Multi-Modal Biometric Fusion for Athletic Performance Optimization: Clinical Validation of the Dynamic Multi-Sensor Fusion Classifier (DMSFC).

Authors

Wenzhen Tian, Yafei Chen

Published in

SLAS technology. Pages 100477. Oct 20, 2026. Epub Oct 20, 2026.

Abstract

Integrating real-time biometric monitoring into sports science is increasingly important for optimizing athletic performance and reducing injury risk. However, many existing systems have limited capacity to accurately combine data from multiple biometric sources. This study evaluated the Dynamic Multisensor Fusion (DMSFC) classifier for analyzing physiological and functional data collected from multiple biometric modalities, including electrocardiography (ECG), fingerprint measurements, and facial recognition. A multimodal biometric framework based on DMSFC was developed to monitor and classify key health and performance indicators in elite athletes. The variables evaluated included heart rate (HR), oxygen saturation (SpO₂), blood pressure (BP), flexibility, muscle strength, and endurance capacity. The performance of the classifier was evaluated using accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). After implementing the proposed monitoring framework, improvements were observed in the evaluated performance and health indicators. The mean heart rate decreased from 78 to 66 beats per minute, while oxygen saturation slightly increased from 98% to 99%. Blood pressure decreased from 120/80 mmHg to 110/70 mmHg. Flexibility improved from 32 to 36 cm, muscle strength increased from 105 to 122 pounds, and endurance capacity increased from 20 to 24 minutes. Among the evaluated classifiers, DMSFC showed a strongest overall performance (i.e., accuracy of 0.94, sensitivity of 0.91, specificity of 0.96, and AUC of 0.97). These findings suggest that DMSFC could be capable of providing an effective framework for multimodal biometric analysis in sports science. Its use may support athlete assessment, facilitate the development of individualized training programs, and contribute to injury prevention strategies. Because the reported physiological changes were observed after implementation of the framework, further controlled studies are needed to determine whether they were caused by the monitoring system, the associated exercise program, or other factors.

PMID:
42901384
Bibliographic data and abstract were imported from PubMed on 21 Oct 2026.

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