Gait pattern estimation for intelligent bionic leg

Author

Wang, Fei ; Wen, Shiguag ; Wu, Chengdong

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang

fYear

2008

fDate

2-4 July 2008

Firstpage

2216

Lastpage

2221

Abstract

Intelligent bionic leg (IBL) can restitute walking function for above-knee amputees. To realize symmetrical stable walking, IBL must be able to perceive the movement intention of amputee so as to actuate its knee joint accordingly when walking on various terrains with different cadences and stride length. Gait pattern estimation schemes using thigh kinematic data based on two classical pattern recognition techniques (Principal Component Analysis, PCA and Artificial Neural Networks, ANNs) for IBL are then preliminarily investigated. Simulation results demonstrated the correctness and effectiveness of the proposed schemes.

Keywords

biomechanics; gait analysis; medical computing; pattern recognition; principal component analysis; prosthetics; above-knee amputees; gait pattern estimation; intelligent bionic leg; pattern recognition techniques; walking function; Artificial intelligence; Automatic control; Hip; Humans; Kinematics; Knee; Leg; Legged locomotion; Pattern recognition; Principal component analysis; Intelligent bionic leg; artificial; gait pattern estimation; neural networks; pattern recognition; principal component analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597717

Filename

4597717