基于BLE的可穿戴分心驾驶检测

Travis Mewborne, Linghan Zhang, Sheng Tan
{"title":"基于BLE的可穿戴分心驾驶检测","authors":"Travis Mewborne, Linghan Zhang, Sheng Tan","doi":"10.1145/3485730.3492872","DOIUrl":null,"url":null,"abstract":"Distracted driving has become a serious problem for traffic safety with the increasing number of fatalities every year. Existing systems have shortcomings of requiring additional hardware or vehicle motion data separation. Moreover, the excessive use of motion sensors can cause fast battery drain which is impractical for everyday use. In this work, we present a wearable-based distracted driving detection system that leverages Bluetooth. The proposed system exploits already in-vehicle BLE compatible devices to track the driver's hand position and infer potential unsafe driving behaviors. Preliminary study shows our system can achieve over 95% detection accuracy for various distracted driving behaviors.","PeriodicalId":356322,"journal":{"name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Wearable-based Distracted Driving Detection Leveraging BLE\",\"authors\":\"Travis Mewborne, Linghan Zhang, Sheng Tan\",\"doi\":\"10.1145/3485730.3492872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distracted driving has become a serious problem for traffic safety with the increasing number of fatalities every year. Existing systems have shortcomings of requiring additional hardware or vehicle motion data separation. Moreover, the excessive use of motion sensors can cause fast battery drain which is impractical for everyday use. In this work, we present a wearable-based distracted driving detection system that leverages Bluetooth. The proposed system exploits already in-vehicle BLE compatible devices to track the driver's hand position and infer potential unsafe driving behaviors. Preliminary study shows our system can achieve over 95% detection accuracy for various distracted driving behaviors.\",\"PeriodicalId\":356322,\"journal\":{\"name\":\"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3485730.3492872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3485730.3492872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

分心驾驶已经成为一个严重的交通安全问题,每年死亡人数都在增加。现有系统的缺点是需要额外的硬件或车辆运动数据分离。此外,过度使用运动传感器会导致电池快速耗尽,这对于日常使用是不切实际的。在这项工作中,我们提出了一种基于蓝牙的可穿戴分心驾驶检测系统。该系统利用现有的车载BLE兼容设备来跟踪驾驶员的手部位置,并推断潜在的不安全驾驶行为。初步研究表明,该系统对各种分心驾驶行为的检测准确率达到95%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Wearable-based Distracted Driving Detection Leveraging BLE
Distracted driving has become a serious problem for traffic safety with the increasing number of fatalities every year. Existing systems have shortcomings of requiring additional hardware or vehicle motion data separation. Moreover, the excessive use of motion sensors can cause fast battery drain which is impractical for everyday use. In this work, we present a wearable-based distracted driving detection system that leverages Bluetooth. The proposed system exploits already in-vehicle BLE compatible devices to track the driver's hand position and infer potential unsafe driving behaviors. Preliminary study shows our system can achieve over 95% detection accuracy for various distracted driving behaviors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Adaptive Video Transmission Strategy Based on Ising Machine Wavoice: A Noise-resistant Multi-modal Speech Recognition System Fusing mmWave and Audio Signals Experimental Scalability Study of Consortium Blockchains with BFT Consensus for IoT Automotive Use Case MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar FedMask
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1