Neural network classifier for fall detection improved by Gram-Schmidt variable selection.
Stanislaw JankowskiZbigniew SzymanskiPawel MazurekJakub WagnerPublished in: IDAACS (2015)
Keyphrases
- variable selection
- fall detection
- neural network
- cross validation
- input variables
- feature selection
- model selection
- fuzzy inference
- high dimensional
- dimension reduction
- training data
- back propagation
- multi camera
- detection algorithm
- indoor environments
- feature space
- artificial neural networks
- pattern recognition
- high dimensional data
- computer vision
- genetic algorithm
- genetic programming
- data fusion
- input image
- fuzzy logic
- decision trees
- learning algorithm
- machine learning