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

Conference paper

Griffiths, D, Cunningham, S and Weinel, J (2016). An Interactive Music Playlist Generator that Responds to User Emotion and Context. Bowen, Jonathan P, Diprose, Graham and Lambert, Nick (ed.) Electronic Visualisation and the Arts (EVA 2016). London, UK 12 - 14 Jul 2016 British Computer Society. https://doi.org/10.14236/ewic/EVA2016.53
AuthorsGriffiths, D, Cunningham, S and Weinel, J
TypeConference paper
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.

Year2016
JournalElectronic Visualisation and the Arts (EVA 2016)
PublisherBritish Computer Society
Digital Object Identifier (DOI)https://doi.org/10.14236/ewic/EVA2016.53
Web address (URL)http://ewic.bcs.org/category/18854
Publisher's version
License
File Access Level
Open
Publication dates
Print12 Jul 2016
Publication process dates
Deposited02 Mar 2019
Accepted12 Jul 2016
EditorsBowen, Jonathan P, Diprose, Graham and Lambert, Nick
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https://openresearch.lsbu.ac.uk/item/8733q

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ewic_eva16_demo2_paper3.pdf
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