: It segments video transcripts into high-level steps and "atomic actions," making complex tasks more manageable.
The story of is one of transforming everyday technology into a bridge for accessibility. Originally developed as a research project featured at the symposium, Vid2Coach was designed to help blind and low-vision (BLV) vid2coach top
Every athlete knows the phenomenon of the “kinesthetic illusion”: you feel like your knees are bent deep enough in a squat, but the video shows a half-rep. You swear your tennis racket face was closed during the serve, yet the ball sails long. Traditional coaching relies on verbal correction and occasional video playback, which is often viewed passively after a session ends. This creates a temporal disconnect between action and analysis. Vid2Coach solves this by integrating real-time, AI-driven tagging and comparative analysis. By overlaying a wireframe skeleton onto the user’s video and comparing it to a gold-standard model, the platform highlights discrepancies immediately, turning a two-hour practice into a series of micro-iterations. : It segments video transcripts into high-level steps
Vid2Coach is an AI-powered system designed to transform standard how-to videos into interactive, wearable assistants specifically for blind and low-vision (BLV) You swear your tennis racket face was closed
The "top" feature of vid2coach is its ability to process movement in real-time. Whether you are perfecting a golf swing, a tennis serve, or a squat, the AI identifies key joint angles and postural misalignments. Instead of guessing why your shot is off, you get a data-backed explanation instantly. 2. Accessibility for All Levels
The days of relying solely on "feel" are ending. Human proprioception (the sense of self-movement) is notoriously unreliable. An athlete feels like they are squatting to parallel, but the video proves they are six inches high.