5 results about "Human system" patented technology

The invention provides a dynamic walking exoskeleton control method and system based on man-machine complementary optimization, and the method comprises the steps: defining the step height and normal contact force of a contact point, and constructing a nonlinear complementary problem constraint and model; defining quantitative targets of nine types of motion tasks including contact point centroid position tracking, centroid linear velocity tracking, foot yaw angle alignment, frame attitude tracking, base quaternion derivative regularization, contact force regularization, joint regularization, swing height control and contact control regularization, and establishing a multi-task target function; a static nonlinear complementary problem is coupled with exoskeleton continuous dynamics, and a coupling system is constructed; solving the optimization objective function by adopting a neurodynamics algorithm to obtain the optimal control input of the exoskeleton-human body system; and the control input mapping obtained through optimization is converted into a driving instruction of a robot actuator, and a motion control closed loop is completed. According to the method, the complex movement requirements under strong coupling constraint interaction of the humanoid and the robot can be more accurately met.

The application provides a dynamic walking exoskeleton control method and system based on human-computer complementary optimization, comprising the following steps: defining the step height of the contact point, the normal contact force, constructing the nonlinear complementary problem constraint and model; defining the centroid position tracking of the contact point, the centroid linear velocity tracking, the foot yaw angle alignment, the frame attitude tracking, the base quaternion derivative regularization, the contact force regularization, the joint regularization, the swing height control, the contact control regularization, 9 types of motion task quantization targets, and establishing a multi-task objective function; coupling the static nonlinear complementary problem with the exoskeleton continuous dynamics to construct a coupled system; solving the optimization objective function by using a neural dynamics algorithm to obtain the optimal control input of the exoskeleton-human system; and mapping and converting the control input obtained by optimization into the driving instructions of the robot executor to complete the motion control closed loop. The application can more accurately adapt to the complex motion requirements under the human-robot strongly coupled constraint interaction.

This document provides the MD codes, MD DYNA codes, MD ASA system, and Next Human system, as well as methods for using them in the diagnosis and treatment of aesthetic conditions or disorders.

The application discloses a kind of human system overall emergent property measurement method of fusion integrated learning and score card, specifically include: (1) index system construction based on analytic hierarchy process, (2) abnormal feature extraction of time series signal, (3) physical examination dataset feature dimension expansion, (4) human system overall emergent property measurement method based on "integrated learning-score card": for the index data obtained after the above processing, integrated learning model is constructed to process ten subsystems respectively, to obtain the health status of subsystem and the contribution weight to overall health.For the multi-source heterogeneous data such as physical examination static index and time series physiological signal generated by wearable device, a health evaluation scheme combining static and dynamic indicators is proposed;Under the realistic condition that the physical examination data is incomplete, the rationality of feature generation is ensured, and the prediction performance of the model and the interpretability of the score result are also considered, which is convenient for actual health management and risk stratification application.

The invention belongs to the technical field of virtual interaction, and relates to an interaction system in a human-machine-virtual human mode, which comprises a data acquisition module used for acquiring multi-modal data; the multi-modal data comprises voice data, text data, image data or video stream data; the intention recognition module is used for performing intention recognition on the multi-modal data to obtain an intention recognition result; the intention recognition comprises secret language recognition, question and answer library recognition and large language model recognition; and the virtual human module is used for identifying the identity of the user before acquiring the multi-modal data, inputting the identity information as a cue word into a large language model to adjust an interaction mode, and rendering an intention identification result in a target format in a text streaming manner on a virtual human page. According to the method, the virtual human system driven by the large language model is used as a core medium to interact with a full-stack platform and multiple devices, and rapid and natural operation experience and the capability of efficiently processing point tasks are provided.