Performance analysis of hardware acceleration for locomotion mode recognition in robotic prosthetic control

This paper aims to analyze computing performance of an on-board locomotion mode recognition system which was designed for robotic transtibial prosthesis. A hard-ware prototype based on field-programmable gate array was developed. Several algorithms, including support vector machine, back-propagation...

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Bibliographic Details
Published in2018 IEEE International Conference on Cyborg and Bionic Systems (CBS) pp. 607 - 611
Main Authors Mai, Jingeng, Chen, Wanwen, Zhang, Shichang, Xu, Dongfang, Wang, Qining
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2018
Subjects
Acceleration
Hardware
Pattern recognition
Prosthetics
Robot sensing systems
Support vector machines
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Summary:This paper aims to analyze computing performance of an on-board locomotion mode recognition system which was designed for robotic transtibial prosthesis. A hard-ware prototype based on field-programmable gate array was developed. Several algorithms, including support vector machine, back-propagation neural network, quadratic discriminant analysis and linear discriminant analysis, were implemented on board. Experiments on a transtibial amputee subject demonstrated that the proposed system can provide satisfactory acceleration effects on the four applied algorithms.
DOI:10.1109/CBS.2018.8612257