A novel graph-based hybrid deep learning of cumulative GRU and deeper GCN for recognition of abnormal gait patterns using wearable sensors.
Jianning WuJiesheng HuangXiaoyan WuHoude DaiPublished in: Expert Syst. Appl. (2023)
Keyphrases
- deep learning
- wearable sensors
- gait recognition
- unsupervised learning
- gait patterns
- activity recognition
- human identification
- machine learning
- human activities
- semi supervised
- object recognition
- mental models
- pattern recognition
- health monitoring
- continuous monitoring
- action recognition
- recognition algorithm
- weakly supervised
- feature extraction
- expectation maximization
- dimensionality reduction
- supervised learning
- human recognition
- real time