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Human Motion Capture Algorithm Based on Inertial Sensors
Joint Authors
Li, Jie
Chen, Pengzhan
Kuang, Ye
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-23
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
On the basis of inertial navigation, we conducted a comprehensive analysis of the human body kinematics principle.
From the direction of two characteristic parameters, namely, displacement and movement angle, we calculated the attitude of a node during the human motion capture process by combining complementary and Kalman filters.
Then, we evaluated the performance of the proposed attitude strategy by selecting different platforms as the validation object.
Results show that the proposed strategy for the real-time tracking of the human motion process has higher accuracy than the traditional strategy.
American Psychological Association (APA)
Chen, Pengzhan& Kuang, Ye& Li, Jie. 2016. Human Motion Capture Algorithm Based on Inertial Sensors. Journal of Sensors،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1110470
Modern Language Association (MLA)
Chen, Pengzhan…[et al.]. Human Motion Capture Algorithm Based on Inertial Sensors. Journal of Sensors No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1110470
American Medical Association (AMA)
Chen, Pengzhan& Kuang, Ye& Li, Jie. Human Motion Capture Algorithm Based on Inertial Sensors. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1110470
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110470