Wearable Sensors for Precise Exercise Monitoring and Analysis

The adoption of wearable sensors for precision training has accelerated in recent years, yet most studies and reviews remain device- or feasibility-centric and lack a field-ready decision framework. This review organizes wearable sensing across four monitoring dimensions-physiological, kinematic, biochemical, and dynamic-and maps them onto three training pillars: physical, technical, and tactical. From the perspectives of athletes and coaches, we operationalize quality control, threshold, and feedback loop to translate measurement into action. We critically appraise key limitations, including signal robustness under high-intensity motion, inter-individual variability and limited model generalizability, cross-device data fusion and latency, battery life and wearability, privacy and data ownership, and limited accessibility beyond elite settings. Looking ahead, we advocate a shift from mere multidimensional measurement to a verifiable, reusable, and deployable precision-training ecosystem that delivers actionable metrics and clear decision support for practitioners.

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Publication Details

Journal
Biosensors
Published
2025-11-03
DOI
https://doi.org/10.3390/bios15110734
Citations
6
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
7.66

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article

Wearable Sensors for Precise Exercise Monitoring and Analysis

Bo Su, Bingtian Su, Fengyu Li
6 citations
Biosensors
Context-Aware Activity Recognition Systems
7.66
article

Wearable Sensors for Precise Exercise Monitoring and Analysis

Bo Su, Bingtian Su, Fengyu Li
article en
6 citations

Abstract

The adoption of wearable sensors for precision training has accelerated in recent years, yet most studies and reviews remain device- or feasibility-centric and lack a field-ready decision framework. This review organizes wearable sensing across four monitoring dimensions-physiological, kinematic, biochemical, and dynamic-and maps them onto three training pillars: physical, technical, and tactical. From the perspectives of athletes and coaches, we operationalize quality control, threshold, and feedback loop to translate measurement into action. We critically appraise key limitations, including signal robustness under high-intensity motion, inter-individual variability and limited model generalizability, cross-device data fusion and latency, battery life and wearability, privacy and data ownership, and limited accessibility beyond elite settings. Looking ahead, we advocate a shift from mere multidimensional measurement to a verifiable, reusable, and deployable precision-training ecosystem that delivers actionable metrics and clear decision support for practitioners.

BiosensorsVol. 15(11)
Jinan University (CN), Zhengzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Context-Aware Activity Recognition Systems
7.66
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Wearable Sensors for Precise Exercise Monitoring and Analysis — Bo Su, Bingtian Su, et al. · Biosensors (2025) | TGRS Research Map | TGRS