Automated Bobbing and Phase Analysis to Measure Walking Entrainment to Music

Adolfo López-Méndez (1) , Carina E.I. Westling (2) , Rémi Emonet (3) , Matt Easteal (1) , Lisa Lavia (1) , Harry Witchel (4) , Jean-Marc Odobez (5)

1 Chercheur indépendant
2 University of Sussex
3 LHC - Laboratoire Hubert Curien
4 BSMS - Brighton and Sussex Medical School
5 IDIAP Research Institute

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.

Mots clés: tracking; gait; bobbing estimation; entrainment to music

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Adolfo López-Méndez, Carina E.I. Westling, Rémi Emonet, Matt Easteal, Lisa Lavia, et al.. Automated Bobbing and Phase Analysis to Measure Walking Entrainment to Music. IEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.1. ⟨hal-01004425⟩