and cognitive function in aging populations and individuals with neurological conditions.

This invention provides a method for generating multi-contact point motion in humanoid robots, comprising: describing the motion state of the end effector of a multi-contact point legged robot; constructing a mathematical description of the motion mode of the robot's end effector; converting the mathematical description into a reward function for reinforcement learning to train motor skills; and finally transferring the method to a physical robot. The advantages of this method are that it provides a comprehensive and accurate mathematical description of the end effector motion of a multi-contact point robot, constructs a continuous reward function to improve the continuity of the parameter space, and effectively guides the algorithm to converge quickly to the desired state, making it particularly suitable for generating motor skills based on reinforcement learning.

This application relates to an educational toy, specifically in the field of children's toy technology. The toy includes a fixed frame, a sliding assembly, a ball bearing, a control component, and a receiving component. At least two sliding assemblies are rotatably mounted on the fixed frame, and these assemblies are arranged alternately from top to bottom. The ball bearing is disposed within the sliding assembly. The control component is mounted on the sliding assembly. The receiving component is located below the sliding assembly. This application is simple to install, enhances children's motor skills, and improves sensory coordination. The receiving component allows the ball bearing to be retrieved, preventing it from falling directly from the bottom sliding assembly onto a table or floor. This facilitates ball bearing retrieval, avoids damage to the ball bearing, and prevents difficulties in retrieving the ball bearing due to it falling anywhere, thus solving the problem of lost or misplaced balls in existing educational toys.

The invention relates to an athletic skill recovery interface device (1) comprising: one or more cortical sensors (3; 31, 32,..., 3n), each cortical sensor being capable of detecting a respective cortical signal (SE1, SE2,..., SEn) from a respective portion of the cerebral cortex (C) of the patient (P); a decoding unit (2) associated with the one or more cortical sensors (3; 31, 32,..., 3n) arranged to be operatively connected to the one or more cortical sensors (3; -each of said cortical signals (SE1, SE2,..., SEn) transmitted by each of said cortical signals (SE1, SE2,..., SEn) transmitted by each of said cortical signals (SE1, SE2,..., SEn); one or more muscle electrical stimulators (4) each adapted to a muscle (M) to be stimulated; wherein the decoding unit (2) is configured to process, based on cortical signals received by the one or more cortical sensors (31, 32,..., 3n), the one or more muscle electrical stimulators (4; 41, 42,..., 4n), and one or more actuation signals (SM1, SM2,..., SMn) of the one or more signals (SM1, SM2,..., SMn) of the one or more signals (SM1, SM2,..., SMn). The invention also relates to a method for operating the interface device (1).

1. Name of the designed product: toy (sensory training product - foot pedal rotating disc). 2. Use of the designed product: mainly as a toy for exercising children's motor skills, sports equipment and "sensory training" products. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

A system and method which integrate cognitive science, kinesiology, auditory neuroscience, developmental psychology, and occupational therapy to build a program of progressively complex rhythmic-coordinative cognitive-motor movements designed to engage the foundational motor and cognitive skills that precede learning. Multiple levels of progressively complex motor movements that introduce motor skills are presented in a specific developmental order. The levels progress through systematic cognitive and motor patterns with increasing complexity. Each level progresses to higher complexity that requires mastery of the previous levels. The complexity grows through increasing the cognitive processing requirements, increasing the sensory-motor processing demands and increasing the complexity of the movements.

This invention relates to the fields of virtual reality, digital twins, and artificial intelligence, and provides a method for optimizing fall prevention VR training strategies using digital twin-driven two-layer reinforcement learning. To address the safety concerns in existing fall prevention VR training, this method constructs a pre-trained digital twin environment and a user behavior simulation model, combining real-time multimodal data to generate user state vectors. A two-layer reinforcement learning architecture is then employed, where a strategy optimization generator produces a VR training strategy parameter set based on simulated performance characteristics, and safety verification and optimization are performed through simulation prediction. The optimized VR training strategy parameter set is deployed to a VR training terminal for training, using training feedback data to update the corresponding model, forming a dynamic adaptive optimization closed loop. By achieving personalized strategy generation and pre-verification of safety, this method significantly improves the safety and dynamic adaptability of fall prevention VR training, and can be applied to scenarios such as fall prevention for the elderly and motor skills training.

A system adapted to augment movement behavior of participants in an open motor task or activity includes one or more movement sensors configured to generate output characterizing movements of participants, including relevant interactions with elements and features of the environment and task or activity objects within the environment. A processor is configured to extract and segment a sequence of movement behavior elements from the output, register the movement elements with respect to operating environment, including the task or activity objects, recognize activity state, and determine cues to enhance performance and / or learning. Augmentations include verbal, visual, or haptic or audible signal-based cues that are designed to target critical aspects of movement skills in open motor tasks, including planning sequence of movements toward task goals; coordinating and executing movement elements in the sequence in relationship to relevant task activity events and elements.

