poster

Poster: detection of transportation mode based on smartphones for reducing distracted driving

Authors:

Xin Gao,

Jie Tian,

Guiling WangAuthors Info & Claims

MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networking

Pages 355 - 358

https://doi.org/10.1145/2639108.2642911

Published: 07 September 2014 Publication History

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Abstract

Nowadays, distracted driving is becoming a very dangerous epidemic on the roadways. A lot of activities may lead to distracted driving, such as texting, making phone calls, using GPS or road maps, eating, using in-car entertainment systems, etc. As the number of smartphones is rapidly growing year by year, using smartphone is by far the most dangerous and alarming driver distraction. In this paper, we design an app on iPhone for reducing the smartphone-related distracted driving, which can run in the background and can lock the smartphone screen with no passwords required when it detects that the user is driving. After the user finishes driving, the lock will be removed immediately. We also describe a DTM algorithm to detect the transportation mode and give the performance analysis of our system. The results show that our system can save more energy than other related applications.

References

[1]

What is distracted driving? http://www.distraction.gov/content/get-the-facts/facts-and-statistics.html.

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J. Lindqvist and J. Hong. Undistracted driving: a mobile phone that doesn't distract. In Proceedings of the 12th Workshop on Mobile Computing Systems and Applications, pages 70--75. ACM, 2011.

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S. Reddy, J. Burke, D. Estrin, M. Hansen, and M. Srivastava. Determining transportation mode on mobile phones. In Wearable Computers, 2008. ISWC 2008. 12th IEEE International Symposium on, pages 25--28. IEEE, 2008.

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J. Yang, S. Sidhom, G. Chandrasekaran, T. Vu, H. Liu, N. Cecan, Y. Chen, M. Gruteser, and R. P. Martin. Detecting driver phone use leveraging car speakers. In Proceedings of the 17th annual international conference on Mobile computing and networking, pages 97--108. ACM, 2011.

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Cited By

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Yao QLiu YSun XDong XJi XMa JLuo BLiao XXu JKirda ELie D(2024)Watch the Rhythm: Breaking Privacy with Accelerometer at the Extremely-Low Sampling Rate of 5HzProceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security10.1145/3658644.3690370(1776-1790)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1145/3658644.3690370
Hua JShen ZZhong S(2017)We Can Track You if You Take the MetroIEEE Transactions on Information Forensics and Security10.1109/TIFS.2016.261148912:2(286-297)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1109/TIFS.2016.2611489
Li YZhou GLi YShen D(2016)Determining driver phone use leveraging smartphone sensorsMultimedia Tools and Applications10.1007/s11042-015-2969-775:24(16959-16981)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s11042-015-2969-7

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Poster: detection of transportation mode based on smartphones for reducing distracted driving

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Published In

MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networking

September 2014

650 pages

ISBN:9781450327831

DOI:10.1145/2639108

General Chair:
Sung-Ju Lee
Narus Inc., USA
,
Program Chairs:
Ashutosh Sabharwal
Rice University, USA
,
Prasun Sinha
Ohio State University, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 07 September 2014

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MobiCom'14

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SIGMOBILE

MobiCom'14: The 20th Annual International Conference on Mobile Computing and Networking

September 7 - 11, 2014

Hawaii, Maui, USA

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MobiCom '14 Paper Acceptance Rate 36 of 220 submissions, 16%;

Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Yao QLiu YSun XDong XJi XMa JLuo BLiao XXu JKirda ELie D(2024)Watch the Rhythm: Breaking Privacy with Accelerometer at the Extremely-Low Sampling Rate of 5HzProceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security10.1145/3658644.3690370(1776-1790)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1145/3658644.3690370
Hua JShen ZZhong S(2017)We Can Track You if You Take the MetroIEEE Transactions on Information Forensics and Security10.1109/TIFS.2016.261148912:2(286-297)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1109/TIFS.2016.2611489
Li YZhou GLi YShen D(2016)Determining driver phone use leveraging smartphone sensorsMultimedia Tools and Applications10.1007/s11042-015-2969-775:24(16959-16981)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s11042-015-2969-7

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Virtual Reality User Experience as a Deterrent for Smartphone Use While Driving

Poster: Visual Cue-Based VRU Protection on Smartphones

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