Open AccessHuman body moderate training control method based on flexible mechanical characteristic analysis
Author(s) -
Tao Wu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022180
Subject(s) - kinematics , stability (learning theory) , training (meteorology) , computer science , human dynamics , jumping , control (management) , human body , human body model , control theory (sociology) , simulation , artificial intelligence , machine learning , physiology , physics , classical mechanics , meteorology , biology
It has important application value to the human body moderate training control in the sports training guidance and the sports training big data analysis and so on. Aiming at the problem that the current master-slave arm motion data acquisition method is not accurate enough for human body moderate training and control, a human body appropriate training control method based on flexible mechanical characteristics analysis is proposed. Firstly, the flexible mechanical data analysis and kinematic attitude space reconstruction of human body are carried out. Then the motion state equation is constructed to sample the human body moderate training control attitude data and analyze the fusion of flexible mechanical features. The human body moderate training control is realized. Finally, the simulation results show that the modeling method has good stability, high accuracy of mechanical parameter estimation, and good reconstruction ability for human movement, such as running, jumping, gymnastics and so on, and the simulation results show that the modeling method has good stability and accuracy for human body moderate training and control, and the accuracy of mechanical parameter data estimation is high.