Evacuation Evaluation Using Machine Learning and Wearable Sensors
Dongyang Huang, Susumu Aida, Masaki Kitazawa, Satoshi Takahashi, Tooru Takahashi, Atsushi Yoshikawa, Takao Terano · 2017
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.