Health Data Monitoring Technology and Application Effectiveness Evaluation of Textile-Based Smart Sensing Equipment in Sports Training Scenarios
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Abstract
Textile-based smart sensing technologies have emerged as a promising platform for continuous physiological monitoring and wireless information acquisition in wearable systems, offering significant potential for intelligent healthcare and human-centered electromagnetic sensing applications. This study systematically investigates the monitoring technologies and application effectiveness of textile-based smart sensing equipment in sports training scenarios by integrating flexible conductive materials, multimodal signal acquisition, wireless transmission, and data fusion strategies into a unified health monitoring framework. A comprehensive evaluation system covering physiological status, movement posture, and environmental adaptation is established to assess monitoring performance under representative speed skating and soccer training conditions. Experimental results demonstrate that the proposed textile-based sensing system achieves heart rate monitoring errors below 3%, joint angle measurement errors below 2.5%, and superior real-time responsiveness compared with conventional monitoring approaches, while improving training optimization efficiency by more than 30% and reducing sports injury incidence by approximately 50%. In addition, the developed three-dimensional evaluation framework effectively quantifies technical performance, application adaptability, and practical value across different training scenarios. The proposed methodology provides a scalable solution for wearable intelligent sensing and offers valuable references for flexible electromagnetic sensing systems, body-area communication networks, and next-generation smart textiles requiring reliable signal acquisition and robust data transmission.
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References
V. Mach, J. Vojtesek, M. Adamek, et al., “Smart IoT-Based Temperature-Sensing Device for Energy-Efficient Glass Window Monitoring,” Future Internet, vol. 17, no. 12, pp. 576-576, 2025, doi: 10.3390/fi17120576.
A. Mondal, S. Sinha, and V. Manivannan, “A Smartphone Assisted Portable Sensing Device for Turn-on Fluorometric Detection of As3+ Ion Using an AIE Active Quinazolinone Derivative,” ChemistrySelect, vol. 10, no. 40, Art. no. e04626-e04626, 2025, doi: 10.1002/slct.202504626.
S, “J L, D,” K K, A. A I. Discussion of An Intelligent Cloud-Based IoT-Enabled Multimodal Edge Sensing Device for Automated, Real-Time, Comprehensive, and Standardized Water Quality Monitoring and Assessment Process Using Multisensor Data Fusion Technologies. Journal of Computing in Civil Engineering, pp. 40(1), 2026, doi: 10.1061/JCCEE5.CPENG-6735.
C. Chaiyachati, K. Khemtonglang, W. Yosburi, et al., “A Palm-Sized, Smartphone-Coupled, and Cost-Effective Biosensing Device for Fluid-Based Alcohol Detection,” Journal of The Electrochemical Society, vol. 172, no. 6, pp. 067509-067509, 2025, doi: 10.1149/1945-7111/ADDE87.
N. Nghia N, D. Minh C T, T. Khoa D, et al., “A smartphone-based portable device for Ag+ sensing using eco-synthesized carbon dots from mandarin peels,” The Analyst, 2025, doi: 10.1039/D5AN00314H.
Y. Juan, Z. Yuan, Z. Chen, et al., “Digitalization technology based research on intelligent temperature sensing device for transformers,” Scientific Reports, vol. 15, no. 1, pp. 14975-14975, 2025, doi: 10.1038/s41598-025-99082-w.
N. Orachorn, F. Davis, and O. Bunkoed, “Mesoporous carbon/N-doped graphene quantum dots integrated molecularly imprinted polymer explored as smartphone-assisted optosensing device for terbuthylazine detection,” Journal of Food Composition and Analysis, vol. 140, pp. 107195-107195, 2025, doi: 10.1016/j.jfca.2025.107195.
Y. Mao, N. Jing, and Y. Guo, “Real-time motion trajectory training and prediction using reservoir computing for intelligent sensing equipment,” The Review of scientific instruments, pp. 96(1), 2025, doi: 10.1063/5.0233064.
S. Zhu, C. Wei, Y. Xia, et al., “Portable paper-based sensing device by bimetallic layered hydroxide immobilization for visual analysis of uric acid on a smartphone platform,” Microchemical Journal, vol. 208, pp. 112428-112428, 2025, doi: 10.1016/j.microc.2024.112428.
W. Peng, Ni, R. Zhu, et al., “Triboelectric-electromagnetic hybrid wind energy harvesting and multifunctional sensing device for self-powered smart agricultural monitoring,” Nano Energy, vol. 131, no. PB, pp. 110272-110272, 2024, doi: 10.1016/j.nanoen.2024.110272.
N. Promphet, C. Thanawattano, C. Buekban, et al., “Smartphone based wearable sweat glucose sensing device corre lated with machine learning for real-time diabetes screening,” Analytica Chimica Acta, vol. 1312, Art. no. 342761-, 2024, doi: 10.1016/j.aca.2024.342761.
X. He, Z. Zhang, H. Zhou, et al., “Research on Wireless Power Transfer Method for Intelligent Sensing Device of Non-Directly Buried Distribution Cables,” Electronics, pp. 13(8), 2024, doi: 10.3390/electronics13081411.
