An Interactive Music Playlist Generator that Responds to User Emotion and Context

Jonathan Weinel

doi:10.14236/ewic/EVA2016.53

An Interactive Music Playlist Generator that Responds to User Emotion and Context

Jonathan Weinel

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper aims to demonstrate the mechanisms of a music recommendation system, and accompanying graphical user interface (GUI), that is capable of generating a playlist of songs based upon an individual’s emotion or context. This interactive music playlist generator has been designed as part of a broader system, Intended for mobile devices, which aims to suggest music based upon ‘how the user is feeling’ and ‘what the user is doing’ by evaluating real-time physiological and contextual sensory data using machine learning technologies. For instance, heart rate and skin temperature in conjunction with ambient light, temperature and global positioning satellite (GPS) could be used to a degree to infer one’s current situation and corresponding mood.

Original language	English
DOIs	https://doi.org/10.14236/ewic/EVA2016.53
Publication status	Published - 12 Jul 2016
Externally published	Yes
Event	Electronic Visualisation and the Arts (EVA 2016) - Duration: 7 Dec 2016 → …

Conference

Conference	Electronic Visualisation and the Arts (EVA 2016)
Period	7/12/16 → …

Access to Document

10.14236/ewic/EVA2016.53Licence: CC BY 4.0

Cite this

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AB - This paper aims to demonstrate the mechanisms of a music recommendation system, and accompanying graphical user interface (GUI), that is capable of generating a playlist of songs based upon an individual’s emotion or context. This interactive music playlist generator has been designed as part of a broader system, Intended for mobile devices, which aims to suggest music based upon ‘how the user is feeling’ and ‘what the user is doing’ by evaluating real-time physiological and contextual sensory data using machine learning technologies. For instance, heart rate and skin temperature in conjunction with ambient light, temperature and global positioning satellite (GPS) could be used to a degree to infer one’s current situation and corresponding mood.

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An Interactive Music Playlist Generator that Responds to User Emotion and Context

Abstract

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