Associate Professor
Supervisor of Master's Candidates
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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.