A cross-dataset deep learning-based classifier for people fall detection and identification.
Rubén Delgado-EscañoFrancisco M. CastroJulián Ramos CózarManuel J. Marín-JiménezNicolás GuilEduardo CasilariPublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- deep learning
- fall detection
- feature set
- unsupervised learning
- multi camera
- machine learning
- fuzzy inference
- weakly supervised
- mental models
- learning algorithm
- training set
- decision trees
- indoor environments
- feature selection
- training data
- features extraction
- detection algorithm
- neural network
- object detectors
- feature space
- pattern recognition
- multiscale
- image segmentation
- computer vision