Implementing an FPGA system for real-time intent recognition for prosthetic legs

Xiaorong Zhang, He Huang, Qing Yang
2012 Proceedings of the 49th Annual Design Automation Conference on - DAC '12  
This paper presents the design and implementation of a cyber physical system (CPS) for neural-machine interface (NMI) that continuously senses signals from a human neuromuscular control system and recognizes the user's intended locomotion modes in real-time. The CPS contains two major parts: a microcontroller unit (MCU) for sensing and buffering input signals and an FPGA device as the computing engine for fast decoding and recognition of neural signals. The real-time experiments on a human
more » ... ct demonstrated its real-time, self-contained, and high accuracy in identifying three major lower limb movement tasks (level-ground walking, stair ascent, and standing), paving the way for truly neuralcontrolled prosthetic legs.
doi:10.1145/2228360.2228394 dblp:conf/dac/ZhangHY12 fatcat:qkns7bttgnbxzjrk57s2ly2ea4