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Link to original content: https://unpaywall.org/10.1145/3308557.3308721
Quantification of gracefulness from hand trajectory in classical dance motion | Companion Proceedings of the 24th International Conference on Intelligent User Interfaces skip to main content
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Quantification of gracefulness from hand trajectory in classical dance motion

Published: 16 March 2019 Publication History

Abstract

Graceful is one of the adjectives about human motion. Graceful motion can give a good impression to the observer. This research focuses on the concept of "graceful motion," as defined by William Hogarth. To quantify the gracefulness of human motion, we propose the measurement method that can extract the "Line of Beauty" from dancer's hand trajectory. We approximate the dancer's hand trajectories by quartic B-spline curves and extract the S-shaped curves using its inflection points. Finally, we quantify the gracefulness using extracted curve's parameters. Through the subjective evaluation, we showed that weak correlation between impression and our quantification result.

References

[1]
F.J.J Buytendijk. 1972. Allgemeine Theorie der menschlichen Haltung und Bewegung. Springer.
[2]
M. Masuda et.al. 2010. Motion rendering system for emotion expression of human form robots based on Laban movement analysis. In Proc. RO-MAN2010. 324--329.
[3]
T. Lourens et.al. 2016. Laban Movement Analysis and Affective Movement Generation for Robots and Other Near-Living Creatures. "Dance Notations and Robot Motion", Springer Tracts in Advanced Robotics 111 (2016), 25 -- 48.
[4]
W. Hogarth. 1997. The Analysis of Beauty. Yale University.

Cited By

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  • (2024)An investigation of methods to improve the accuracy of classical dance steps based on machine vision recognition technologyApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-28609:1Online publication date: 9-Oct-2024
  • (2024)Modeling of Drama Performance Intelligent Evaluation Driven by Multimodal DataGenetic and Evolutionary Computing10.1007/978-981-97-0068-4_22(220-232)Online publication date: 2-Feb-2024
  • (2023)Quantification of Motion Gracefulness Focused on Knees and Hips2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC53992.2023.10394582(1008-1013)Online publication date: 1-Oct-2023

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cover image ACM Conferences
IUI '19 Companion: Companion Proceedings of the 24th International Conference on Intelligent User Interfaces
March 2019
173 pages
ISBN:9781450366731
DOI:10.1145/3308557
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 March 2019

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Author Tags

  1. graceful motion
  2. human-robot interaction
  3. motion analysis
  4. motion capture

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

View all
  • (2024)An investigation of methods to improve the accuracy of classical dance steps based on machine vision recognition technologyApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-28609:1Online publication date: 9-Oct-2024
  • (2024)Modeling of Drama Performance Intelligent Evaluation Driven by Multimodal DataGenetic and Evolutionary Computing10.1007/978-981-97-0068-4_22(220-232)Online publication date: 2-Feb-2024
  • (2023)Quantification of Motion Gracefulness Focused on Knees and Hips2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC53992.2023.10394582(1008-1013)Online publication date: 1-Oct-2023

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