All Outputs (3)

On the use of AI for generation of functional music to improve mental health (2020)
Journal Article
Williams, D., Hodge, V., & Wu, C. (2020). On the use of AI for generation of functional music to improve mental health. Frontiers in Artificial Intelligence, 3, 497864. https://doi.org/10.3389/frai.2020.497864

Increasingly music has been shown to have both physical and mental health benefits including improvements in cardiovascular health, a link to reduction of cases of dementia in elderly populations, and improvements in markers of general mental well-be... Read More about On the use of AI for generation of functional music to improve mental health.

On performance and perceived effort in trail runners using sensor control to generate biosynchronous music (2020)
Journal Article
Williams, D., Fazenda, B., Williamson, V., & Fazekas, G. (2020). On performance and perceived effort in trail runners using sensor control to generate biosynchronous music. Sensors, 20(16), e4528. https://doi.org/10.3390/s20164528

Music has been shown to be capable of improving runners’ performance in treadmill and laboratory-based experiments. This paper evaluates a generative music system, namely HEARTBEATS, designed to create biosignal synchronous music in real-time accordi... Read More about On performance and perceived effort in trail runners using sensor control to generate biosynchronous music.

Neural and physiological data from participants listening to affective music (2020)
Journal Article
Daly, I., Nicolaou, N., Williams, D., Hwang, F., Kirke, A., Miranda, E., & Nasuto, S. (2020). Neural and physiological data from participants listening to affective music. Scientific Data, 7(1), 177. https://doi.org/10.1038/s41597-020-0507-6

Music provides a means of communicating affective meaning. However, the neurological mechanisms by which music induces affect are not fully understood. Our project sought to investigate this through a series of experiments into how humans react to af... Read More about Neural and physiological data from participants listening to affective music.