Interactive digital fitness platforms tailored for adaptive sports.
AI systems that continuously adjust periodization and sessions.
Customized prosthetics, wheelchairs, and assistive tech for elite para-athletes.
Virtual simulations of athletes for injury prediction and workload management.
Standards for transparency, appeal, and accountability in automated calls.
Auditing AI recruitment tools to prevent bias in talent identification.
Self-sovereign tools for managing permissions across teams and vendors.
Unified data layers integrating tracking, wearables, labs, and medical records.
AI-driven motion capture requiring no physical markers or suits.
Frameworks for protecting athlete physiological data ownership.
Software-based electronic line-calling and rule enforcement.
Systems mapping physical and cognitive profiles to optimal sports pathways.
Methods to detect and prevent gene manipulation in sports.
Virtual environments for tactical cognitive training and decision making.
Embedded accelerometers tracking head impacts and concussion risk.
Machine learning models forecasting soft-tissue and overuse injuries.
Embedded IMUs measuring spin, impact, and swing kinematics in equipment.
Wearables tracking brain signals to assess cognitive state and reaction time.
Guidelines for brain interfaces and assistive robotics in competitive sport.
Policies preventing misuse of athlete metrics in contracts and negotiations.
Automated feedback systems for immediate technique correction.
Tele-assessment and coaching pipelines connecting athletes to global experts.
Integrated workflows guiding rehab and clearance decisions after injury.
Conductive fibers embedded in athletic wear for physiological monitoring.
Fields, courts, and tracks with embedded force and position sensors.
Wearable robotic assistance for resisted and assisted movement training.
Multi-agent analytics extracting team tactics and spatial patterns.
In-shoe sensors measuring ground reaction forces and pressure distribution.
