Automated bobbing and phase analysis to measure walking entrainment to music

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Authors: Lopez-Mendez, A., Westling, C.E.I., Emonet, R., Easteal, M., Lavia, L., Witchel, H.J. and Odobez, J.M.

Journal: 2014 IEEE International Conference on Image Processing, ICIP 2014

Pages: 4186-4190

ISBN: 9781479957514

DOI: 10.1109/ICIP.2014.7025850

© 2014 IEEE. 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.

This data was imported from Web of Science (Lite):

Authors: Lopez-Mendez, A., Westling, C.E.I., Emonet, R., Easteal, M., Lavia, L., Witchel, H.J., Odobez, J.-M. and IEEE

Journal: 2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)

Pages: 4186-4190

ISSN: 1522-4880

The data on this page was last updated at 05:27 on January 25, 2021.