Abstract—Motorcycle accident rates have increased significantly year by year throughout the world. In this paper, we would like to introduce a motorcycle active safety system that can detect high risk riding states and decrease accident rates. As smart phone nowadays becomes a popular communication tools in society, we use smartp hone as the platform of our system. By using sensors that equipped in smart phone, our system will do real-time monitoring based on data that obtained from those sensors and detect the high-risk motorcycle riding maneuvers. When high-risk maneuver is detected, our system will automatically alert the rider. An emergency message will be sent to police when the fatal accident happens. It can be a traffic data recorder with cloud computing to provide digital forensics information to police and insurance company for crash investigation. Our system has been implemented on Android smart phone and tested in real riding condition. Experiments show that data obtained from this system achieve high accuracy and precision.
Index Terms—Active safe system, digital forensics, cloud computing, risk riding detection, smart phone.
The authors are with the Department of Engineering Science and Ocean Engineering, National Taiwan University, Taipei, 10617 Taiwan (e-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org).
Cite: Nowy Condro, Meng-Han Li, and Ray-I Chang, "Moto Safe: Active Safe System for Digital Forensics of Motorcycle Rider with Android," International Journal of Information and Electronics Engineering vol. 2, no. 4, pp. 612-616, 2012.