@inproceedings{9223e4af917749848d64764cb2791399,
title = "Using vital-sensor in tracking user emotion as a contextual input for Music Recommendation System",
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.",
keywords = "Emotion recognition, Emotional model, Music recommendation, Vital-sensor",
author = "Le, {Nguyen Thuy} and Jin Nakazawa and Kazunori Takashio and Hideyuki Tokuda",
year = "2011",
language = "English",
isbn = "9789728939526",
series = "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",
pages = "316--320",
booktitle = "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",
note = "IADIS International Conference Interfaces and Human Computer Interaction 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 ; Conference date: 24-07-2011 Through 26-07-2011",
}