Using verticality to classify motion: Analysis of two Indian classical dance styles

Roshni Kaushik, Amy LaViers

Research output: Contribution to conferencePaperpeer-review

Abstract

The Indian classical dance styles of Bharatanatyam and Kathak have many similarities in movements and hand gestures, but their execution varies greatly. Analysis of similar movements from two styles results in observed differences in position and tension. Limitations in a previously developed motion capture metric (verticality) are discussed. Other movement measures are introduced that may be more appropriate to highlight differences in the two styles. Potential applications include robots that need different measures to appropriately sense human motion in different cultures.

Original languageEnglish (US)
Pages5-6
Number of pages2
StatePublished - Jan 1 2019
Event2019 Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2019 - Falmouth, United Kingdom
Duration: Apr 16 2019Apr 18 2019

Conference

Conference2019 Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2019
CountryUnited Kingdom
CityFalmouth
Period4/16/194/18/19

ASJC Scopus subject areas

  • Modeling and Simulation
  • Artificial Intelligence

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