@inproceedings{68695cfe423541bd968583c9c67898fe,
title = "A real-time intent recognition system based on SoC-FPGA for robotic transtibial prosthesis",
abstract = "This paper presents the design and implementation of a real-time intent recognition hardware system for robotic transtibial prosthesis, based on system-on-chip and field-programmable gate array (SoC-FPGA). The proposed system integrates the software programmability of an ARM-based processor with the hardware programmability of an FPGA. A hardware prototype was developed and a SVM-based pattern recognition algorithm was implemented with high-level synthesis technology. Experiments on a transtibial amputee subject demonstrated that the proposed system costs shorter decision time in identifying four lower-limb movement phases (sitting, standing, sit-to-stand and stand-to-sit).",
keywords = "Real-time intent recognition, Robotic transtibial prosthesis, SVM, SoC-FPGA",
author = "Jingeng Mai and Zhendong Zhang and Qining Wang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 10th International Conference on Intelligent Robotics and Applications, ICIRA 2017 ; Conference date: 16-08-2017 Through 18-08-2017",
year = "2017",
doi = "10.1007/978-3-319-65289-4\_27",
language = "英语",
isbn = "9783319652887",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "280--289",
editor = "Honghai Liu and YongAn Huang and Hao Wu and Zhouping Yin",
booktitle = "Intelligent Robotics and Applications - 10th International Conference, ICIRA 2017, Proceedings",
}