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Title:
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USING VITAL-SENSOR IN TRACKING USER EMOTION AS A CONTEXTUAL INPUT FOR MUSIC RECOMMENDATION SYSTEM |
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Author(s):
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Nguyen Thuy Le, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda |
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ISBN:
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978-972-8939-52-6 |
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Editors:
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Katherine Blashki |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Music Recommendation, Emotion Recognition, Vital-sensor, Emotional Model |
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Type:
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Short Paper |
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First Page:
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316 |
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Last Page:
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320 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 users emotion and suggests songs in the form of a playlist that is sorted to match the users current emotion. For a particular emotional state of the user, the system evaluates songs according to two factors: the users preference, and the potential of a song to influence on the users emotional state. We evaluated both EmuPlayer Emotion Recognition accuracy and its efficiency in Recommending songs. |
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