|
个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Professor, Head of Lab of Intelligent System
其他任职：自动化技术研究所所长
性别：男
毕业院校：英国杜伦大学
学位：博士
所在单位：控制科学与工程学院
学科：控制理论与控制工程. 模式识别与智能系统. 检测技术与自动化装置
办公地点：智能系统课题组
课题组网址http://lis.dlut.edu.cn/
联系方式：0411-84709010 wangzl@dlut.edu.cn
电子邮箱：wangzl@dlut.edu.cn
Estimate Spatial-Temporal Parameters of Human Gait Using Inertial Sensors
点击次数：
论文类型：会议论文
发表时间：2015-06-09
收录刊物：EI、CPCI-S、SCIE、Scopus
页面范围：1883-1888
关键字：gait; IMU; gait parameters; adaptive threshold; multi-sensor fusion
摘要：Walking is the foundation of the people's social life and gait refers to the gesture when a person is walking. And gait can reflect people's muscle strength, balance ability, coordination ability and spatial cognitive ability, etc. Inertial Measuring Units (IMU) can be used to estimate people's gait parameters, coupled with gait phase detection, orientation estimation and position estimation. A novel phase detection algorithm based on adaptive threshold is proposed in this paper, and combining with the complementary filter and Zero Velocity Update Technology (ZUPT), gait parameters of ten subjects were computed, including stride length, gait phase and walking velocity. In the experimental section, the computed result is compared with the ground truth, and the experimental results show that this method is feasible in gait analysis.