ProtoPLSTM: An Interpretable Deep Learning Approach for Wearable Fine-Grained Fall Detection

Chenlong Gao, Teng Zhang, Xinlong Jiang, Wuliang Huang, Yiqiang Chen, Jie Li. ProtoPLSTM: An Interpretable Deep Learning Approach for Wearable Fine-Grained Fall Detection. In IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022, Haikou, China, December 15-18, 2022. pages 516-524, IEEE, 2022. [doi]

@inproceedings{GaoZJHCL22,
  title = {ProtoPLSTM: An Interpretable Deep Learning Approach for Wearable Fine-Grained Fall Detection},
  author = {Chenlong Gao and Teng Zhang and Xinlong Jiang and Wuliang Huang and Yiqiang Chen and Jie Li},
  year = {2022},
  doi = {10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00091},
  url = {https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00091},
  researchr = {https://researchr.org/publication/GaoZJHCL22},
  cites = {0},
  citedby = {0},
  pages = {516-524},
  booktitle = {IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022, Haikou, China, December 15-18, 2022},
  publisher = {IEEE},
  isbn = {979-8-3503-4655-8},
}