Carol Ruohan Hao                                                                                                                                                                                                                 

CYPHER (V2.0) 
©26 







How can AI sense not just how street dance moves, but how it feels?

CYPHER 2.0 is a webcam-based prototype that translates the embodied textures of street dance into responsive visual systems. Focusing on hiphop, locking, and breaking, the project explores how AI-assisted recognition can detect qualities such as bounce, pause, weight, speed, and momentum, then amplify them through real-time visual responses.

It extends my previous research on choreography and digital embodiment into a live interactive experience, where the dancer’s body becomes both the input and the interface.

Prototype Logic




DANCER MOVEMENT
- live body movement







WEBCAM INPUT
- camera capture







AI  MOVEMENT RECOGNITION
- bounce / pause/ momentum









RESPONSIVE VISUAL OUTPUT
- real time visual response





Prototype Demo



HIPHOP PROTOTYPE
2026

Bounce / Groove / Weight


- Movement texture
Hiphop is approached through continuous bounce, groove, and weighted rhythm.

- Visual response
When the system detects grounded bounce and weight transfer, it generates a circular aura field that expands, compresses, and morphs around the dancer.

- Aim
To enhance hiphop’s grounded bounce by making rhythm, weight transfer, and elastic rebound visible in real time.







LOCKING PROTOTYPE
2026

Fame / Pause / Speed


- Movement texture
Locking is approached through framed gestures, sharp stops, and rhythmic changes in speed.

- Visual response
When the system detects large limb extensions, pauses, and directional shifts, it generates glowing contours and motion traces that outline the dancer’s body frame.

- Aim
To enhance locking’s angular structure and punctuated rhythm by making frame changes, speed shifts, and moments of pause visible in real time.







BREAKING PROTOTYPE
2026

Rotation / Force / Momentum


- Movement texture
Breaking is approached through rotational speed, floor-based momentum, and explosive release.

- Visual response
When the system detects fast rotation, floor contact, and forceful directional movement, it generates particle-based traces that scatter outward from the dancer.

- Aim
To enhance breaking’s physical intensity by making velocity, centrifugal force, and explosive momentum visible in real time.







Tools & Methods
vibe-coded prototyping / interactive experience design / movement analysis / AI visual design / motion compositing