[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-coaches-athletes-by-reading-form-not-just-reps":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},2600,"ai-coaches-athletes-by-reading-form-not-just-reps","AI Coaches Athletes by Reading Form, Not Just Reps","A research framework pairs computer vision with a vision-language model to score athlete form, fatigue, and technique at national recruitment scale.","India's Sports Authority wants to spot elite talent faster — and a new research framework aims to automate the part that human scouts actually do well.\n\nResearchers have built a multi-agent system that combines MediaPipe's skeletal tracking with Meta's Llama-4-scout vision-language model to assess athletes during mass recruitment drives. The system follows Sports Authority of India protocols and evaluates qualitative markers — spinal articulation, form degradation, fatigue — that simple repetition counters miss entirely. A \"Smart Grid\" chunking strategy breaks video into 3x3 temporal segments, cutting computational overhead by more than 88% without losing the movement continuity that matters for coaching judgments. A self-correction loop has each output cross-checked against quantitative metrics before anything gets written to storage, which is the paper's answer to the hallucination problem that dogs every LLM in high-stakes contexts.\n\nThe RAG layer is the detail worth watching. Coaches can query the system in plain language — \"find athletes with high endurance but poor core rigidity\" — instead of writing SQL against a rigid schema. That shift from structured queries to semantic search is small on paper but meaningful in practice: it puts the analytical tool in the hands of coaches who think in physiology, not databases.\n\nThe system is novel, but it is also a research prototype aligned to one national body's protocols. How it generalizes beyond SAI's specific assessment rubrics — or holds up when a scout tries a query the authors didn't anticipate — is the question the paper doesn't yet answer.","[\"ai\",\"sports-tech\",\"computer-vision\",\"research\"]","2026-06-30T04:00:00.000Z","2026-06-30T08:56:21.088Z","2026-06-30T08:56:24.037Z","published",null,[],"ai",[24,26,27,28],"sports-tech","computer-vision","research",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.28570",0,{"sections":35},[36,40,45,50,55,60,65,70,75,80,85,89,94,99],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":86,"slug":87,"count":83,"latest_published_at":88},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]