Avansert FoU i KI-basert teknikkanalyse og tilbakemelding for innendørs klatreprestasjon
Godkjenningen dokumenterer en skattefradragsordning, men kilden publiserer ikke faktisk skattefradrag per prosjekt.
Prosjektopplysninger
- Prosjektperiode
- Instrument
- Skatte-/avgiftsfordel
- Støttegiver
- SkatteFUNN / Norges forskningsråd
- Vedtaksdato
- Program/aktivitet
- SkatteFUNN
- Prosjekttype
- SkatteFUNN-prosjekt
- Kommune
- Oslo
- Fylke
- Oslo
Offentlig prosjektsammendrag
Belay AI is developing the first AI-based system for climbing technique analysis. While climbing is growing rapidly worldwide, climbers today rely on informal coaching and manual video recording, which provide limited and inconsistent feedback. Our goal is to deliver a scalable solution that automatically records climbs, analyzes movements, and provides real-time feedback on efficiency, balance, and injury risk through a mobile app. The main challenge is that no AI models or datasets currently exist for climbing. Movements are complex, three-dimensional, and difficult to analyze with standard tools. To solve this, we will collect and label climbing data, develop specialized AI models, and design algorithms that transform motion into clear, useful technique insights. The system will be validated with professional climbers and coaches and optimized for real-time use in gyms. The outcome will be a new tool that improves training, prevents injuries, and enhances the climbing experience.
Kilde og proveniens
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Åpne Forskningsrådets SkatteFUNN-oversiktMottaker kobles med organisasjonsnummer. Program og prosjektidentitet forblir kildeavgrenset.
Ikke publisert er en egen tilstand og betyr verken null eller ukjent utbetaling.