Bayesian Analysis of Sub-plantar Ground Reaction Force with BSN

The assessment of Ground Reaction Forces (GRF) is important for gait analysis for sports, pathological gaits and rehabilitation. To capture GRF, force plates and foot pressure insoles are commonly used. Due to cost and portability issues, such systems are mostly limited to lab-based studies. Long-te...

Full description

Saved in:
Bibliographic Details
Published in2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks pp. 133 - 137
Main Authors Lo, B., Guang-Zhong Yang, Pansiot, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Bayesian methods
Bayesian Network
Biomechanics
Biosensors
Costs
Ear
Foot
Force sensors
Gait Analysis
Ground Reaction Force
Humans
Pathology
Sensor systems
Shock waves
Online AccessGet full text

Cover

More Information
Summary:The assessment of Ground Reaction Forces (GRF) is important for gait analysis for sports, pathological gaits and rehabilitation. To capture GRF, force plates and foot pressure insoles are commonly used. Due to cost and portability issues, such systems are mostly limited to lab-based studies. Long-term, continuous and pervasive measurement of GRF is not feasible. This paper presents a novel concept of using an ear-worn sensor for pervasive gait analysis. By emulating the human vestibular system, the bio-inspired design sensor effectively captures the shock wave generated by the GRF. A hierarchical Bayesian network is developed to estimate the plantar force distribution from the ear sensor signals. The accuracy of the ear sensor for detecting GRF is demonstrated by comparing the results with a high-accuracy commercial foot pressure insole system.
ISBN:9780769536446
0769536441
ISSN:2376-8886
DOI:10.1109/BSN.2009.38