Dancing The Algorithm

Dancing the Algorithm (DaTA) is a process-led research project that investigates the intersection of embodied movement and computational logic through choreographic experimentation. Developed in collaboration with dance artist Dapheny Chen and creative agency Serial Communication, the project explores how algorithmic structures can be expressed through the dancing body, and conversely, how embodied motion can inform digital systems.

As part of the development team, I worked on processing and integrating motion capture data within Unreal Engine, translating Dapheny’s individually coded movement signatures into reactive digital counterparts. Using machine learning, we examined patterns within her choreographic vocabulary to explore potential frameworks for encoding, classifying, and generating new movement sequences.

DaTA functions as both an artistic exploration and a technical inquiry into the possibilities of archiving, understanding, and reimagining movement through data. The prototype (v1.0) culminated in a duet between live and computationally mediated bodies, forming the foundation for future iterations.

The project is incubated by Performing Arts x Tech Lab 2023/24, supported by NAC and Esplanade, with Keio-NUS CUTE Center as technology consultant. It was also presented at the Istanbul Digital Art Festival 2024 and Arts Korea Lab 2024.