Cursive Calligraphy in 3D and Bio-Ink

Abstract

Abstract This paper presents a generative approach to creating dynamic 3D cursive calligraphy by integrating motion and bio-data captured by EEG and EMG sensors with particle systems driven by vector fields. The artwork created through this method metaphorically and visually represents a calligrapher’s energy, inspired by the traditional concept of qi. The authors use the term bio-ink to describe the visualization technique of this digital sculpture, which uses bio-data as parameters to control the flow and dynamism of the particles. Utilizing Unreal Engine 5, the authors create a dynamic 3D artwork that inspires further investigation into the therapeutic benefits of calligraphy highlights the potential use of biofeedback in skill development, and paves the way for combining traditional arts with artists’ life-data.