Enhancing Shoulder Pre-Movements Recognition Through EEG Riemannian Covariance Matrices For a BCI-based Exoskeleton.
Yunier Prieur-ColomaRamón Amado Reinoso-LeblanchLeondry Mayeta-RevillaDenis Delisle RodríguezTeodiano Freire Bastos FilhoAlberto López DelisLisset Balart-FernándezTiago H. FalkPublished in: ICHMS (2020)
Keyphrases
- covariance matrices
- brain computer interface
- riemannian metric
- motor imagery
- log euclidean
- covariance matrix
- riemannian manifolds
- lie group
- maximum likelihood
- signal processing
- single trial
- brain signals
- gaussian distribution
- vector space
- gaussian mixture model
- gaussian mixture
- event related potentials
- distance measure
- hand movements
- evoked potentials
- tensor field
- spinal cord injury
- eeg signals
- feature vectors
- hand gestures
- pattern recognition
- valued data
- diffusion tensor
- eeg data
- em algorithm
- feature extraction
- positive definite
- affine invariant
- euclidean space