A novel cloud-based crowd sensing approach to context-aware music mood-mapping for drivers

Arun Sai Krishnan, Xiping Hu, Jun Qi Deng, Renfei Wang, Min Liang, Chunsheng Zhu, Victor C.M. Leung, Yu Kwong Kwok

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

3 Citations (Scopus)

Abstract

Millions of people are severely injured or killed in road accidents every year and most of these accidents are caused by human error. Fatigue and negative emotions such as anger adversely affect driver performance, thereby increasing the risk involved in driving. Research has shown that listening to the right kind of music in these situations can ameliorate driver performance and improve road safety. Context-aware music delivery systems succeed in delivering suitable music according to the situation through the process of music mood-mapping which identifies the mood of a song. Additionally, we can leverage the power of the cloud to enable crowd sensing of the mood-mapping of various songs and enhance the effectiveness of situation-aware music delivery for drivers. The cloud can be used to aggregate the crowd sensed music mood-mapping data and improve the effectiveness of music delivery by providing accurate mood-mappings from the aggregated data. Currently, context-aware music delivery systems consider only features from the song for music mood-mapping. In this paper, we propose a novel approach to music mood-mapping for drivers which also incorporates the social context of a driver including age, gender and cultural background to enhance the effectiveness of music delivery in context-aware music recommendation systems for drivers.

Original languageEnglish
Title of host publicationProceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages475-478
Number of pages4
ISBN (Electronic)9781467395601
DOIs
Publication statusPublished - 1 Feb 2016
Externally publishedYes
Event7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015 - Vancouver, Canada
Duration: 30 Nov 20153 Dec 2015

Publication series

NameProceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015

Conference

Conference7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015
Country/TerritoryCanada
CityVancouver
Period30/11/153/12/15

Keywords

  • Cloud
  • Context-aware
  • Crowd sensing
  • Music mood-mapping
  • Safe driving

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