Griffiths, Darryl, Cunningham, Stuart and Weinel, Jonathan ORCID: https://orcid.org/0000-0001-5347-3897 (2013) A discussion of musical features for automatic music playlist generation using affective technologies. In: AM '13: Proceedings of the 8th Audio Mostly Conference. September 18 - 20 2013, Piteå, Sweden. ACM international conference proceedings . Association for Computing Machinery (ACM), New York, pp. 1-4. ISBN 978-1-4503-2659-9 (doi:10.1145/2544114.2544128)

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Abstract

This paper discusses how human emotion could be quantified using contextual and physiological information that has been gathered from a range of sensors, and how this data could then be used to automatically generate music playlists. The work is very much in progress and this paper details what has been done so far and plans for experiments and feature mapping to validate the concept in real-world scenarios. We begin by discussing existing affective systems that automatically generate playlists based on human emotion. We then consider the current work in audio description analysis. A system is proposed that measures human emotion based on contextual and physiological data using a range of sensors. The sensors discussed to invoke such contextual characteristics range from temperature and light to EDA (electro dermal activity) and ECG (electrocardiogram). The concluding section describes the progress achieved so far, which includes defining datasets using a conceptual design, microprocessor electronics and data acquisition using Matlab. Lastly, there is brief discussion of future plans to develop this research.

Item Type:	Conference Proceedings
Title of Proceedings:	AM '13: Proceedings of the 8th Audio Mostly Conference. September 18 - 20 2013, Piteå, Sweden
Uncontrolled Keywords:	affective computing, music playlists
Subjects:	M Music and Books on Music > M Music Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Liberal Arts & Sciences > Sound-Image Research Group Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:08
URI:	http://gala.gre.ac.uk/id/eprint/34095

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