Personalized smart home audio system with automatic music selection based on emotion

Dongwann Kang, Sanghyun Seo

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

In this paper, we introduce a personalized home audio system that uses IoT technologies to recommend and play music remotely based on a user’s estimated emotion. This system estimates a user’s emotion based on texts on their smartphone collected during outdoor activities. Based on this emotion, our system then searches for music that matches it from a music database. The system automatically detects the user when they return home, and plays the recommended music via a connected audio system. Consequently, personalized emotion-based music recommendation is provided transparently without the user’s awareness.

Original languageEnglish
Pages (from-to)3267-3276
Number of pages10
JournalMultimedia Tools and Applications
Volume78
Issue number3
DOIs
StatePublished - 1 Feb 2019

Keywords

  • Emotion estimation
  • Internet of things
  • Music recommendation

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