Human Movement Recognition Based on Machine Learning
基于机器学习的人体运动识别

摘要

随着计算机技术的飞速发展和人工智能时代的到来，人体动作识别技术作为新的技术方向逐渐成为研究热潮。人体动作识别技术通过采集人体动作信息作为理解人体行为的基础，在很多行业和领域发挥着越来越重要的作用。在现代医疗健康应用中，人体动作识别技术起着不可或缺的作用。通过将传感器固定在人体某些部位，利用传感器采集的信息对人体动作进行分析，对人体识别技术进行研究，有利于满足其未来在医疗健康领域的进一步融合发展。本报告将以Body 以Attack Fitness为例对六种人体动作识别进行研究，从而探索机器学习在人体动作识别中的应用。

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.