Vision-based Scene Analysis toward Dangerous Cycling Behavior Detection Using Smartphones

Cycling can contribute to improvements of user’s physical and mental health, and can also bring positive impacts on the environment. However, many riders do not necessarily have a full understanding of safe bicycle riding. Existing sensing technology and mobile systems have demonstrated assistive features for car driving, and this motivates us to design a mobile application to feedback cyclist’s bicycle riding. In this paper, we present the current progress of our mobile system to perform vision-based scene analysis tailored toward the detection of potentially dangerous cycling.