Held at the Royal Central School and organised by Kate Elswit and Tia-Monique Uzor, I was invited to join the international gatherings on Race, Motion Data, and Artificial Intelligence alongside academics and creatives working in dance and technology.
One of my favourite moments was to explore motion capture’s settings for dancing bodies.
Within the exploration, we quickly noticed the lack of accuracy in capturing pelvic tilts and lumbar spinal motions. Despite testing hacks developed by Thomas Talawa Prestø, to counter automatic calibrations, movement fidelity and dynamics were still lost. Meaning that today the capture of dance forms, such as some Caribbean and West African dances, will lack essential details to be rendered accurately. Unless going through heavy motion re-targeting, which often still omits crucial characteristics and nuances.
It highlights the importance of continuously testing technologies, in a multitude of situations, in order to improve and innovate through current limitations.
Full blog available HERE.
