SSMT Sports Science Meets Tech

What's real in sports tech right now

Signals β€” what's emerging, with the one question we're watching.   Grades β€” what we've actually assessed against the evidence.

Draft β€” a validation surface, nothing here is published. Signals are forward-looking and lighter than grades; a signal is never a verdict.
πŸ”¬ Lab-stage Computer Vision
A single phone camera is catching up to a motion-capture lab
Markerless pose from one ordinary camera hit 5.5Β° joint-angle accuracy β€” statistically tied with a two-camera rig.
The watch Whether it survives outside a lab floor, in real patients and normal clothing. Rotations are still unusable β€” off by 10–20Β°.
We graded this β†’ SSMT-2026-0006
The claim on the box Wearables & Recovery
β€œAccurate heart rate, right from your wrist.”
Partially supported drift 3/7
Accurate for steady cardio in healthy, light-skinned adults β€” not accurate, full stop.
Full evidence β†’ SSMT-2026-0001
The claim on the box Wearables & Recovery
β€œSee your deep, REM and light sleep every night.”
Partially supported drift 5/7
Directionally useful in aggregate, unreliable for any single night β€” and the accuracy that is well established is a different measurement from the one being sold.
Full evidence β†’ SSMT-2026-0002
🌱 Just appeared AI Athletes
AI is learning to run a simulated human body, muscle by muscle
Open benchmarks now train agents to control a musculoskeletal model on athletic tasks.
The watch It's a simulation milestone, not a training tool. There is zero demonstrated transfer to real athletes yet.
MyoSuite / MyoChallenge β†—
The claim on the box Wearables & Recovery
β€œTrain when your body is ready.”
Partially supported drift 4/7
The supported finding is an efficiency one, not a superiority one.
Full evidence β†’ SSMT-2026-0003
πŸ“ˆ Heating up Wearables & Recovery
Your sweat is becoming a live readout
Skin-worn microfluidic patches read hydration and electrolyte signals from sweat during exercise.
The watch The sensing is real. Whether acting on the numbers beats drinking to a sensible plan is untested β€” that's the gap between a measurement and a benefit.
Microfluidic epidermal sweat sensing β€” Nature Biotechnology review literature β†—
The claim on the box Wearables & Recovery
β€œYour readiness score tells you when to train hard and when to back off.”
Unevaluated drift 7/7
Never tested, in any design. Currently unevaluable by independent parties.
Full evidence β†’ SSMT-2026-0004
πŸ”¬ Lab-stage Wearables & Recovery
Clothes that read your muscles
Strain-sensing textiles can track muscle activation and posture as you move β€” clothing as a sensor network.
The watch Lab demonstrations only. Durability, washing, and validity in real training are open questions.
npj Flexible Electronics β€” textile strain-sensing literature β†—
The claim on the box Computer Vision
β€œLab-grade biomechanics from your phone.”
Partially supported drift 4/7
Genuinely good in the sagittal plane; not usable for rotations; and 'from your phone' is the least-evidenced configuration.
Full evidence β†’ SSMT-2026-0006
The claim on the box Biomechanics
β€œKnow your injury risk before it happens. (measurement component)”
Partially supported drift 3/7
Force magnitude yes; the asymmetry number itself does not reproduce.
Full evidence β†’ SSMT-2026-0007
The claim on the box Injury Science
β€œKnow your injury risk before it happens.”
Contradicted drift 5/7
The best available evidence points the other way.
Full evidence β†’ SSMT-2026-0008
πŸ‘€ On our grading radar Wearables & Recovery
Glucose monitors jumped from diabetes to endurance sport
CGMs are now marketed to healthy athletes as real-time fuelling tools.
The watch We already graded this β€” Unevaluated. During exercise they read 14–34% off, and no trial shows that steering fuelling by the sensor makes you faster.
We graded this β†’ SSMT-2026-0009
The claim on the box Wearables & Recovery
β€œFuel smarter. See how your body responds in real time.”
Unevaluated drift 4/7
Bordering Partially supported for the narrower claim that CGM tracks glucose trends during exercise.
Full evidence β†’ SSMT-2026-0009
The claim on the box Biomechanics
β€œKnow exactly how fast you lifted.”
Supported drift 3/7
Supported for linear transducers and camera devices. Contradicted for IMU/accelerometer devices.
Full evidence β†’ SSMT-2026-0010
The claim on the box Biomechanics
β€œAutoregulate every set.”
Partially supported drift 3/7
Equal on strength; small real gains on jump, sprint and change of direction, often at lower volume.
Full evidence β†’ SSMT-2026-0011
The claim on the box Wearables & Recovery
β€œRecover faster. Train harder tomorrow.”
Partially supported drift 4/7
Accurate about how you feel; unsupported about what you can then do.
Full evidence β†’ SSMT-2026-0012