CrowdWatch
Qianru Wang, Bin Guo, Peng Ge, Gang Zhou, Zhiwen Yu · 2016
Pedestrians distracted by smartphones are easy to meet with various dangers when crossing or walking on the street. To help them, we propose CrowdWatch, a system that leverages crowd-powered smartphone sensing to make fine-grained characterization of the sensing field and provides context-aware alerts to pedestrians for their safety. The crowd data including acceleration, orientation, and GPS reflects the behavior of the crowd in three different situations: crossing roads, waiting traffic lights, and encountering obstacles. We present details about applying the behavior of the crowd into the system in this paper. What's more, under different contexts/situations, different reminders are delivered. Experiment results indicate that CrowdWatch is effective in safety dynamics detection.