Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

A Pedestrian Safe Walking Detection System based on Smartphone Sensors

Authors
Fengtao Xue, Hailong Hu, Gaoliang Yan, Yantao Li
Corresponding Author
Fengtao Xue
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.126How to use a DOI?
Keywords
Safe Walking Detection; Smartphone Sensors; Opencv4android; Movement Characteristics of Human Eyes.
Abstract
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.

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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  -