This cross-cultural movement research examines three distinct movement traditions a) Muslim prayers (Salat); b) Tai Chi (Yang Style); and c) Yogic sun salutations (Surya Namaskar). Motion capture technology is used to record one dancer’s body performing each of these movement sequences, from which we launch a cross-comparative movement analysis using physiological, choreographic, and computer science topologies. https://sites.google.com/usc.edu/sacredposes
PI: Dr. Virginia Kuhn, Co-PI: Selwa Sweidan, Dancer: Valerie Chen
“Accumulative Collaboration - Intuiting Hand Choreographies” uses machine knowing to design for contagious embodiment. It is both experimental and site-specific research in which we investigate “embodied knowing” alongside “machine knowing”. In “Accumulative Collaboration”, we worked with an open-source, neural network (a form of artificial intelligence) to facilitate human to human connections and embodied knowing. Participants are asked to improvise gestures with their hands in front of a computer to train a neural network, which learns the movements. The hands train the neural network and a duet between machine and human ensues.