Automatic accident detection and alarm system

Zhuo Wei, Swee Won Lo, Yu Liang, Tieyan Li, Jialie Shen, Robert H. Deng

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review


Accident detection and alarm system is very important to detect possible accidents or dangers for people using their mobile devices while walking, i.e., distracted walking. In this paper, we introduce an automatic accident detection and alarm system, called AutoADAS, which is fully imple-mented and tested on real mobile devices. The proposed system can be activated either manually or automatically. Under the manual mode, user activates the system before distracted walking while under the automatic mode, a \user behaviour profiling"module is used to recognize (distracted) walking behaviours and an \object detection" module is ac-tivated. Using image processing and camera field of view, the distance and angle between the user and detected ob-jects are estimated and then used to identify whether any potential accidents can happen. The \accident analysis and prediction" module includes: Temporal alarm that inputs the user's walking speed and distance with respect to the detected objects and outputs temporal accident prediction; spatial alarm that inputs the user's walking direction and an-gle with respect to the detected objects and outputs spatial accident prediction. Once the proposed system positively predicts a potential accident, the \alarm and suggestion" module alerts the user with text, sound or vibration.

Original languageEnglish
Title of host publicationMM 2015 - Proceedings of the 2015 ACM Multimedia Conference
Place of PublicationBrisbane; Australia
PublisherAssociation for Computing Machinery, Inc
Number of pages4
ISBN (Electronic)9781450334594
Publication statusPublished - 13 Oct 2015
Externally publishedYes
Event23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia
Duration: 26 Oct 201530 Oct 2015


Conference23rd ACM International Conference on Multimedia, MM 2015


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