Movement Awareness through Emotion Based Aesthetic Visualisation

We present an early system and user studies for visualising movement experience and awareness via an AI based generative art system, which generates an artistic depiction of the state, flow and emotion of human movement allowing the casual user/dancer to be aware of their movement choices. For this initial non-interactive setup, visualisation is based on long exposure photography and expert dance analysis in the form of movement trace forms and emotional characteristics. We evaluate our system through two user studies on emotional reception of parametric generative art and then realise this first stage application in movement awareness artistic (painterly) visualisation.

Content

Author and article information

Contributors

Steve DiPaola

Sara Salevati

Kristin Carlson

Thecla Schiphorst

Conference

Publication date: July 2016

Publication date (Print): July 2016

Pages: 124-132

Affiliations

[1 ] Simon Fraser University

Canada

Article

DOI: 10.14236/ewic/EVA2016.27

SO-VID: 3cccfa33-c64b-4be4-a9ac-8d53994cd2fd

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Electronic Visualisation and the Arts

Conference acronym: EVA

Conference number:

Conference location: London, UK

Conference date: 12 - 14 July 2016

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Electronic Visualisation and the Arts

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2016.27

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

J. Armand 2014 Dance Prints ext-link-type="uri" xlink:href="http://iarmandstudio.com/dance-prints/">http://iarmandstudio.com/dance-prints/
T.W. CalvertC. WelmanS. GaudetT. Schiphorst,C. Lee 1999 Composition of multiple figure sequences for dance and animation The Visual Computer 7 2 114 121
K. CarlsonT. SchiphorstC. Shaw 2011 ActionPlot: A Visualizing Tool for Contemporary Dance Analysis Proceedings of Computational Aesthetics.
S. DiPaolaS. Salevati 2014 Using a Creative Evolutionary System for Experiencing the Art Electronic Imaging & the Visual Arts, Italy 88 93
S. DiPaolaS. Salevati 2014 AI based analysis and generation of aesthetic interactive visualizations of art styles Computational Aesthetics, Poster and Demo Vancouver, BC, Canada
S. DiPaola, R. McCaig, K. Carson,S. Salevati, 2013 Adaptation of an Autonomous Creative Evolutionary System for Real-World Design Application Based on Creative Cognition Computational Creativity (ICCC), 40 47
S. DiPaolaC. RiebeJ. Enns 2010 Rembrandt’s Textural Agency: A Shared Perspective in Visual Art and Science Leonardo 43 3 145 151
S. DiPaola 2009 Exploring a Parameterized Portrait Painting Space International Journal of Art and Technology 2 1-2 82 93
S. DiPaola 2007 A Knowledge Based Approach to Modeling Portrait Painting Methodology Electronic Visualisation and the Arts EVA London, UK
S. DiPaola 2005 Evolving Creative Portrait Painter Programs Using Darwinian Techniques with an Automatic Fitness Function Electronic Visualisation and the Arts, London, UK
C. HsiehA. Luciani 2005 Generating dance verbs and assisting computer choreography ACM on Multimedia, 774 782
D. JoshiR. Datta et.al. 2011 Aesthetics and Emotions in Images: A Computational Perspective IEEE Signal Processing 28 5 94 115
B. KortR. ReillyR.W. Picard 2001 An affective model of interplay between emotions and learning: Reengineering educational pedagogy Proc. IEEE on Advanced Learning Technologies, 43 46
M+M (n.d.) Movement + Meaning middleware project ext-link-type="uri" xlink:href="http://www.mplusm.ca">http://www.mplusm.ca 3 June 2015
J.A. Russell 1980 A circumplex model of affect Personality and Social Psychology 39 6 1161 1178
S. SalevatiS. DiPaola 2015 Enhancing Viewer’s Emotional Connections to the Traditional Art Creative Process via an AI Interactive System Electronic Imaging & the Visual Arts Florence, Italy 84 91

Comments

Comment on this article

[1] J. Armand 2014 Dance Prints ext-link-type="uri" xlink:href="http://iarmandstudio.com/dance-prints/">http://iarmandstudio.com/dance-prints/

[2] T.W. CalvertC. WelmanS. GaudetT. Schiphorst,C. Lee 1999 Composition of multiple figure sequences for dance and animation The Visual Computer 7 2 114 121

[3] K. CarlsonT. SchiphorstC. Shaw 2011 ActionPlot: A Visualizing Tool for Contemporary Dance Analysis Proceedings of Computational Aesthetics.

[4] S. DiPaolaS. Salevati 2014 Using a Creative Evolutionary System for Experiencing the Art Electronic Imaging & the Visual Arts, Italy 88 93

[5] S. DiPaolaS. Salevati 2014 AI based analysis and generation of aesthetic interactive visualizations of art styles Computational Aesthetics, Poster and Demo Vancouver, BC, Canada

[6] S. DiPaola, R. McCaig, K. Carson,S. Salevati, 2013 Adaptation of an Autonomous Creative Evolutionary System for Real-World Design Application Based on Creative Cognition Computational Creativity (ICCC), 40 47

[7] S. DiPaolaC. RiebeJ. Enns 2010 Rembrandt’s Textural Agency: A Shared Perspective in Visual Art and Science Leonardo 43 3 145 151

[8] S. DiPaola 2009 Exploring a Parameterized Portrait Painting Space International Journal of Art and Technology 2 1-2 82 93

[9] S. DiPaola 2007 A Knowledge Based Approach to Modeling Portrait Painting Methodology Electronic Visualisation and the Arts EVA London, UK

[10] S. DiPaola 2005 Evolving Creative Portrait Painter Programs Using Darwinian Techniques with an Automatic Fitness Function Electronic Visualisation and the Arts, London, UK

[11] C. HsiehA. Luciani 2005 Generating dance verbs and assisting computer choreography ACM on Multimedia, 774 782

[12] D. JoshiR. Datta et.al. 2011 Aesthetics and Emotions in Images: A Computational Perspective IEEE Signal Processing 28 5 94 115

[13] B. KortR. ReillyR.W. Picard 2001 An affective model of interplay between emotions and learning: Reengineering educational pedagogy Proc. IEEE on Advanced Learning Technologies, 43 46

[14] M+M (n.d.) Movement + Meaning middleware project ext-link-type="uri" xlink:href="http://www.mplusm.ca">http://www.mplusm.ca 3 June 2015

[15] J.A. Russell 1980 A circumplex model of affect Personality and Social Psychology 39 6 1161 1178

[16] S. SalevatiS. DiPaola 2015 Enhancing Viewer’s Emotional Connections to the Traditional Art Creative Process via an AI Interactive System Electronic Imaging & the Visual Arts Florence, Italy 84 91

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