Conference paper Open Access

Biophysiologically synchronous computer generated music improves performance and reduces perceived effort in trail runners

Williams, Duncan A.H.; Fazenda, Bruno; Williamson, Victoria J.; Fazekas, Gyorgy

Editor(s)
Michon, Romain; Schroeder, Franziska

Music has previously been shown to be beneficial in improving runners performance in treadmill based experiments. This paper evaluates a generative music system, HEARTBEATS, designed to create biosignal synchronous music in real-time according to an individual athlete's heart-rate or cadence (steps per minute). The tempo, melody, and timbral features of the generated music are modulated according to biosensor input from each runner using a wearable Bluetooth sensor. We compare the relative performance of athletes listening to heart-rate and cadence synchronous music, across a randomized trial (N=57) on a trail course with 76ft of elevation. Participants were instructed to continue until perceived effort went beyond an 18 using the Borg rating of perceived exertion scale. We found that cadence-synchronous music improved performance and decreased perceived effort in male runners, and improved performance but not perceived effort in female runners, in comparison to heart-rate synchronous music. This work has implications for the future design and implementation of novel portable music systems and in music-assisted coaching.
Files (7.6 MB)
Name Size
nime2020_paper102.mp4
md5:0f1067a0b497452a556bfabc5407802e
7.3 MB Download
nime2020_paper102.pdf
md5:d0c58497f69f5278450a331d4428c736
285.3 kB Download
nime2020_paper102.srt
md5:b4c62382615a64a9ebab1d9673251b09
6.4 kB Download
102
67
views
downloads
All versions This version
Views 102102
Downloads 6767
Data volume 53.6 MB53.6 MB
Unique views 7878
Unique downloads 5353

Share

Cite as