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Event Segmentation and Biological Motion Perception in Watching Dance

Contributors

Noble, Katie; Glowinski, Donald; Murphy, Helen; Jola, Corinne; McAleer, Phil; Darshane, Nikhil; Penfield, Kedzie; Kalyanasundaram, Sandhiya; Camurri, Antonio; Pollick, Frank E.

Published in

Art & Perception, vol. 2, no. 1-2, p. 59-74

Publication date

2014

Abstract

We used a combination of behavioral, computational vision and fMRI methods to examine human brain activity while viewing a 386 s video of a solo Bharatanatyam dance. A computational analysis provided us with a Motion Index (MI) quantifying the silhouette motion of the dancer throughout the dance. A behavioral analysis using 30 naïve observers provided us with the time points where observers were most likely to report event boundaries where one movement segment ended and another began. These behavioral and computational data were used to interpret the brain activity of a different set of 11 naïve observers who viewed the dance video while brain activity was measured using fMRI. Results showed that the Motion Index related to brain activity in a single cluster in the right Inferior Temporal Gyrus (ITG) in the vicinity of the Extrastriate Body Area (EBA). Perception of event boundaries in the video was related to the BA44 region of right Inferior Frontal Gyrus as well as extensive clusters of bilateral activity in the Inferior Occipital Gyrus which extended in the right hemisphere towards the posterior Superior Temporal Sulcus (pSTS).

Keywords

  • Dance
  • Biological motion
  • Event segmentation
  • Extrastriate body area (EBA)
  • fMRI

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

NOBLE, Katie et al. Event Segmentation and Biological Motion Perception in Watching Dance. In: Art & Perception, 2014, vol. 2, n° 1-2, p. 59–74. doi: 10.1163/22134913-00002011

Main files (1)

Article (Published version)

Identifiers

Journal ISSN

2213-4905
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654downloads

Technical informations

Creation

23/11/2017 10:04:00

First validation

23/11/2017 10:04:00

Update

15/03/2023 02:29:02

Status update

15/03/2023 02:29:02

Last indexation

31/10/2024 08:50:03
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