DocumentCode :
1868245
Title :
Intelligent shoes for abnormal gait detection
Author :
Chen, Meng ; Huang, Bufu ; Xu, Yangsheng
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong
fYear :
2008
fDate :
19-23 May 2008
Firstpage :
2019
Lastpage :
2024
Abstract :
In this paper we introduce a shoe-integrated system for human abnormal gait detection. This intelligent system focuses on detecting the following patterns: normal gait, toe in, toe out, oversupination, and heel walking gait abnormalities. An inertial measurement unit (IMU) consisting of three-dimensional gyroscopes and accelerometers is employed to measure angular velocities and accelerations of the foot. Four force sensing resistors (FSRs) and one bend sensor are installed on the insole of each foot for force and flexion information acquisition. The proposed detection method is mainly based on Principal Component Analysis (PCA) for feature generation and Support Vector Machine (SVM) for multi-pattern classification. In the present study, four subjects tested the shoe-integrated device in outdoor environments. Experimental results demonstrate that the proposed approach is robust and efficient in detecting abnormal gait patterns. Our goal is to provide a cost-effective system for detecting gait abnormalities in order to assist persons with abnormal gaits in the developing of a normal walking pattern in their daily life.
Keywords :
accelerometers; biomedical measurement; gait analysis; gyroscopes; patient diagnosis; 3D gyroscopes; accelerometers; angular velocities; foot accelerations; force sensing resistors; heel walking gait abnormality; human abnormal gait detection; inertial measurement unit; intelligent shoes; intelligent system; oversupination abnormality; shoe-integrated system; toe in abnormality; toe out abnormality; Foot; Footwear; Force sensors; Humans; Intelligent sensors; Intelligent systems; Legged locomotion; Principal component analysis; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location :
Pasadena, CA
ISSN :
1050-4729
Print_ISBN :
978-1-4244-1646-2
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2008.4543503
Filename :
4543503
Link To Document :
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