4813174
doi
10.5281/zenodo.4813174
oai:zenodo.org:4813174
user-nime_conference
Michon, Romain
Schroeder, Franziska
Fazenda, Bruno
Williamson, Victoria J.
Fazekas, Gyorgy
Biophysiologically synchronous computer generated music improves performance and reduces perceived effort in trail runners
Williams, Duncan A.H.
issn:2220-4806
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
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.
Zenodo
2020-06-01
info:eu-repo/semantics/conferencePaper
4813173
user-nime_conference
1622341253.769771
285301
md5:d0c58497f69f5278450a331d4428c736
https://zenodo.org/records/4813174/files/nime2020_paper102.pdf
6420
md5:b4c62382615a64a9ebab1d9673251b09
https://zenodo.org/records/4813174/files/nime2020_paper102.srt
7285502
md5:0f1067a0b497452a556bfabc5407802e
https://zenodo.org/records/4813174/files/nime2020_paper102.mp4
public
2220-4806
Is part of
issn
10.5281/zenodo.4813173
isVersionOf
doi
Proceedings of the International Conference on New Interfaces for Musical Expression
531--536
2020-06-01