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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Wang Zhelong

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Main positions:Professor, Head of Lab of Intelligent System
Other Post:自动化技术研究所所长
Gender:Male
Alma Mater:University of Durham
Degree:Doctoral Degree
School/Department:School of Control Science and Engineering
Discipline:Control Theory and Control Engineering. Pattern Recognition and Intelligence System. Detection Technology and Automation Device
Business Address:Lab of Intelligent System
http://lis.dlut.edu.cn/

Contact Information:0411-84709010 wangzl@dlut.edu.cn
E-Mail:wangzl@dlut.edu.cn
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Estimate Spatial-Temporal Parameters of Human Gait Using Inertial Sensors

Hits : Praise

Indexed by:会议论文

Date of Publication:2015-06-09

Included Journals:EI、CPCI-S、SCIE、Scopus

Page Number:1883-1888

Key Words:gait; IMU; gait parameters; adaptive threshold; multi-sensor fusion

Abstract: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.