論文

2018年12月4日

Evacuation Evaluation Using Machine Learning and Wearable Sensors

Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
  • Dongyang Huang
  • ,
  • Susumu Aida
  • ,
  • Masaki Kitazawa
  • ,
  • Satoshi Takahashi
  • ,
  • Tooru B. Takahashi
  • ,
  • Atsushi Yoshikawa
  • ,
  • Takao Terano

開始ページ
381
終了ページ
386
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/CSCI.2017.63

© 2017 IEEE. This research proposes a method of evacuation evaluation using machine learning techniques. Evacuation evaluation must identify when and where people tend to make abnormal movement in emergency evacuation situations. Conventional method asks plenty of manpower to detect abnormal movement time periods. Our method detects the time periods automatically, using classifier and heuristics about human movement.

リンク情報
DOI
https://doi.org/10.1109/CSCI.2017.63
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85060566184&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85060566184&origin=inward
ID情報
  • DOI : 10.1109/CSCI.2017.63
  • ISBN : 9781538626528
  • SCOPUS ID : 85060566184

エクスポート
BibTeX RIS