This paper focuses on methods of transcribing the functions and activities of gesture, with a specific focus on embodiment, or how the interrelated roles of environment and the body shape mental process and experience. Through a process of repeated experiments with our own custom open-source 3D printed sensors, we illuminate the complexities of tracking even a single point over time, and distinguish between casual gesture and choreographed motion.
CITATION STYLE
Beattie, E., & Schedel, M. (2018). Inscribing Bodies: Notating Gesture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11265 LNCS, pp. 273–283). Springer Verlag. https://doi.org/10.1007/978-3-030-01692-0_19
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