TY - GEN
T1 - Implementing a SoC-FPGA based acceleration system for on-board SVM training for robotic transtibial prostheses
AU - Mai, Jingeng
AU - Xu, Dongfang
AU - Li, Haolin
AU - Zhang, Shichang
AU - Tan, Jiaying
AU - Wang, Qining
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - This paper presents an acceleration system for on-board support vector machine (SVM) model training for robotic transtibial prosthesis based on system on chip with field-programmable gate array (SoC-FPGA) hardware. A hardware prototype was developed and SVM-based model training algorithm was implemented with high-level synthesis technology. Experiments on a transtibial amputee subject demonstrated that the proposed system provided good speedups over ARM-based implementation for on-board training in six locomotion identification tasks (standing, level-ground walking, ramp ascent, ramp descent, stair ascent, stair descent). Meanwhile, the additional power consumption was not significant and acceptable.
AB - This paper presents an acceleration system for on-board support vector machine (SVM) model training for robotic transtibial prosthesis based on system on chip with field-programmable gate array (SoC-FPGA) hardware. A hardware prototype was developed and SVM-based model training algorithm was implemented with high-level synthesis technology. Experiments on a transtibial amputee subject demonstrated that the proposed system provided good speedups over ARM-based implementation for on-board training in six locomotion identification tasks (standing, level-ground walking, ramp ascent, ramp descent, stair ascent, stair descent). Meanwhile, the additional power consumption was not significant and acceptable.
UR - https://www.scopus.com/pages/publications/85062498317
U2 - 10.1109/RCAR.2018.8621732
DO - 10.1109/RCAR.2018.8621732
M3 - 会议稿件
AN - SCOPUS:85062498317
T3 - 2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
SP - 150
EP - 155
BT - 2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
Y2 - 1 August 2018 through 5 August 2018
ER -