Summary
Smart Info-Media Systems in Asia
2019
Session Number:RS1
Session:
Number:RS1-6
A Relationship between Joint Synergy and Footstep
Shin’ya Okajima, Ken Sasakura, Akitoshi Itai,
pp.93-97
Publication Date:2019/9/4
Online ISSN:2188-5079
Summary:
We can often understand a pedestrian from footsteps in a limited condition since a footstep includes characteristics determined by the gait, the footwear and the floor. Footsteps are applied to identify a footwear, gender, generation, etc., using peak of LPC envelope. In the conventional research, the detection rate of pedestrian using footstep is 90%. This rate is not enough to achieve the recognition system. The gait includes useful information for personal identification, age and gender. We consider that the gait affects footstep when the pedestrian walks in usual condition. However, the relationship between footstep and gait, which consists of walking motion and skeleton, is not clear. In this paper, the relationship between the motion of the entire lower leg and footstep is analyzed by using joint synergy. We focused on UCM (Uncontrolled Manifold) analysis which represents joint synergy estimated by angles of leg joint. The result shows that the joint synergy is related to the occurrence of impact sound of toe. The joint synergy is useful for clarifying the relationship between walking motion and footsteps.