Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection.
Amina El AttaouiSalma LargoSoufiane KaissariAchraf BenbaAbdelilah JilbabAbdennaser BourouhouPublished in: IET Wirel. Sens. Syst. (2020)
Keyphrases
- real time
- fall detection
- machine learning
- management system
- wireless sensor networks
- infrared video
- indoor localization
- multi camera
- pattern recognition
- control system
- features extraction
- fuzzy inference
- computer vision
- behavior recognition
- detection algorithm
- data mining
- image segmentation
- motion detection
- fuzzy clustering
- vision system
- sensor networks
- feature selection
- decision making
- data analysis
- multiscale