Playing with Soma : Speculating on the Physical Body and Somatic Practice of AI

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationArt Machines 2
Subtitle of host publicationInternational Symposium on Machine Learning and Art 2021 Proceedings
EditorsRichard William Allen
Place of PublicationHong Kong
PublisherSchool of Creative Media, City University of Hong Kong
Pages31-38
Number of pages8
ISBN (print)978-962-442-448-5, 9789624424485
Publication statusPublished - Jun 2021

Conference

TitleArt Machines 2: International Symposium on Machine Learning and Art 2021 (AM2)
LocationCity University of Hong Kong
PlaceChina
CityHong Kong
Period10 - 14 June 2021

Abstract

Current trends in new media art and dance technology have given rise to artworks driven by motion capture (mocap) data and machinelearning algorithms that take the form of immersive media, live performance and projection-based installations. In these works, the human form is still emphasized even when heavily abstracted, and the data remains in a digital and/or virtual realm. In response to these trends, the authors explore the application of laser projections of motion trails to bring data into physical reality, thus metaphorically giving a “body” to generated movement. Somatic movement improvisations (i.e. Contact Improvisation and the Skinner Releasing Technique) will be used for training to teach the attributes of human movement rather than the vocabulary of a set dance technique.

Citation Format(s)

Playing with Soma: Speculating on the Physical Body and Somatic Practice of AI. / Kim, Eugenia S.; Sandor, Christian; Haebich, Jayson et al.
Art Machines 2: International Symposium on Machine Learning and Art 2021 Proceedings. ed. / Richard William Allen. Hong Kong: School of Creative Media, City University of Hong Kong, 2021. p. 31-38.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review