Archiving Body Movements: Collective Generation of Chinese Calligraphy
Aven Le Zhou, Jiayi Ye, Tianchen Liu, Kang Zhang
TL;DR
This work addresses how to archive body movements by transforming real-time motion into Chinese calligraphy through an interactive generative system named Wushu. The approach combines motion capture, bilingual image-to-text captioning, and calligraphy-inspired layout algorithms to produce a growing compendium and digital archive of audience movements. Its key contributions include an end-to-end workflow from motion input to calligraphic output, a participatory installation that treats audiences as co-creators, and a scalable archive that invites discussion of Chinese characters and calligraphy. The work demonstrates a novel intersection of embodied interaction, AI-generated painterly content, and traditional calligraphic aesthetics with potential for public engagement and cultural discourse.
Abstract
As a communication channel, body movements have been widely explored in behavioral studies and kinesics. Performing and visual arts share the same interests but focus on documenting and representing human body movements, such as for dance notation and visual work creation. This paper investigates body movements in oriental calligraphy and how to apply calligraphy principles to stimulate and archive body movements. Through an artwork (Wushu), the authors experiment with an interactive and generative approach to engage the audience's bodily participation and archive the body movements as a compendium of generated calligraphy. The audience assumes the role of both writers and readers; creating ("writing") and appreciating ("reading") the generated calligraphy becomes a cyclical process within this infinite "Book," which can motivate further attention and discussions concerning Chinese characters and calligraphy.
