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      Exploring the Relationship Between Music and Emotions with Machine Learning

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      Proceedings of EVA London 2021 (EVA 2021)
      AI and the Arts: Artificial Imagination
      5th July – 9th July 2021
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            Content

            Author and article information

            Contributors
            Conference
            July 2021
            July 2021
            : 279-280
            Affiliations
            [0001]University of Greenwich

            London, UK
            Article
            10.14236/ewic/EVA2021.49
            d661be0b-5453-4372-bf5e-640bcf414f9c
            © McIntosh. Published by BCS Learning & Development Ltd. Proceedings of EVA London 2021, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of EVA London 2021
            EVA 2021
            London
            5th July – 9th July 2021
            Electronic Workshops in Computing (eWiC)
            AI and the Arts: Artificial Imagination
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2021.49
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction

            REFERENCES

            1. , and (2019) Improving the accuracy of EEG emotion recognition by combining valence lateralization and ensemble learning with tuning parameters. Cognitive Processing, 20(4), pp.405-417.

            2. , and (2013) Valence, arousal and dominance in the EEG during game play. International Journal of Autonomous and Adaptive Communications Systems, 6(1), p.45.

            3. (1980) A circumplex model of affect. Journal of Personality and Social Psychology, 39(6), pp.1161-1178.

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