基于压力传感器及支持向量机的人体运动识别系统  

Human motion recognition system based on pressure sensor and support vector machine

作　　者：王晋[1] WANG Jin(Xi＇an Technological University,Xi＇an 710021,China)

机构地区：[1]西安工业大学,陕西西安710021

出　　处：《电子设计工程》2018年第18期92-95,101,共5页Electronic Design Engineering

基　　金：陕西省社科基金项目(2016Q022)

摘　　要：针对现代人体运动状态检测过程中设备需求较为严格,并且预测的精度比较低。那么就是压力传感器和支持向量机实现了人体运动识别系统的设计。此人体运动识别系统主要是通过移动终端设备中的传感器得到人体运动的数据,并且通过支持向量机实现得到数据集合运动状态的建模和预测,最终能够有效实现低设备需求及高精准度人体运动状态检测,并且最后还利用实验对其有效性进行了全面的验证。In view of the modern human body movement state detection process,the equipment demand is more strict,and the prediction accuracy is relatively low. Then the pressure sensor and support vector machine implement the design of the human motion recognition system. The human motion recognition system is mainly human motion data obtained by sensors in mobile devices,and through the support vector machine to achieve the modeling and prediction of the data set＇s state of motion,finally can effectively achieve the low equipment requirements and high precision motion detection,and finally by experiment conducted a comprehensive verification of the effectiveness.

关 键 词：压力传感器 支持向量机 人体运动识别 状态检测 

分 类 号：TN99[电子电信—信号与信息处理]