Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports

Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports

Abstract This study presents an Internet of Things (IoT)-enabled Deep Learning Monitoring (IoT-E-DLM) model for real-time Athletic Performance (AP) tracking and feedback in collegiate sports. The proposed work integrates advanced wearable sensor technologies with a hybrid neural network combining Te...

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Bibliographic Details
Main Authors: Yang Hu, Yaxing Li, Benlai Cui, Hao Su, Pan Zhu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Internet of things
Edge computing
Deep learning
Athletic performance monitoring
Long short-term memory
Accuracy
Online Access:https://doi.org/10.1038/s41598-025-13949-6
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https://doi.org/10.1038/s41598-025-13949-6

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