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 language | English |
|---|---|
| Pages (from-to) | 3267-3276 |
| Number of pages | 10 |
| Journal | Multimedia Tools and Applications |
| Volume | 78 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 Feb 2019 |
Keywords
- Emotion estimation
- Internet of things
- Music recommendation
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