A Dual-Stream Transformer Framework for Real-Time Fatigue Monitoring in Basketball Using Multi-Modal Sensor Fusion

Abstract

Aiming at the technical bottlenecks of traditional basketball fatigue monitoring systems in terms of response delay, individual difference adaptation, and environmental robustness, this article proposes a solution based on the collaboration of multi-source sensor fusion and ML (Machine Learning) algorithms of a spatiotemporal attention gating network. A multi-source sensor network is constructed by integrating waterproof and breathable flexible electrodes and a 9-axis IMU (Inertial Measurement Unit) action matrix, and a dual-stream Transformer architecture is constructed to dynamically extract the spatiotemporal characteristics and fatigue status classification of basketball special movements. The system uses a TL (Transfer Learning) framework to complete the dynamic calibration of individual thresholds and combines hardware and algorithm collaborative design to form a closed-loop optimization architecture. The system is deployed and verified in a typical high-humidity environment of the Leshan Olympic Sports Center. The results show that the end-to-end delay of the system reaches 188 ms. The proposed dual-stream Transformer model achieves an AUC (Area Under the Curve) of 0.93 after 50 training cycles, outperforming the CNN-LSTM (Convolutional Neural Network-Long Short-Term Memory) baseline by 9.4%. Individual differences are minimized, with F1-score fluctuation between positions controlled at 0.05. The system demonstrates high robustness, maintaining an average data packet loss rate below 0.25% under harsh conditions. The study shows that this method effectively solves the real-time and individual problems of transient fatigue monitoring in basketball training scenarios in Leshan through dynamic fusion of multimodal sensor data and lightweight design, and breaks through the influence of regional climate on monitoring stability, providing a transferable technical paradigm for basketball training fatigue management in similar environment venues and providing technical support for the prevention of non-contact sports injuries.