FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors

Mengxi Liu, Bo Zhou 0005, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz. FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. In 34th IEEE International Conference on Application-specific Systems, Architectures and Processors, ASAP 2023, Porto, Portugal, July 19-21, 2023. pages 110-118, IEEE, 2023. [doi]

@inproceedings{LiuZZHKSRL23,
  title = {FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors},
  author = {Mengxi Liu and Bo Zhou 0005 and Zimin Zhao and Hyeonseok Hong and Hyun Kim and Sungho Suh and Vítor Fortes Rey and Paul Lukowicz},
  year = {2023},
  doi = {10.1109/ASAP57973.2023.00029},
  url = {https://doi.org/10.1109/ASAP57973.2023.00029},
  researchr = {https://researchr.org/publication/LiuZZHKSRL23},
  cites = {0},
  citedby = {0},
  pages = {110-118},
  booktitle = {34th IEEE International Conference on Application-specific Systems, Architectures and Processors, ASAP 2023, Porto, Portugal, July 19-21, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-4685-5},
}