Title
Automated bobbing and phase analysis to measure walking entrainment to music
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.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025850
Image Processing
Keywords
Field
DocType
estimation theory,gait analysis,image motion analysis,music,video surveillance,automated bobbing analysis,foot strike estimation,human head bobbing motion,human walking behavior,human-by-detection tracking framework,music-walking behavior relationship,phase analysis,surveillance camera,walking entrainment measurement,walking frequency,walking phase,bobbing estimation,entrainment to music,gait,tracking
Scale analysis (statistics),Computer vision,Pattern recognition,Gait,Computer science,Entrainment (chronobiology),Artificial intelligence,Phase analysis,Human head
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
10
8
Name
Order
Citations
PageRank
Adolfo López-Mendez1392.90
Carina Westling274.26
Rémi Emonet3617.60
Easteal, M.400.34
L. Lavia500.34
Harry J. Witchel6105.65
Jean-marc Odobez71641110.52
Lopez-Mendez, A.800.34