__full__: Vid2coach Top

: Using Retrieval-Augmented Generation (RAG), it adds non-visual workarounds from community resources—such as using touch or smell instead of visual cues—to supplement the original video.

It encourages users to leverage sensory cues (sound, feel) to evaluate progress, empowering them rather than just feeding them instructions. Application: Redefining Cooking and Daily Tasks

: Ongoing transitions like "fry until brown" provide real-time updates as the visual texture shifts. vid2coach top

: It extracts steps from a video, supplements them with tips using RAG (Retrieval-Augmented Generation), and monitors progress via wearable smart glasses.

, it pulls non-visual tips from BLV-specific community resources—for example, suggesting the use of kitchen scissors instead of a knife for safety. Proactive Feedback : It extracts steps from a video, supplements

Currently optimized for cooking; expanding to other crafts is still in progress. Accessibility

to extract high-level steps and demonstration details from existing video content. How the System Works The platform operates through several advanced AI layers: Instruction Extraction This study describes objectives

: Allows users to speak naturally to ask questions like "Does this look done?" while the AI proactively interrupts if an error is detected. Impact Metrics

vid2coach top is interpreted as a tool/workflow that converts short video clips of athletic movements into coaching feedback focused on the athlete’s top (upper-body/core) mechanics. This study describes objectives, data requirements, model/components, evaluation metrics, a step-by-step pipeline, and practical deployment considerations so a small team can build an initial prototype.

: Tells users exactly what remains uncompleted, such as noting "some larger yellow pepper pieces are still on the right side". 4. Tri-Action Temporal Classification

: The system categorizes actions into punctual (quick), iterative (repetitive), and durative (gradual change) to ensure the AI's feedback is timely and relevant. ACM Digital Library