Authors:
Xiaolei Lv
1
;
Yi Wei
2
and
Shihong Xia
3
Affiliations:
1
Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, China
;
2
Institute of Computing Technology and Chinese Academy of Sciences, China
;
3
Institute of Computing Technology and Chinese Academy of Science, China
Keyword(s):
Gait Event, Heel Strike, Toe Off, Gait Cycle, Kinematic Detection.
Related
Ontology
Subjects/Areas/Topics:
Gait and Posture
;
Physiotherapy and Rehabilitation
;
Signal Processing and Motor Behavior
;
Sport Science Research and Technology
;
Sports Medicine and Support Technology
Abstract:
The detection of gait events in locomotion, such as toe-off and heel-strike, provides a basic criterion for the
division of a step cycle. This paper presents a new simple method for kinematic detection of gait events using
kinematic data captured from only one marker attached to heel. We analyze the geometric distribution of
the markers spatial positions over a small window of frames, and find there are new characteristics on the
curve. These characteristics are used to detect the gait events for normal gaits. True errors (mean±standard
deviation) in the experiments on normal gaits are 8±8 ms for heel-strike and 12±20 ms for toe-off, where
above 91% of subjects’ heel strike events can be determined, with at most one frame (8.3 ms) error away from
the ground reaction force (GRF) results.