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Cover image for How Simone Biles Uses Technology to Perfect Her Gymnastics
David Okonkwo
David Okonkwo
Health and science correspondent specializing in biotech, public health, and environmental science
June 9, 2026·5 min read

How Simone Biles Uses Technology to Perfect Her Gymnastics

Simone Biles leverages wearable sensors, AI motion analysis, and virtual reality to enhance performance and prevent injury after a recent health scare. Learn how tech keeps her at the top.

Sports Tech

Wearable Sensors Track Simone Biles's Vital Signs to Prevent Injury

Simone Biles’s recent health scare — which she described as “one of, if not the scariest experience of my life” — underscores the critical role technology plays in monitoring elite athletes. In early June 2026, the seven-time Olympic champion shared Instagram posts featuring a hospital bracelet and a screenshot of a heart-rate monitor, revealing she had suffered a health incident that she characterized as “almost dying.” While Biles has not disclosed the exact cause, the incident highlights how wearable sensors have become a first line of defense for athletes pushing physiological limits.

Biles’s training regimen incorporates continuous biometric monitoring. Heart-rate variability (HRV) trackers, sleep sensors, and exertion monitors feed real-time data to her coaching team, who adjust intensity and recovery windows accordingly. This data-driven approach helped detect the warning signs that preceded her scare, allowing medical intervention before the situation worsened. For an athlete whose routines involve forces exceeding four Gs, such vigilance is nonnegotiable.

“I’m not one to normally share things like this because I value privacy in today’s age. But almost dying wasn’t on my bingo card earlier this week.” — Simone Biles, via Instagram Stories
  • Heart-rate monitors track Biles’s pulse during every practice session, flagging anomalies that may indicate overtraining or cardiac stress.
  • Wearable patches measure skin temperature and sweat composition to detect early signs of dehydration or heat exhaustion.
  • Sleep trackers ensure Biles gets optimal recovery, with her coaches using the data to schedule high-intensity vs. low-intensity training days.
  • GPS-embedded garments monitor movement patterns, helping identify fatigue-related changes in biomechanics that increase injury risk.

The system mirrors approaches used in other high-stakes sports — for instance, how Lando Norris leverages biometrics to manage the physical toll of Formula 1 racing. For Biles, the payoff is clear: she continues to compete at 29, an age when many gymnasts have long retired.

AI Motion Analysis Breaks Down Biles's Complex Routines

Beyond vital signs, Biles uses artificial intelligence to perfect the mechanics of her skills. AI-powered motion capture systems, employing arrays of cameras and inertial sensors, track every joint angle and limb position during her routines. The system processes thousands of data points per second, generating a 3D skeleton that coaches can rotate and zoom into to identify micro-imperfections.

The AI compares Biles’s movements against optimal biomechanical models derived from her own best performances and those of other elite gymnasts. This quantitative feedback has allowed her to refine skills like the Yurchenko double pike with millimeter precision — a level of detail impossible for human observation alone. In competition, a slight hip angle deviation or an off-center hand placement can cost hundredths of a point; AI detects these before they become habits.

  1. Cameras capture Biles from multiple angles, creating a digital twin of her performance.
  2. Machine learning algorithms calculate forces on joints and predict the likelihood of injury from specific movement patterns.
  3. Coaches receive real-time feedback on a tablet, allowing mid-session corrections rather than waiting for video review.
  4. Historical analysis tracks progress over months, showing improvement in technique transfer between skills.

The technology is particularly valuable for high-difficulty elements that Biles has pioneered. She is the only gymnast to attempt some of her signature skills; AI modeling helps ensure she executes them safely and consistently. The system’s ability to simulate alternative movement pathways also aids in choreographing new routines, reducing the trial-and-error risk that has sidelined many gymnasts.

Virtual Reality Gives Biles a Mental Edge in Training

While physical preparation is paramount, Biles also invests in mental training through virtual reality. She uses VR headsets to rehearse routines in immersive simulations that replicate the sensory overload of competition arenas — the roar of a crowd, the flashing lights, the pressure of a final pass. This form of cognitive training builds neural pathways that improve execution under stress.

VR allows Biles to practice difficult landings repeatedly without any physical impact, reducing joint wear while sharpening spatial awareness. During her time away from competition after the Tokyo Olympics, she used VR to stay mentally connected to her skills. The technology also helps her manage performance anxiety by desensitizing her to high-stakes environments.

  • Simulations recreate the exact layout of major venues, including the Olympic arena, so Biles can visualize her entries and exits.
  • Audience noise can be modulated from silence to full roar, training her to maintain focus under distraction.
  • VR replays of her own routines allow her to review mistakes from a first-person perspective, correcting errors internally before the next physical attempt.
  • Coaches can insert virtual obstacles or change lighting conditions to test adaptability.

This approach complements the physical work done with wearables and AI, creating a holistic training ecosystem. As Biles prepares for potential competition in the 2028 Olympics — she has not confirmed her participation — these technologies will be central to extending her career and pushing the boundaries of women’s artistic gymnastics.

Key Takeaways

The integration of technology into Simone Biles’s training regimen illustrates how elite athletes are leveraging data and AI to achieve peak performance while safeguarding their health. Key facts from this analysis:

  • Simone Biles uses a combination of wearable biometric sensors, AI motion capture, and virtual reality to optimize performance and prevent injury.
  • In June 2026, Biles experienced a serious health scare that she described as “almost dying,” underscoring the importance of real-time health monitoring through wearables like heart-rate monitors.
  • AI motion analysis tracks her movements down to the millimeter, enabling technical refinements that human coaches alone cannot provide — particularly for her signature skills like the Yurchenko double pike.
  • Virtual reality training allows Biles to mentally rehearse routines under simulated competition pressure without physical wear, reducing injury risk and enhancing focus.
  • These technologies collectively contribute to Biles’s longevity in a sport where most gymnasts retire by their early 20s; she continues to compete at age 29.
  • The systems in use by Biles reflect a broader trend in sports technology, with parallels in fields like Formula 1, where biometrics and simulation are standard practice.