Use of Phone Sensors to Enhance Distracted Pedestrians’ Safety
Use of Phone Sensors to Enhance Distracted Pedestrians’ Safety
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DOI：
10.1109/tmc.2017.2764909
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发表时间：
2018-06
影响因子：
7.9
通讯作者：
Yu-Chih Tung;K. Shin
中科院分区：
文献类型：
--
作者：
Yu-Chih Tung;K. Shin
研究表明，走路时使用智能手机--被称为分心走路--会显著增加行人与危险物体相撞的风险。在本文中，我们将探讨如何通过仅利用手机的内置传感器并开发一个名为BumpAlert的应用程序来缓解这个问题。BumpAlert提供了一个通用的解决方案，不需要用户的周围环境的任何先验知识，通过使用手机的扬声器和麦克风估计到附近物体的距离。必要时，通过使用从手机后置摄像头获取的图像，进一步增强了这一过程。我们已经在各种环境下对BumpAlert进行了评估，从过道到室外环境，包括墙壁，柱子，招牌，垃圾箱和人等，在我们的日常生活中很常见。我们的评估表明，BumpAlert的平均准确率高于95%，检测2- 4米远的正面物体的假阳性率低于2%，这足以让用户做出反应并避免碰撞。尽管BumpAlert无法检测所有危险情况，但我们用户研究的大多数参与者在启用BumpAlert时会感到更安全。将我们目前的BumpAlert设计与其他安全系统相结合，可以为保护分心的行人提供实用的解决方案。
Studies have shown that using smartphones while walking—called distracted walking —significantly increases the risk of pedestrians colliding with dangerous objects. In this paper, we explore how to mitigate this problem by exploiting the phone's built-in sensors only and developing an application called BumpAlert. BumpAlert provides a generic solution without requiring any prior knowledge of the user's surroundings by estimating distances to nearby objects using the phone's speakers and microphones. This process is enhanced further by using the images acquired from the phone's rear camera, when necessary. We have evaluated BumpAlert under a variety of settings ranging from aisle to outdoor environments with walls, pillars, signboards, dustbins, and people, etc., that are common in our daily surroundings. Our evaluation has shown an average accuracy of BumpAlert to be higher than 95 percent with a less than 2 percent false-positive rate to detect frontal objects 2–4m away, which suffices for the user to react and avoid collision. Even though BumpAlert is unable to detect all dangerous situations, most participants of our user study feel safer when they walk with BumpAlert enabled. Integrating our current design of BumpAlert with other safety systems can provide a practical solution for protecting distracted pedestrians.