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- Title
Pose estimates from online videos show that side-by-side walkers synchronize movement under naturalistic conditions.
- Authors
Chambers, Claire; Kong, Gaiqing; Wei, Kunlin; Kording, Konrad
- Abstract
Marker-less video-based pose estimation promises to allow us to do movement science on existing video databases. We revisited the old question of how people synchronize their walking using real world data. We thus applied pose estimation to 348 video segments extracted from YouTube videos of people walking in cities. As in previous, more constrained, research, we find a tendency for pairs of people to walk in phase or in anti-phase with each other. Large video databases, along with pose-estimation algorithms, promise answers to many movement questions without experimentally acquiring new data.
- Subjects
YOUTUBE (Web resource); VIDEO compression; STREAMING video &; television; PHYSICAL sciences; LIFE sciences; SIGNAL filtering; MUSCULOSKELETAL system; ESTIMATES
- Publication
PLoS ONE, 2019, Vol 14, Issue 6, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0217861