Multi-user motion recognition using sEMG via discriminative canonical correlation analysis and adaptive dimensionality reduction.
Jinqiang WangDianguo CaoYang LiJiashuai WangYuqiang WuPublished in: Frontiers Neurorobotics (2022)
Keyphrases
- multi user
- canonical correlation analysis
- dimensionality reduction
- dimensionality reduction methods
- canonical correlations
- feature extraction
- virtual environment
- unsupervised learning
- multivariate statistical
- principal component analysis
- virtual world
- subspace learning
- augmented reality
- user interface
- single user
- multi granularity
- high dimensional
- feature selection
- data representation
- least squares
- high dimensionality
- optical flow
- multiple users
- low dimensional
- linear discriminant analysis
- image sequences
- feature space
- equivalence relationship
- semi supervised
- data sets
- partial least squares
- kernel cca
- discriminant analysis
- high dimensional data
- mutual information
- pattern recognition
- random projections
- preprocessing step
- manifold learning
- principal components
- nearest neighbor
- moving objects
- preprocessing