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Implementing an FPGA system for real-time intent recognition for prosthetic legs
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
doi:10.1145/2228360.2228394
dblp:conf/dac/ZhangHY12
fatcat:qkns7bttgnbxzjrk57s2ly2ea4