To effectively improve the user's athletic ability. [Solution] An information processing system is provided that includes a request unit that requests the user to perform a body movement that causes an object or part of the user's body that moves in conjunction with the user's movements to overlap with a target object, and an evaluation unit that calculates a disorientation evaluation value indicating the degree of swaying of the user's body during the body movement. By having the user use such an information processing system, it becomes possible to effectively improve the user's motor skills.

This invention relates to the field of teaching and assessment of children's motor development and intelligence. A method for constructing a developmental sequence of basic motor skills in children is characterized by the following steps: Step 1, constructing a basic motor skill indicator system for children. This involves establishing inclusion criteria for indicators based on the fundamental nature and developmental perspective of basic motor skills, forming a basic motor skill indicator library, and using the Delphi method to screen and determine the basic motor skills of children aged 3-10 years, thus constructing the basic motor skill indicator system. Step 2, collecting kinematic data for each basic motor skill in the indicator system, then using the Dynamic Time Warping (DTW) algorithm and K-Means clustering to perform unsupervised learning sequence division of the basic motor skills from the collected kinematic data, and finally using sequence frequency curves and the Generalized Partial Scoring Model (GPCM) to verify the sequence effectiveness, thus forming a basic motor skill development sequence system for children. This invention also discloses the indicator system and the basic motor skill development sequence system for children constructed based on this method.

1. The name of the design product: toy (sensory training product - mini running net frame). 2. The use of the design product: mainly as a toy for exercising children's motor skills, sports equipment and "sensory training" products. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

1. The name of the design product: toy (sensory training product - narrow balance board). 2. The use of the design product: mainly as a toy for exercising children's motor skills, sports equipment and "sensory training" products. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

1. Name of the product in this design: Children's Toy (Round Crossing Stone + Balance Bridge). 2. Purpose of this design: This design is intended as a toy for developing children's motor skills, combining the functions of a toy and a sports equipment. 3. The key design features of this product are its shape and overall design. 4. Images or photos that best illustrate the design points: Refer to Figure 4 for usage status. 5. Other situations requiring explanation: This design includes component 1, component 2, component 3 and component 4, wherein component 1 is a circular cross-river stone, component 2 is a first balancing bridge, component 3 is a second balancing bridge, and component 4 is a third balancing bridge.

1. Name of the product in this design: Training Equipment (Sunflower Crossing the River Stone Sensory Integration). 2. Intended use of this design: Toys, sports equipment, and sensory integration training products for improving motor skills. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the designed product: toy (sensory training product - ground rotating disc). 2. Use of the designed product: mainly as a toy for exercising children's motor skills, sports equipment and "sensory training" products. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The invention belongs to the technical field of exoskeleton robots, and discloses an action skill training method, device and equipment based on hybrid drive and a storage medium. According to the method, deviation information is generated by comparing actions of a user with a target track in real time, an active driving unit is cooperatively controlled to provide basic assistance according to the deviation information, and meanwhile a semi-active driving unit is instructed to generate guiding damping force opposite to the deviation direction; the method further has a gradual mechanism for adjusting the assistance level according to the learning progress, and dynamic posture locking can be conducted on the associated joints at the key stage of multi-joint coordination action. According to the scheme, vector type damping guidance aiming at motion deviation is adopted, so that a user moves smoothly when the motion is correct and can obtain clear physical guidance when the motion deviates, the auxiliary learning effect of the user in high-difficulty limb motion is remarkably improved, the standardization and stability of core links in complex motion are ensured, and the user experience is improved. And finally, intelligent and bionic high-level skill teaching is realized.

To provide a system for providing appropriate guidance by analyzing the athletic ability of a child.SOLUTION: The system includes a camera for analyzing the athletic ability of the child, means for acquiring an exercise video of the child, means for transmitting the acquired video to a server, means for analyzing the video data and evaluating the athletic ability of the child in the server, means for generating an exercise tips video or animation for the child based on the evaluation result, means for transmitting the generated video or animation to a terminal, means for presenting the transmitted video or animation to the child, means for generating a support method for a teacher based on the evaluation result of the athletic ability in the server, means for transmitting the generated support method to the terminal, means for displaying the transmitted support method to the teacher, and means for the teacher to refer to the evaluation result.SELECTED DRAWING: Figure 1

This invention relates to the field of computer vision technology, and provides a standard judgment method and scoring device for basic human motor skills. The method includes: recording relevant information of key points of the human body; identifying the person with the smallest change in human body indicator features in two adjacent frames as the same person; recording the position information of the target object; processing the relevant information of the key points and the position information of the target object to obtain action detail information; comparing and analyzing the action detail information with the detail requirements, and synchronously displaying the preliminary evaluation results on the image; after completing the processing and analysis of all frames of the video, obtaining the final evaluation result corresponding to each detail requirement; the evaluation result of the action standard is derived from the final evaluation result of the corresponding detail requirement through a bitwise AND operation; this invention improves the accuracy of scoring by breaking down each action standard into different detail requirements; and makes sports training more targeted and scientific by judging human movements in real time.