Using vital-sensor in tracking user emotion as a contextual input for Music Recommendation System

Nguyen Thuy Le, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Emotion is a novel contextual key for Music Recommendation System to help users to manage their expanding digital music libraries. In this paper, we propose EmuPlayer - a Music Recommendation System (MRS) which tracks a user's emotion and suggests songs in the form of a playlist that is sorted to match the user's current emotion. For a particular emotional state of the user, the system evaluates songs according to two factors: the user's preference, and the potential of a song to influence on the user's emotional state. We evaluated both EmuPlayer Emotion Recognition accuracy and its efficiency in Recommending songs.

Original languageEnglish
Title of host publicationProceedings of the IADIS International Conference Interfaces and Human Computer Interaction 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011
Pages316-320
Number of pages5
Publication statusPublished - 2011 Dec 1
EventIADIS International Conference Interfaces and Human Computer Interaction 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 - Rome, Italy
Duration: 2011 Jul 242011 Jul 26

Publication series

NameProceedings of the IADIS International Conference Interfaces and Human Computer Interaction 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

Other

OtherIADIS International Conference Interfaces and Human Computer Interaction 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011
CountryItaly
CityRome
Period11/7/2411/7/26

Keywords

  • Emotion recognition
  • Emotional model
  • Music recommendation
  • Vital-sensor

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Information Systems

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  • Cite this

    Le, N. T., Nakazawa, J., Takashio, K., & Tokuda, H. (2011). Using vital-sensor in tracking user emotion as a contextual input for Music Recommendation System. In Proceedings of the IADIS International Conference Interfaces and Human Computer Interaction 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 (pp. 316-320). (Proceedings of the IADIS International Conference Interfaces and Human Computer Interaction 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011).