poster

Poster -- SAfeDJ community: situation-aware in-car music delivery for safe driving

Authors:

Sidney FelsAuthors Info & Claims

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

Pages 363 - 366

https://doi.org/10.1145/2639108.2642902

Published: 07 September 2014 Publication History

Get Access

Abstract

Driving is an integral part of our everyday lives, but it is also a time when people are uniquely vulnerable. Poor road condition, traffic congestion and long driving time may bring negative emotion to drivers and increase the chance of traffic accidents. We propose SAfeDJ, a situation-aware in-car music delivery application, which turns people's trips into pleasant journeys and driving into a safe and enjoyable activity. SAfeDJ aims at helping drivers to diminish fatigue and negative emotion. It is built on a vehicular healthcare platform that enables communications among drivers and integrates with multiple types of sensors to promote safe driving. Prototype implementation and initial results of SAfeDJ have demonstrated its desired functionality in drivers' daily lives and feasibility for real-world deployment.

References

[1]

World Health Organization, 2014, World report on road traffic injury prevention, available: http://www.who.int/violence_injury_prevention/publications/road_traffic/world_report/en/

Google Scholar

[2]

M. Zwaag et al. 2012. The influence of music on mood and performance while driving. Ergonomics, vol. 55, no. 1 pp. 12--22, 2012.

Crossref

Google Scholar

[3]

H. Abid, L. Phuong, J. Wang, S. Lee, and S. Qaisar. 2011. V-Cloud: vehicular cyber-physical systems and cloud computing. In Proc. ACM ISBEAL, 2011.

Digital Library

Google Scholar

[4]

B. Schooley, et al. 2010. CrashHelp: A GIS tool for managing emergency medical responses to motor vehicle crashes. In Proc. ISCRAM, 2010.

Google Scholar

[5]

L. Chan, and P. Chong. 2013. A lane-level cooperative collision avoidance system based on vehicular sensor networks. In Proc. ACM MobiCom, pp. 131--134, 2013.

Digital Library

Google Scholar

[6]

X. Hu, V. C. M. Leung, W. Du, B. C. Seet, and P. Nasiopoulos. 2013. A Service-oriented Mobile Social Networking Platform for Disaster Situations. In Proc. HICSS, pp. 136--145, 2013.

Digital Library

Google Scholar

[7]

X. Hu, T. H. S. Chu, H. C. B. Chan, and V. C. M. Leung. 2013. Vita: A Crowdsensing-oriented Mobile Cyber Physical System. IEEE Trans. Emerging Topics in Computing, vol.1, no. 1, pp. 148--165, 2013.

Crossref

Google Scholar

[8]

X. Hu, X. Li, E.C.-H. Ngai, V. C. M. Leung, and P. Kruchten. 2014. Multi-dimensional context-aware social network architecture for mobile crowdsensing, IEEE Commun. Mag., vol. 52, no. 6, pp. 78--87, 2014.

Crossref

Google Scholar

Cited By

View all

Vahdat-Nejad HIzadpanah SOstadi-Eilaki S(2017)Context-aware cloud-based systems: design aspectsCluster Computing10.1007/s10586-017-1425-z22:S5(11601-11617)Online publication date: 4-Dec-2017
https://doi.org/10.1007/s10586-017-1425-z
Shi XHao YZeng DWang LHossain MMizanur Rahman SAlelaiwi A(2016)Cloud-Assisted Mood Fatigue Detection SystemMobile Networks and Applications10.1007/s11036-016-0757-x21:5(744-752)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1007/s11036-016-0757-x
Krishnan AHu XDeng JZhou LNgai ELi XLeung VKwok YDe Grande RNotare MDarehshoorzadeh A(2015)Towards In Time Music Mood-Mapping for DriversProceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications10.1145/2815347.2815352(59-66)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.1145/2815347.2815352
Show More Cited By

Index Terms

Poster -- SAfeDJ community: situation-aware in-car music delivery for safe driving
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

Recommendations

Towards In Time Music Mood-Mapping for Drivers: A Novel Approach
DIVANet '15: Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications

Road safety is a huge concern due to the large number of fatalities and injuries caused by road accidents. Research has shown that fatigue can adversely affect driving performance and increase risk of road accidents. It has been shown that driving ...
SAfeDJ: A Crowd-Cloud Codesign Approach to Situation-Aware Music Delivery for Drivers
Special Issue on Smartphone-Based Interactive Technologies, Systems, and Applications and Special Issue on Extended Best Papers from ACM Multimedia 2014

Driving is an integral part of our everyday lives, but it is also a time when people are uniquely vulnerable. Previous research has demonstrated that not only does listening to suitable music while driving not impair driving performance, but it could ...
Mood-fatigue analyzer: towards context-aware mobile sensing applications for safe driving
M4IOT '14: Proceedings of the 1st ACM Workshop on Middleware for Context-Aware Applications in the IoT

Nowadays more and more organizations focus on reducing traffic accidents and defensive measures for safe driving. The vigilance level (e.g., negative emotion and fatigue) also accounts for the road injuries. Till now, there is no systematic solution for ...

Comments

Information & Contributors

Information

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2014

Check for updates

Author Tags

Qualifiers

Poster

Funding Sources

Conference

MobiCom'14

Sponsor:

SIGMOBILE

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

September 7 - 11, 2014

Hawaii, Maui, USA

Acceptance Rates

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

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

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
373
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Vahdat-Nejad HIzadpanah SOstadi-Eilaki S(2017)Context-aware cloud-based systems: design aspectsCluster Computing10.1007/s10586-017-1425-z22:S5(11601-11617)Online publication date: 4-Dec-2017
https://doi.org/10.1007/s10586-017-1425-z
Shi XHao YZeng DWang LHossain MMizanur Rahman SAlelaiwi A(2016)Cloud-Assisted Mood Fatigue Detection SystemMobile Networks and Applications10.1007/s11036-016-0757-x21:5(744-752)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1007/s11036-016-0757-x
Krishnan AHu XDeng JZhou LNgai ELi XLeung VKwok YDe Grande RNotare MDarehshoorzadeh A(2015)Towards In Time Music Mood-Mapping for DriversProceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications10.1145/2815347.2815352(59-66)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.1145/2815347.2815352
Hu XLeung VBalaji PXu C(2015)Torwards context-aware mobile crowdsensing in vehicular social networksProceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2015.155(749-752)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.1109/CCGrid.2015.155
Hu WHu XDeng JZhu CFotopoulos GNgai ELeung VHughes DTaconet CLeriche S(2014)Mood-fatigue analyzerProceedings of the 1st ACM Workshop on Middleware for Context-Aware Applications in the IoT10.1145/2676743.2676747(19-24)Online publication date: 9-Dec-2014
https://dl.acm.org/doi/10.1145/2676743.2676747
Hu XWang LSheng ZTalebiFard PZhou LLiu JLeung VNotare MDe Grande R(2014)Towards a service centric contextualized vehicular cloudProceedings of the fourth ACM international symposium on Development and analysis of intelligent vehicular networks and applications10.1145/2656346.2656351(73-80)Online publication date: 21-Sep-2014
https://dl.acm.org/doi/10.1145/2656346.2656351

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Towards In Time Music Mood-Mapping for Drivers: A Novel Approach

SAfeDJ: A Crowd-Cloud Codesign Approach to Situation-Aware Music Delivery for Drivers

Mood-fatigue analyzer: towards context-aware mobile sensing applications for safe driving

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations