Multi-part Detection Of Human Motion And Its Application

As socialism with Chinese characteristics has entered a new era,the principal contradiction facing Chinese society has evolved.What we now face is the contradiction between unbalanced and inadequate development and the people's ever-growing needs for a better life.With the development of China's economy and society and the improvement of science and technology,people's requirements for health care,intelligent equipment,green energy resource and other fields are becoming higher and higher.The research in this paper is based on multi-part measurement of human motion,which has broad prospects and practical value.The research of this paper is divided into four parts: multi-part measurement of human motion,inverse simulation of human motion,performance evaluation of backpack performance and identification of abnormal gait.According to the characteristics of human motion,the appropriate sensors are selected in the human multi-part measurement system,and the corresponding algorithm is designed to obtain the displacement of the center of gravity,knee joint angle and plantar pressure.The reverse simulation system based on the data collected by the measurement system designs a set of device to simulate human motion.The device is measured using the same detection method to verify the effectiveness of the device.The backpack performance evaluation system is aimed at the weighted backpack and the index is proposed to guide the design of the backpack to reduce the burden and improve the user's comfort and weight capacity.The gait abnormality recognition system uses artificial intelligence models to learn the acceleration signals of human walking in different situations,recognizes normal and abnormal gait,and achieves a high accuracy rate.The research results of this paper can be applied to many fields,such as home-based medical treatment,human body-self generation,combat backpacks,etc.,to improve the quality of people's life and help the development of the country.