Three-Dimensional Visualization of Movement Qualities in Contemporary Dance

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analyzing and documenting contemporary dance movement data has proven to be a very difficult task due to the vast existence of styles and aesthetics which are characteristic of each individual choreographer. Indeed, identifying movement qualities with the intention of co-relating them to specific meanings and choreographic intentions is practically impossible without taking an artist-driven approach. Moreover, equipping dancers with wearable technology in order to accurately track each of their movements is only applicable in controlled laboratory scenarios, therefore not being a viable approach to analyze large scale real-world rehearsals or performances. This paper describes a visualization system that exposes movement qualities for dance through rendering effects. Combining optical flow analysis with depth video information, we were able to estimate the three-dimensional flow for each point in the cloud. This information was used to color point cloud videos with this information, showing potential to be used for the creation of different rendering effects, which are also discussed in this paper. The data used was captured in a non-intrusive manner during the creation process of a dance piece by Portuguese choreographer Rui Lopes Graça, enabling us to examine nuances and details of the rehearsals' process, which would not be replicable in a laboratory environment.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Movement and Computing
Place of PublicationNew York, NY, USA
PublisherACM
Pagesonline
ISBN (Print)978-1-4503-6504-8
Publication statusPublished - 2018
Event5th International Conference on Movement and Computing: 28-30 June 2018, Genoa, Italy. - MOCO'18, hosted by Casa Paganini - InfoMus, DIBRIS, University of Genoa (Italy), in co-operation with the Paris 8 University (France), MINES ParisTech (France) and IRCAM (France)., Geneo, Italy
Duration: 28 Jun 201830 Jun 2018
http://moco18.movementcomputing.org/

Publication series

NameMOCO '18
PublisherACM

Conference

Conference5th International Conference on Movement and Computing
CountryItaly
CityGeneo
Period28/06/1830/06/18
Internet address

Fingerprint

Visualization
Optical flows
Color
Wearable technology

Keywords

  • 3D Visualization
  • Contemporary Dance
  • Motion Capture
  • Optical Flow
  • Point Clouds

Cite this

Anjos, R. K. D., Ribeiro, C., & Fernandes, C. (2018). Three-Dimensional Visualization of Movement Qualities in Contemporary Dance. In Proceedings of the 5th International Conference on Movement and Computing (pp. online). [10] (MOCO '18). New York, NY, USA: ACM.
Anjos, Rafael Kuffner dos ; Ribeiro, Claudia ; Fernandes, Carla. / Three-Dimensional Visualization of Movement Qualities in Contemporary Dance. Proceedings of the 5th International Conference on Movement and Computing. New York, NY, USA : ACM, 2018. pp. online (MOCO '18).
@inproceedings{5328b45e74724bdc8ac5f16020e599aa,
title = "Three-Dimensional Visualization of Movement Qualities in Contemporary Dance",
abstract = "Analyzing and documenting contemporary dance movement data has proven to be a very difficult task due to the vast existence of styles and aesthetics which are characteristic of each individual choreographer. Indeed, identifying movement qualities with the intention of co-relating them to specific meanings and choreographic intentions is practically impossible without taking an artist-driven approach. Moreover, equipping dancers with wearable technology in order to accurately track each of their movements is only applicable in controlled laboratory scenarios, therefore not being a viable approach to analyze large scale real-world rehearsals or performances. This paper describes a visualization system that exposes movement qualities for dance through rendering effects. Combining optical flow analysis with depth video information, we were able to estimate the three-dimensional flow for each point in the cloud. This information was used to color point cloud videos with this information, showing potential to be used for the creation of different rendering effects, which are also discussed in this paper. The data used was captured in a non-intrusive manner during the creation process of a dance piece by Portuguese choreographer Rui Lopes Gra{\cc}a, enabling us to examine nuances and details of the rehearsals' process, which would not be replicable in a laboratory environment.",
keywords = "3D Visualization, Contemporary Dance, Motion Capture, Optical Flow, Point Clouds",
author = "Anjos, {Rafael Kuffner dos} and Claudia Ribeiro and Carla Fernandes",
note = "UID/CCI/04667/2016",
year = "2018",
language = "English",
isbn = "978-1-4503-6504-8",
series = "MOCO '18",
publisher = "ACM",
pages = "online",
booktitle = "Proceedings of the 5th International Conference on Movement and Computing",

