ProtoPLSTM: An Interpretable Deep Learning Approach for Wearable Fine-Grained Fall Detection.
Chenlong GaoTeng ZhangXinlong JiangWuliang HuangYiqiang ChenJie LiPublished in: SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Keyphrases
- deep learning
- fine grained
- fall detection
- coarse grained
- unsupervised learning
- detection algorithm
- multi camera
- access control
- fuzzy inference
- machine learning
- indoor environments
- mental models
- data lineage
- features extraction
- artificial intelligence
- weakly supervised
- natural language processing
- information extraction
- mobile robot
- viewpoint
- high level