5 results about "Motor processes" patented technology

System and method for guiding a user in activating biological motor units (MUs) are disclosed. A method includes presenting instructions for performing a movement associated with activation of MUs, and graphical elements associated with the activation of the MUs. The method includes, in response to detecting an activation of the MUs, determining, based on biopotential sensor data captured during performance of the movement an additional movement to be performed by the user and a change to the graphical elements. The method includes presenting additional instructions for performing the additional movement, and the change to the graphical elements. The method includes, in response to detecting an additional activation of the MUs, in accordance with a determination that additional biopotential sensor data captured during performance of the additional movement satisfies a threshold, associating the additional biopotential sensor data with biopotential-based gestures, and presenting an additional change to the graphical elements.

The application discloses a device and method for detecting mouse motion learning behavior, and belongs to the field of animal behavior detection. The device comprises a mouse motion runway, a dark box at the terminal of the runway, and a camera for recording the motion process of the mouse. The runway is provided with a plurality of replaceable metal rods in the transverse direction. The metal rods are composed of any one or both of white metal rods and black metal rods. The runway composed of the black metal rods and the white metal rods is provided with any one of the metal rods for electrification, and the electrified metal rods are discontinuously arranged. The mouse is shocked by stepping on the electrified metal rods. The method of the application replaces the metal rods to form different runways, trains the mouse to reach the dark box through the different runways, and obtains the motion learning behavior ability of the mouse at different stages. The process of motion learning is simulated through programmed training. The role of the brain regions in the process of motion learning behavior is determined by regulating the regions of the substantia nigra or the striatum corresponding to the motion learning.

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.

This invention relates to a method and system for motor parameter tuning. The method includes: inducing a motor to perform a first tuning movement according to predetermined first configuration conditions to automatically redetermine the motor's tuning parameter values; acquiring at least one performance evaluation data of the motor based on the tuning parameter values, and determining whether the performance evaluation data meets the corresponding preset target; when the performance evaluation data does not meet the corresponding preset target, inducing the motor to perform a second tuning movement according to second configuration conditions and tuning parameter values, acquiring the motor's performance evaluation data during the second tuning movement, and adjusting the motor's tuning parameter values ​​according to the performance evaluation data to make the performance evaluation data meet the corresponding preset target; and taking the tuning parameter value when all performance evaluation data meet the corresponding preset target as the target tuning result. In some implementations, this method can improve the motor tuning effect.

The invention discloses a gesture and force synchronous recognition method for realizing nerve driving through feature enhancement based on VMD denoising processing, and the method comprises the steps: collecting an upper limb muscle activity signal in the motion process of a subject, and carrying out the denoising processing of the upper limb muscle activity signal, so as to obtain an initial signal; decomposing the initial signal into a motion unit discharge sequence, and extracting data features in the motion unit discharge sequence to obtain neural driving features corresponding to the motion process; enhancing the neural drive features among different force levels using a geodesic flow accounting method to obtain enhanced features; and inputting the enhanced features into a pre-trained classifier to identify corresponding gestures and force levels. The invention further provides a gesture and force synchronous recognition device. According to the method provided by the invention, high precision and strong robustness in gesture control of the unmanned aerial vehicle can be realized, and the problems that noise interferes with real signals and gestures and force level interfere with each other in signal acquisition are solved.