A Safe Walking App for Pedestrians
Shih‐Yu Huang, Jr-Re Chuang Yi-Hsuan Lin · 2015
People are inseparable with smart mobile devices with the convenience and popularity of them. People often use mobile devices during fragmented time such as sitting or standing. There is a trend that users are texting while walking. In this situation, the mobile device would block most of vision of users resulting some accidents happened. Although texting while walking is dangerous, it is impossible to avoid it. Therefore, this paper proposes an App utilizing mobile devices G-sensor and camera to detect unsafe roads to help people to avoid the above accidents. The experimental results demonstrate that the detecting rate of the proposed App is over 95%. The proposed system is a good alternative for safe walking.