Position independent activity recognition using shallow neural architecture and empirical modeling

Swapnil Sayan Saha, Shafizur Rahman, Zarin Rezwana Ridita Haque, Tahera Hossain, Sozo Inoue, Md Atiqur Rahman Ahad. Position independent activity recognition using shallow neural architecture and empirical modeling. In Robert Harle, Katayoun Farrahi, Nicholas Lane, editors, Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019. pages 808-813, ACM, 2019. [doi]

@inproceedings{SahaRHHIA19,
  title = {Position independent activity recognition using shallow neural architecture and empirical modeling},
  author = {Swapnil Sayan Saha and Shafizur Rahman and Zarin Rezwana Ridita Haque and Tahera Hossain and Sozo Inoue and Md Atiqur Rahman Ahad},
  year = {2019},
  doi = {10.1145/3341162.3345572},
  url = {https://doi.org/10.1145/3341162.3345572},
  researchr = {https://researchr.org/publication/SahaRHHIA19},
  cites = {0},
  citedby = {0},
  pages = {808-813},
  booktitle = {Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019},
  editor = {Robert Harle and Katayoun Farrahi and Nicholas Lane},
  publisher = {ACM},
  isbn = {978-1-4503-6869-8},
}