A Pedestrian Safe Walking Detection System based on Smartphone Sensors
Fengtao Xue, Hailong Hu, Gaoliang Yan, Yantao Li
Available Online May 2017.
- https://doi.org/10.2991/icmeit-17.2017.126How to use a DOI?
- Safe Walking Detection; Smartphone Sensors; Opencv4android; Movement Characteristics of Human Eyes.
- In recent years, pedestrians using smartphones while walking for entertainment has become more and more popular. To avoid stumble, fall down, or even collide with other pedestrians, we propose Walk Well, a safe walking detection system that uses smartphones to provide pedestrians with more safety on watching smartphone while walking in this paper. More specifically, we first obtain the moving speed of the pedestrian using the gravity and accelerometer sensors on smartphones. Then, we exploit the front camera based on OpenCV4Android to detect pedestrian's face and eyes, and if the watching time reaches a threshold we set, Walk Well will give a vibration alert to pedestrian through the smartphone. Finally, we implement Walk Well on an Android smartphone, and evaluate the accuracy of the performance, and the results show that it can prevent the potential danger for pedestrians staring at smartphones
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Fengtao Xue AU - Hailong Hu AU - Gaoliang Yan AU - Yantao Li PY - 2017/05 DA - 2017/05 TI - A Pedestrian Safe Walking Detection System based on Smartphone Sensors BT - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017) PB - Atlantis Press SP - 695 EP - 698 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-17.2017.126 DO - https://doi.org/10.2991/icmeit-17.2017.126 ID - Xue2017/05 ER -