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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
赵红宇

Associate Professor
Supervisor of Master's Candidates


Gender:Female
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:控制科学与工程学院
Discipline:Control Theory and Control Engineering. Pattern Recognition and Intelligence System
E-Mail:zhaohy@dlut.edu.cn
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Current position: Home >> Scientific Research >> Paper Publications

Stance-Phase Detection for ZUPT-Aided Foot-Mounted Pedestrian Navigation System

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Indexed by:Journal Papers

Date of Publication:2015-12-01

Journal:IEEE-ASME TRANSACTIONS ON MECHATRONICS

Included Journals:SCIE、EI、Scopus

Volume:20

Issue:6

Page Number:3170-3181

ISSN No.:1083-4435

Key Words:Inertial measurement unit (IMU); inertial navigation system (INS); pedestrian navigation system (PNS); stancephase detection; zero velocity updates (ZUPT)

Abstract:Zero velocity updates (ZUPT) is an effective way for the foot-mounted inertial pedestrian navigation systems. For the ZUPT technique to work properly, it is necessary to correctly detect the stance phase of each gait cycle. An adaptive stance-phase detection method is proposed based solely on an inertial sensor, which deals with the measurement fluctuations in swing and stance phases differently, and applies a clustering algorithm to partition the potential gait phases into true and false clusters, thereby yielding a time threshold to eliminate the false gait phases. The roles of the detection parameters and the relationship between them are analyzed to offer some suggestions for parameter tuning. Detection performance is evaluated with multisubject experimental data collected at varying walking speeds. The evaluation results show that the proposed detection method performs well in the presence of measurement fluctuations, which can make the detection of stance phases more robust and the choice of detection parameters more flexible.