We develop strategies with data, design training with algorithms, and complete games with emotions.
Collaboration between humans and technology is setting a new standard in elite sports. AI Encyclopedia.
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Ultra-precision data collection systems produce performance data at a level of sophistication previously unimaginable.
A data feedback environment is being created where coaches can 'visualize' players' status in numbers, and players can also objectively understand their strengths and weaknesses.
Even in the realm of everyday sports, we are entering an era where everything from daily steps to heart rate and sleep quality are being digitized through smartwatches and fitness tracking systems.
Wearable innovation and advances in data collection technology are making it possible to manage and improve previously invisible areas.
--- From "01_“The Prelude to AI Sports Innovation”"

The core technology is "pose estimation," which allows a computer to pinpoint the positions of human joints in video. An AI model accurately identifies the positions of joints like shoulders, elbows, and knees in real time while watching the video, and tracks movements with an accuracy of over 90%.
Research on video analysis to improve athlete performance and prevent injuries has been ongoing for quite some time, but in the past, separate, expensive cameras and specialized analysis equipment were required.
What was once impossible without expensive equipment is now easily accomplished with a standard camera, opening up enormous possibilities for sports motion analysis.
--- From 「03_“Movement Recognition and Technology Analysis”」

By analyzing accumulated blood sugar data, AI can derive specific customized strategies, such as for example, some players need to consume energy gels a few minutes before a match to maintain blood sugar, while others benefit from small supplements every 15 minutes during the match.
By visualizing their blood sugar and fuel status 24/7, athletes can discover which foods and timing of intake provide the most consistent energy for them.
--- From “06_“Nutrition Strategy Changed by AI”

What's interesting is that the public is also pursuing improved performance just like the elite.
Participating in recreational sports, whether aiming to break records in marathons or testing their physical limits in CrossFit or triathlons, are no longer solely focused on health.
For them, exercise is a challenge, and data is a weapon.
This desire is strongly stimulating the AI-based fitness market.
Strava started out as a simple performance-sharing platform, but now offers elite-level analysis and reporting, satisfying the needs of users. Wearables like the WHOOP band and Oura ring also provide sophisticated metrics like sleep scores, recovery index, and fatigue levels to everyday users.

--- From "09_“AI Fitness”"