Mindflow

Mindflow is a nine-channel audiovisual installation by ha:ar, four years in development, combining AI, motion capture, dance, architectural CGI, and classical improvisation inside Zülfaris Kadıköy. Balkan Karışman and I joined at the finalization stage, when the archive held dancer body-tracking data and a scan of the venue, but not yet a finished visual language.

My contribution was to turn that body-tracking archive into an interpretable visual system. Ekin Bernay's movement became the starting point; rather than treating mocap as raw coordinates, the data passed through a model of physical action. Gestures were read for intent, then translated into structured values and visualized in TouchDesigner. The dancer's body and the room began to share a vocabulary.

I also built the spatial recording system used while nine musicians watched that footage and improvised. Their performances (position, presence, audio) became a second visualization layer, merging performer, musician, and architectural space. Point-cloud processing tied the channels together; semantic continuity mattered as much as technical sync.

The installation arranges nine videos and nine audio channels in a spiral. It never behaves like a music video timeline. It reads more like a score built from bodies, rooms, and live response.