Towards a Practical Pedestrian Distraction Detection Framework using Wearables
Towards a Practical Pedestrian Distraction Detection Framework using Wearables
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DOI：
10.1109/percomw.2018.8480238
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Nisha Vinayaga-Sureshkanth;Anindya Maiti;Murtuza Jadliwala;Kirsten Crager;Jibo He;Heena Rathore
中科院分区：
文献类型：
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作者：
Nisha Vinayaga-Sureshkanth;Anindya Maiti;Murtuza Jadliwala;Kirsten Crager;Jibo He;Heena Rathore
行人安全仍然是城市社区的一个重要问题，分心是造成行人严重事故的主要因素之一。复杂的移动和可穿戴设备的出现，配备了高精度的车载传感器，能够测量细微的用户动作和环境，为设计有效的行人安全系统和应用程序提供了巨大的机会。然而，由于这些设备的内存、计算和通信限制，实时准确识别行人干扰仍然是设计此类系统的关键技术挑战。在这个方向上的早期研究工作主要集中在实现高分心检测精度上，导致技术要么是资源密集型的，不适合在主流移动设备上实现，要么是计算速度慢，不是实时的，或者需要专门的硬件，因此不太可能被大多数用户采用。本文的目标是设计一种行人分心检测技术，克服（现有技术）的一些缺点，并在计算效率、检测精度和能耗之间取得良好的平衡。
Pedestrian safety continues to be a significant con- cern in urban communities with distraction being one of the main contributing factor behind serious accidents involving pedestrians. The advent of sophisticated mobile and wearable devices, equipped with high-precision on-board sensors capable of measuring fine-grained user movements and context, provides a tremendous opportunity for designing effective pedestrian safety systems and applications. Accurate recognition of pedestrian distractions in real-time given the memory, computation and com- munication limitations of these devices, however, remains a key technical challenge in the design of such systems. Earlier research efforts in this direction have primarily focused on achieving high distraction detection accuracy, resulting in techniques that are either resource intensive and unsuitable for implementation on mainstream mobile devices, or computationally slow and not real- time, or require specialized hardware and thus less likely to be adopted by most users. Our goal in this paper is to design a pedestrian distraction detection technique that overcomes some of these shortcomings (of existing techniques) and achieves a favorable balance between computational efficiency, detection accuracy, and energy consumption.