Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption.
Chi-Hieu PhamThien Huynh-TheEhsan Sedgh GooyaMarwa El BouzAyman AlfalouPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- sensory data
- activity recognition
- human activity recognition
- action recognition
- human activities
- sensor data
- digital libraries
- activities of daily living
- accelerometer data
- data sources
- learning process
- unsupervised learning
- supervised learning
- prior knowledge
- recommender systems
- high dimensional
- learning algorithm