}

Anjos, RKD, Ribeiro, C & Fernandes, C 2018, Three-Dimensional Visualization of Movement Qualities in Contemporary Dance. in Proceedings of the 5th International Conference on Movement and Computing., 10, MOCO '18, ACM, New York, NY, USA, pp. online, 5th International Conference on Movement and Computing, Geneo, Italy, 28/06/18.

Three-Dimensional Visualization of Movement Qualities in Contemporary Dance. / Anjos, Rafael Kuffner dos; Ribeiro, Claudia; Fernandes, Carla.

Proceedings of the 5th International Conference on Movement and Computing. New York, NY, USA : ACM, 2018. p. online 10 (MOCO '18).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Three-Dimensional Visualization of Movement Qualities in Contemporary Dance

AU - Anjos, Rafael Kuffner dos

AU - Ribeiro, Claudia

AU - Fernandes, Carla

N1 - UID/CCI/04667/2016

PY - 2018

Y1 - 2018

N2 - Analyzing and documenting contemporary dance movement data has proven to be a very difficult task due to the vast existence of styles and aesthetics which are characteristic of each individual choreographer. Indeed, identifying movement qualities with the intention of co-relating them to specific meanings and choreographic intentions is practically impossible without taking an artist-driven approach. Moreover, equipping dancers with wearable technology in order to accurately track each of their movements is only applicable in controlled laboratory scenarios, therefore not being a viable approach to analyze large scale real-world rehearsals or performances. This paper describes a visualization system that exposes movement qualities for dance through rendering effects. Combining optical flow analysis with depth video information, we were able to estimate the three-dimensional flow for each point in the cloud. This information was used to color point cloud videos with this information, showing potential to be used for the creation of different rendering effects, which are also discussed in this paper. The data used was captured in a non-intrusive manner during the creation process of a dance piece by Portuguese choreographer Rui Lopes Graça, enabling us to examine nuances and details of the rehearsals' process, which would not be replicable in a laboratory environment.

AB - Analyzing and documenting contemporary dance movement data has proven to be a very difficult task due to the vast existence of styles and aesthetics which are characteristic of each individual choreographer. Indeed, identifying movement qualities with the intention of co-relating them to specific meanings and choreographic intentions is practically impossible without taking an artist-driven approach. Moreover, equipping dancers with wearable technology in order to accurately track each of their movements is only applicable in controlled laboratory scenarios, therefore not being a viable approach to analyze large scale real-world rehearsals or performances. This paper describes a visualization system that exposes movement qualities for dance through rendering effects. Combining optical flow analysis with depth video information, we were able to estimate the three-dimensional flow for each point in the cloud. This information was used to color point cloud videos with this information, showing potential to be used for the creation of different rendering effects, which are also discussed in this paper. The data used was captured in a non-intrusive manner during the creation process of a dance piece by Portuguese choreographer Rui Lopes Graça, enabling us to examine nuances and details of the rehearsals' process, which would not be replicable in a laboratory environment.

KW - 3D Visualization

KW - Contemporary Dance

KW - Motion Capture

KW - Optical Flow

KW - Point Clouds

M3 - Conference contribution

SN - 978-1-4503-6504-8

T3 - MOCO '18

SP - online

BT - Proceedings of the 5th International Conference on Movement and Computing

PB - ACM

CY - New York, NY, USA

ER -

Anjos RKD, Ribeiro C, Fernandes C. Three-Dimensional Visualization of Movement Qualities in Contemporary Dance. In Proceedings of the 5th International Conference on Movement and Computing. New York, NY, USA: ACM. 2018. p. online. 10. (MOCO '18).