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

Xiping Hu*, Jun Qi Deng, Wenyan Hu, Georgios Fotopoulos, Edith C.H. Ngai, Zhengguo Sheng, Min Liang, Xitong Li, Victor C.M. Leung, Sidney Fels

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationMobiCom 2014 - Proceedings of the 20th Annual
PublisherAssociation for Computing Machinery
Pages363-365
Number of pages3
ISBN (Electronic)9781450327831
DOIs
Publication statusPublished - 7 Sept 2014
Externally publishedYes
Event20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014 - Maui, United States
Duration: 7 Sept 201411 Sept 2014

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Conference

Conference20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014
Country/TerritoryUnited States
CityMaui
Period7/09/1411/09/14

Keywords

  • Cloud
  • Situation-aware
  • Vehicular sensor application

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