Title
A Probabilistic Walk Path Model Focused On Foot Landing Points And Human Step Measurement System
Abstract
This paper describes a model of human walking and the development of the step measurement system. We have used a probabilistic method to make the model that focuses on the relationship between the orientation of the foot placement and where the other foot will land. We make a hypothesis that the foot turns to where someone wants to go in walking naturally to make the model. An experiment using a motion capture system (Vicon Motion Systems, 200Hz) was conducted to prove the validity of the hypothesis and shows that we can predict the next landing point using the orientation of the foot. Also it indicates we can generate likely walk paths stochastically. The step measurement system we developed does not require anything but a motion capture system. Experiments show that this system can detect the timing of heel contact and toe lift-off with high accuracy.
Year
DOI
Venue
2006
10.1109/ICSMC.2006.384367
2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS
Keywords
Field
DocType
probability,measurement system,motion estimation,motion capture,gait analysis,path planning,probabilistic method
Motion planning,Motion capture,Computer vision,System of measurement,Computer science,Simulation,Probabilistic method,Gait analysis,Artificial intelligence,Path analysis (statistics),Probabilistic logic,Motion estimation
Conference
ISSN
Citations 
PageRank 
1062-922X
1
0.39
References 
Authors
1
4
Name
Order
Citations
PageRank
Takehiro HORIUCHI110.39
Masatomo KANEHARA210.39
Satoshi KAGAMI31285160.65
Yoshihiro EHARA4152.30