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English(EN) Detecting Drunk Driving Using Off-the-Shelf Smartwatches

智能手表利用运动和心率数据检测酒驾

研究人员开发了一个系统,使用现成的智能手表来检测酒精影响下的驾驶。该系统分析手腕加速度计数据和心率变异性来识别醉酒程度。在一项对54名参与者的测试赛道研究中,卷积神经网络在检测任何酒精影响方面达到了0.88的AUROC,在检测高于世界卫生组织限值的水平方面达到了0.86。这项工作首次在真实车辆环境中通过消费级智能手表演示了酒驾检测。 AI

影响 可穿戴传感器可以为驾驶员受酒精影响的实时监测提供可扩展的解决方案,有可能减少与酒精相关的交通事故。

排序理由 该集群包含一篇学术论文,详细介绍了使用可穿戴技术检测酒驾的新方法。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

智能手表利用运动和心率数据检测酒驾

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该集群包含一篇学术论文,详细介绍了使用可穿戴技术检测酒驾的新方法。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Robin Deuber, Lanlan Yang, Michal Bechny, Christoph Heck, Matthias Pf\"affli, Matthias Bantle, Florian von Wangenheim, Elgar Fleisch, Wolfgang Weinmann, Manuel G\"unther, Felix Wortmann, Varun Mishra ·

    使用现成智能手表检测酒驾

    arXiv:2605.23663v1 Announce Type: cross Abstract: Alcohol-impaired driving remains a major yet preventable cause of road traffic injury and death, with many drivers underestimating their level of intoxication. Compared to in-vehicle systems, mobile drunk-driving detection using c…

  2. arXiv cs.LG TIER_1 English(EN) · Varun Mishra ·

    使用现成智能手表检测酒驾

    Alcohol-impaired driving remains a major yet preventable cause of road traffic injury and death, with many drivers underestimating their level of intoxication. Compared to in-vehicle systems, mobile drunk-driving detection using consumer smartwatches offers a scalable way to trig…