fNIRS motion artifact correction for overground walking using entropy based unbalanced optode decision and wavelet regression neural network.
Gihyoun LeeSang Hyeon JinSeung Hyun LeeBerdakh AbibullaevJinung AnPublished in: MFI (2017)
Keyphrases
- neural network
- humanoid robot
- human walking
- human gait
- wavelet neural network
- motion analysis
- space time
- motion model
- regression model
- motion estimation
- method based on wavelet
- image sequences
- artificial neural networks
- decision makers
- denoising
- support vector regression
- neural network model
- motion field
- wavelet transform
- back propagation
- optical flow
- multiresolution
- self organizing maps
- ridge regression
- decision making
- human motion
- prediction model
- generalized regression neural network
- regression problems
- gait analysis
- information theory
- decision rules
- wavelet coefficients
- moving objects
- multiscale
- motion detection
- camera motion
- motion capture
- control system
- computational complexity
- feature extraction
- computer vision
- genetic algorithm