DocumentCode
117451
Title
iBump: Smartphone application to detect car accidents
Author
Aloul, Fadi ; Zualkernan, Imran ; Abu-Salma, Ruba ; Al-Ali, Humaid ; Al-Merri, May
Author_Institution
Dept. of Comput. Sci. & Eng., American Univ. of Sharjah, Sharjah, United Arab Emirates
fYear
2014
fDate
28-30 Aug. 2014
Firstpage
52
Lastpage
56
Abstract
Traffic accidents are a fact of life. While accidents are sometimes unavoidable, studies show that the long response time required for emergency responders to arrive is a primary reason behind increased fatalities in serious accidents. One way to reduce this response time is to reduce the amount of time it takes to report an accident. Smartphones are ubiquitous and with network connectivity are perfect devices to immediately inform relevant authorities about the occurrence of an accident. This paper presents the development of a system that uses smartphones to automatically detect and report car accidents in a timely manner. Data is continuously collected from the smartphone´s accelerometer and analyzed using Dynamic Time Warping (DTW) to determine the severity of the accident, reduce false positives and to notify first responders of the accident location and owner´s medical information. In addition, accidents can be viewed on the smartphone over the Internet offering instant and reliable access to the information concerning the accident. By implementing this application and adding a notification system, the response time required to notify emergency responders of traffic accidents can reduce the response time and perhaps help in reducing fatalities.
Keywords
mobile computing; road accidents; smart phones; traffic engineering computing; DTW; Internet; accident location notification; accident severity determination; car accident detection; car accident reporting; dynamic time warping; false positives reduction; iBump; owners medical information; smartphone accelerometer; smartphone application; traffic accidents; Accelerometers; Accidents; Conferences; Global Positioning System; Heuristic algorithms; Sensors; Vehicles; Accident Detection; Dynamic Time Warping (DTW); Pattern Recognition; Smartphone Application;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Automation, Information and Communications Technology (IAICT), 2014 International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4799-4910-6
Type
conf
DOI
10.1109/IAICT.2014.6922107
Filename
6922107
Link To Document