Alex Tang ¹ and Tyler Boulom ² , ¹ USA, ² Woodbury University, USA

Parkinson's disease creates a long-term rehabilitation problem because patients often need frequent movement therapy, yet access, adherence, and motivation remain difficult to sustain. MirrorMove PD is a prototype therapeutic dance system designed to address that problem through a Flutter mobile app, a Python desktop companion, and a local HTTP control bridge. The mobile app manages authentication, goals, progress, and song selection, while the desktop component displays guided choreography and session playback. Experimental scripts using MediaPipe and reference landmark extraction support future movement analysis and scoring. The project must address three major challenges: reliable pose comparison, dependable phone-to-desktop communication, and meaningful workout metrics. Two preliminary approximate experiments suggest that trust in scoring depends on keeping feedback close to user expectations and that repeated use may improve short-term confidence. Overall, the prototype is promising because it combines evidence-informed dance rehabilitation with a practical home-use delivery model that is accessible, structured, and expandable.

Dance, Exercise, Parkinsonas, Rehabilitation, Flutter