Gait pattern-aware displacement estimation in micro-sensor motion capture

Micro-sensor motion capture (MMocap) systems do not have external references. It is challenging to estimate the displacement of human CoM (Center of Mass). This is especially true when gait pattern changes. This paper presents a novel gait pattern-aware algorithm that aims to estimate the displaceme...

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Bibliographic Details
Published in2014 IEEE International Conference on Communiction Problem-solving pp. 645 - 649
Main Authors Shengyun Yao, Yingfei Sun, Guanhong Tao, Jiateng Hou, Lang Wang, Jiankang Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2014
Subjects
Acceleration
Estimation
Foot
Joints
Legged locomotion
Motion segmentation
Sensors
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Summary:Micro-sensor motion capture (MMocap) systems do not have external references. It is challenging to estimate the displacement of human CoM (Center of Mass). This is especially true when gait pattern changes. This paper presents a novel gait pattern-aware algorithm that aims to estimate the displacement of human CoM during walking and jumping for MMocap systems. Firstly, we fuse the acceleration of sensors and hierarchical information of the body to detect the gait patterns. Secondly, according to the detected patterns, the displacement is adaptively calculated. 1) During walking the displacement is calculated by the extension and flexion angles of the lower body joints. 2) During jumping the displacement is calculated by integrating the acceleration of the root joint. The experimental results have demonstrated that our algorithm estimates the displacements accurately during both walking and jumping.
ISBN:1479942464
9781479942466
DOI:10.1109/ICCPS.2014.7062367