L. Mengyuan, Z. Hanchuang, F. Yikun, et al., “3D-printed colorimetric copper ion detection kit and portable fluorescent sensing device using smartphone based on ratiometric fluorescent probes,” Analytica Chimica Acta, vol. 1286, pp. 341980-341980, 2024, doi: 10.1016/j.aca.2023.341980.
S. Francisco M and J, “F O, C,” T O M, et al. Development of Smart Irrigation Equipment for Soilless Crops Based on the Current Most Representative Water-Demand Sensors. Sensors, vol. 23, no. 6, pp. 3177-3177, 2023, doi: 10.3390/s23063177.
C. Yuanhong, C. Ziyan, X. Zhaohui, et al., “Smart sensing device for formaldehyde that based on uniform lanthanide CPs microsphere,” Journal of Molecular Structure, pp. 1281, 2023, doi: 10.1016/j.molstruc.2023.135004.
Y. Xu, A. Yesus, J. Li, et al., “A New Technology for Structural Health Monitoring Based on Light-weight Wireless Self-Pow ered Sensing Equip- ment,” Lecture Notes in Civil Engineering, pp. 219-231, 2025, doi: 10.1007/978-981-96-1627-5_18.
R. Mafalda, L. Rongrong, P. Giorgio, et al., “A Smart Modular IoT Sensing Device for Enhancing Sensory Feedbacks in Surgical Robotics,” Applied Sciences, vol. 12, no. 16, pp. 8083-8083, 2022, doi: 10.3390/app12168083.
H. Mostafa, S. Nicolai, W. Ju, et al., “Integrated Sensing Devices for Disease Prevention and Health Alerts in Smart Homes,” Studies in health technology and informatics, vol. 291, pp. 39-61, 2022, doi: 10.3233/SHTI220007.
H. Zhuang, L. Yang, H. Cong, et al., “An Intelligent Graphene-Based Biosensing Device for Cytokine Storm Syndrome Biomarkers Detection in Human Biofluids,” Small (Weinheim an der Bergstrasse, Germany), vol. 17, no. 29, Art. no. e2101508-e2101508, 2021, doi: 10.1002/smll.202101508.
P. Jiantao, Q. Lubin, W. Quanbo, et al., “An integrated liquid crystal sensing device assisted by the surfactant-embedded smart hydrogel,” Biosensors and Bioelectronics, vol. 187, Art. no. 113313-, 2021, doi: 10.1016/j.bios.2021.113313.
L. Binghan, W. Jihong, T. Honghua, et al., “A self-designed versatile and portable sensing device based on smart phone for colorimetric detection,” Analytical and bioanalytical chemistry, vol. 413, no. 2, pp. 533-541, 2020, doi: 10.1007/s00216-020-03024-6.
R. Jordi, D. Martin, L. Erwan G, et al., “Chemically-modified cellulose paper as smart sensor device for colori metric and optical detection of hydrogen sulfate in water,” Chemical communications (Cambridge, England), vol. 52, no. 12, pp. 2525-8, 2016, doi: 10.1039/c5cc09889k.
P. Bresnahan J, T. Wirth, T. Martz, et al., “Equipping smart coasts with marine water quality IoT sensors,” Results in Engineering, vol. 5, no. C, pp. 100087-100087, 2020, doi: 10.1016/j.rineng.2019.100087.
F. Yasubumi, Y. Takahiro, and N. Wataru, “Development of Smart Sensing Devices Based on Superior Properties of New FeCo Magnetostrictive Alloy,” The Proceedings of Mechanical Engineering Congress, Japan, vol. 2018, no. 0, Art. no. J0460405-J0460405, 2018, doi: 10.1299/jsmemecj.2018.j0460405.
J. Rigelsford, “Smart temperature sensing device,” Sensor Review, pp. 21(3), 2001, doi: 10.1108/sr.2001.08721cad.025.
D. Morian and D. Frith, “Data Quality Monitoring for 3D Automated Data Collection Equipment,” 2022, doi: 10.26226/m.63285c6cf30377bc3baf9b01.
J. Song, Q. Cheng, S. Zhu, et al., ““Smart” Materials for Biosensing Devices: Cell-Mimicking Supramolecular Assemblies and Colorimetric Detection of Pathogenic Agents,” Biomedical Microdevices, vol. 4, no. 3, pp. 213-221, 2002, doi: 10.1023/A:1016000530783.
Q. Ye, J. Hu, D. Wu, et al., “Smart construction of an efficient enantioselective sensing device based on bioactive tripeptide,” Analytical Methods, vol. 11, no. 14, pp. 1951-1957, 2019, doi: 10.1039/C9AY00331B.
T. Akagi, S. Dohta, H. Matsushita, et al., “Development of Low-cost Intelligent Wearable Motion Sensing Device Using Embedded Controller,” Procedia Engineering, vol. 41, pp. 143-149, 2012, doi: 10.1016/j.proeng.2012.07.154.
Y. Tai and G. Lubineau, “Smart Threads: Double-Twisted Conductive Smart Threads Comprising a Homogeneously and a Gradient-Coated Thread for Multidimensional Flexible Pressure-Sensing Devices (Adv,” Funct. Mater. 23/2016). Advanced Functional Materials, vol. 26, no. 23, pp. 4037-4037, 2016, doi: 10.1002/adfm.201670142.