摘要
随着科技的发展,通过对人的日常运动状态的监测来进行对个人人体身体的了解的需求逐步扩大。由于加速度现象在人体的运动中时刻存在,所以基于加速度传感器提出人体运动姿态识别监测的算法程序具有一定的实用价值。此项研究通过确定算法、统计特征的提取实现人体运动状态的初步判别,最后实现了较为精确的状态识别以及步数监测。
With the development of science and technology,the demand for understanding individual human body through monitoring the daily movement of people is gradually expanding.Because acceleration phenomenon always exists in human motion,the algorithm program of human motion gesture recognition and monitoring based on acceleration sensor has certain practical value.In this study,the preliminary discrimination of human motion state is realized through the determination algorithm and the extraction of statistical features.Finally,more accurate state identification and step number monitoring are realized.
作者
徐冉
许有熊
郑煊宇
赵海鑫
王杰
XU Ran;XU You-xiong;ZHEN Xuan-yu;ZHAO Hai-xin;WANG Jie(Nanjing Institute of Technology,Nanjing 211167,China)
出处
《电脑与信息技术》
2022年第2期46-48,共3页
Computer and Information Technology
关键词
加速度传感器
状态识别
特征的提取
Acceleration sensor
State identification
Feature extraction