An efficient automatic accident detection system using inertial measurement through machine learning techniques for powered two wheelers
作者：
Highlights：
• Simple, efficient and low cost accident detection system for PTW.
• DSS takes very less time to detect the accident with severity class.
• Irrespective of type of rider and vehicle design, the designed system will work well.
• Novel accident detection algorithm is devised using ASW technique.
• The system could discriminate the real fall state from false-positive cases.
摘要
•Simple, efficient and low cost accident detection system for PTW.•DSS takes very less time to detect the accident with severity class.•Irrespective of type of rider and vehicle design, the designed system will work well.•Novel accident detection algorithm is devised using ASW technique.•The system could discriminate the real fall state from false-positive cases.
论文关键词：Accident detection,Accident severity,Fall identification,Two-wheeler accident
论文评审过程：Received 5 April 2021, Revised 1 November 2021, Accepted 7 December 2021, Available online 18 December 2021, Version of Record 24 December 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116389
