A manifold learning approach for gesture recognition from micro-Doppler radar measurements.
Eric MasonHrushikesh N. MhaskarAdam GuoPublished in: Neural Networks (2022)
Keyphrases
- gesture recognition
- manifold learning
- radar signal
- signal processing
- low dimensional
- human computer interaction
- dimensionality reduction
- hidden markov models
- hand gestures
- nonlinear dimensionality reduction
- semi supervised
- dimension reduction
- high dimensional
- diffusion maps
- hand gesture recognition
- sign language
- feature extraction
- high dimensional data
- feature space
- sparse representation
- locally linear embedding
- sign recognition
- depth data
- geodesic distance
- high dimensionality
- pattern recognition
- depth information
- hand shape
- principal component analysis