A Smartphone-Based System for Improving Pedestrian Safety

被引：0
|
作者：
Xia, Stephen [1 ]
de Godoy, Daniel [1 ]
Islam, Bashima [2 ]
Islam, Md Tamzeed [2 ]
Nirjon, Shahriar [2 ]
Kinget, Peter R. [1 ]
Jiang, Xiaofan [1 ]
机构：
[1] Columbia Univ, New York, NY 10027 USA
[2] Univ N Carolina, Chapel Hill, NC 27515 USA
来源：
2018 IEEE VEHICULAR NETWORKING CONFERENCE (VNC) | 2018年
基金：
美国国家科学基金会;
关键词：
mobile computing; wearables; pedestrian safety;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the prevalence of smartphones, pedestrians and joggers today often walk or run while listening to music. Since they are deprived of their auditory senses that would have provided important cues to dangers, they are at a much greater risk of being hit by cars or other vehicles. In this article, we present PAWS, a smartphone platform that utilizes an embedded wearable headset system mounted with an array of MEMS microphones to help detect, localize, and warn pedestrians of the imminent dangers of approaching cars.
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页数：2
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