Wearables Fail Accurately Measuring Individual Exercise Benefits
Jennifer L. Corso and colleagues (JMIR Mhealth Uhealth, 2025) review limitations of consumer wearables in quantifying individualized exercise benefits, citing sensor interferences, nonstandard validation, and indirect estimations. They analyze shortcomings of optical sensors and current physiological metrology, and highlight emerging optical modeling and spectroscopic approaches that may reveal novel biometric insights. The authors call for individualized, non-population-based sensing to reduce disparities and improve clinical and performance outcomes.
Key Points
- 1Identify sensor shortcomings: optical noise, nonstandard validation, and indirect estimations limit individualized metrics
- 2Explain significance: population-based statistics obscure individual physiological responses and perpetuate measurement disparities
- 3Recommend adoption: advanced optical modeling and spectroscopy to enable personalized exercise efficacy and reduce disparities
Scoring Rationale
Addresses widespread wearable measurement limitations with practical sensing recommendations, but lacks new empirical validation or large-scale trials.
Sources
Public references used for this report.
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