López-Méndez, A, Westling, C E I, Emonet, R, Easteal, M, Lavia, L, Witchel, H J and Odobez, J-M (2014) Automated bobbing and phase analysis to measure walking entrainment to music. In: IEEE International Conference on Image Processing, 27-30 October 2014, Paris.

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Abstract

In this paper, we investigate the influence of music on
human walking behaviors in a public setting monitored by
surveillance cameras. To this end, we propose a novel algorithm to characterize the frequency and phase of the walk. It relies on a human-by-detection tracking framework, along with a robust fitting of the human head bobbing motion. Preliminary experiments conducted on more than 100 tracks show that an accuracy greater than 85% for foot strike estimation can be achieved, suggesting that large scale analysis is at reach for finer music/walking behavior relationship studies.
Index Terms— tracking, gait, bobbing estimation, entrainment
to music

Item Type:	Conference or Workshop Item (Paper)
Schools and Departments:	Brighton and Sussex Medical School > Neuroscience School of Media, Film and Music > Media and Film
Subjects:	Q Science > QA Mathematics > QA0299 Analysis. Including analytical methods connected with physical problems T Technology
Depositing User:	Harry Witchel
Date Deposited:	27 Jun 2014 06:38
Last Modified:	27 Jul 2017 17:09
URI:	http://sro.sussex.ac.uk/id/eprint/49090

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