EMG signal-based gait phase recognition using a GPES library and ISMF.
Jae-Hwan RyuByeong-Hyeon LeeDeok-Hwan KimPublished in: EMBC (2016)
Keyphrases
- radar signal
- emg signals
- signal processing
- frequency domain
- phase information
- signal detection
- non stationary
- gait recognition
- human gait recognition
- neural network
- radio frequency
- fourier domain
- high frequency
- denoising
- gaussian white noise
- human movement
- biped robot
- original signal
- phase difference
- legged robots
- single phase
- human recognition
- human gait
- impulse response
- pattern recognition