Dancing in Data: Representation, Repetition and Recreation
Hansen, Lise Amy
Nova Science Publishers
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Our research has inspired us to abandon the normative tendency to design for the average body, in favour of connecting more closely to the holistic, nuanced and inter-subjective experience of the mover. This represents desire to attend to the richness and strangeness of movements expressed through the body. Through computer vision techniques, Dancing in Data contributes to the discourse for exploring kinaesthesia, and in so doing aims to improve understanding for how movement can be rendered to reveal a more extensive bodily repertoire that resists analysis and deflects from cognitive boundaries.
Functional Neurology, Rehabilitation and Ergonomics;
Keay-Bright, W. & Hansen, L.A. (2017) 'Dancing in Data: Representation, Repetition and Recreation', Functional Neurology, Rehabilitation and Ergonomics, 7 (1) pp 25-30
Article published in Functional Neurology, Rehabilitation and Ergonomics.
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))