Automated Bobbing and Phase Analysis to Measure Walking Entrainment
| Type of publication: | Conference paper |
| Citation: | Lopez-Mendez_ICIP_2014 |
| Booktitle: | IEEE International Conference on Image Processing (ICIP), Paris |
| Year: | 2014 |
| Month: | October |
| 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. |
| Keywords: | bobbing estimation, entrainment to music, gait, tracking |
| Projects: |
VANAHEIM |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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