Abstract

With the rapid development of computer technology and the arrival of the era of artificial intelligence, human movement recognition technology as a new technical direction has gradually become a research upsurge. Human movement recognition technology through the collection of human body action information as the basis to understand human behavior, in many industries and fields play a more important role. In the modern application of health care, human movement recognition technology plays an indispensable role. By fixing the sensor in some parts of the human body and analyzing the human movement with the information collected by the sensor, the human body recognition technology is studied, which is conducive to meet its further integration and development in the field of health care in the future. This report will take the data set collected from Body Attack Fitness as an example to study six kinds of human movement recognition, so as to explore the application of machine learning in human movement recognition.