Artificial Intelligence for Elderly Fall Detection: State-of-the-art Methods, Applications and Challenges

Artificial Intelligence for Elderly Fall Detection: State-of-the-art Methods, Applications and Challenges. Nahian, M. J. A., Raisa, J. F., Mahmud, M., Kaiser, M. S., Ahad, M. A. R., Ghosh, T., Banna, M. H. A., Hossain, M. S., & Andersson, K. Cogn. Comput., 18(1):12, 2026.

Paper doi bibtex

@article{DBLP:journals/cogcom/NahianRMKAGBHA26,
  author       = {Md Jaber Al Nahian and
                  Jasiya Fairiz Raisa and
                  Mufti Mahmud and
                  M. Shamim Kaiser and
                  Md Atiqur Rahman Ahad and
                  Tapotosh Ghosh and
                  Md. Hasan Al Banna and
                  Mohammad Shahadat Hossain and
                  Karl Andersson},
  title        = {Artificial Intelligence for Elderly Fall Detection: State-of-the-art
                  Methods, Applications and Challenges},
  journal      = {Cogn. Comput.},
  volume       = {18},
  number       = {1},
  pages        = {12},
  year         = {2026},
  url          = {https://doi.org/10.1007/s12559-026-10550-5},
  doi          = {10.1007/S12559-026-10550-5},
  timestamp    = {Mon, 09 Mar 2026 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/cogcom/NahianRMKAGBHA26.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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