Innovation Series: Advanced Science (ISSN 2938-9933, CNKI Indexed)

Volume 3 · Issue 5 (2026)
151
views
DOI number:
10.66521/2938-9933-2026051801

Research on the Application of Intelligent Information Processing in the Field of Sports Shoes

 

Wuyan Wei, Qiang Li, Xiwang Tu, Jingqian Tian, Lina Xi, Wei Lu*

School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China

Corresponding Author: Wei Lu (lujunqi2001@163.com)

 

Abstract: With the rapid advancement of modern science and technology, intelligent technology has developed rapidly and become a prevailing trend penetrating various industries. The traditional sports footwear industry is also undergoing innovative transformation by introducing advanced intelligent control systems. These smart systems are designed to realize core functions such as high-precision positioning, real-time fall detection, stable wireless signal transmission and intelligent data analysis feedback. With the joint cooperation of cloud service systems, mobile terminal equipment and built-in high-sensitivity sensors, the whole system can complete efficient information collection, transmission and data processing. This technological integration not only optimizes the overall performance of sports shoes, but also effectively guarantees users’ exercise safety. Meanwhile, it can record movement data in real time, providing scientific and personalized reference for people’s daily fitness training and daily health management.

 

Keywords: Sports Shoes; Intelligent Information Processing; Elderly Fall Detection; Sports Feedback

 

References

[1]
Wu Haizhu: EVA sole with excellent cushioning performance. Zhejiang Province, Wenzhou Zhongqi Technology Co., Ltd., 2022-01-27.
[2]
Xu Dan, Zang Lihua, Cheng Cheng, et al. Export of Tropical Fire Sports Equipment for Autumn Running. China National Gate Times, 2025-10-15(003).
[3]
Zeng Qingyi. When Outdoor Becomes the Trend: The Sports Footwear and Apparel Industry "Climbs Up". Shanghai Securities News, 2025-08-22(008).
[4]
Zhang Guoyong. Research on Intelligent Information Processing Technology Based on Deep Learning. Industrial Control Computer, 2026,39(01):91-92.
[5]
Li Gen. Development of intelligent shoes for the elderly based on multi-sensor data fusion. Hebei University of Technology, 2021.
[6]
He Yingxian, Lin Tong, Jiang Chenguang. Clinical Application of Gait Analysis Method in Flat Foot Orthosis. World Latest Medical Information Abstracts, 2017,17(34):103-105.
[7]
Wang Yongqin, Yao Jie. Research Progress on Fall Alertness in the Elderly. Occupational and Health, 1-5 [2025-10-19]
[8]
Li Ruining, Xu Chuangye, Zhang Qinglai. Research Progress on Fall Risk Prediction for the Elderly Based on Wearable Sensors. Sensors and Microsystems, 2025,44(10):7-11+21.
[9]
Ou Jianlin, Yan Yifeng, Chen Fangting, et al. Fall risk assessment and system design based on intelligent rehabilitation shoes. Guangdong Medical Journal, 2025,46(03):350-356.
[10]
Liu Xueqin, Liu Ning, Su Zhong, et al. Research on an Intelligent Gait Recognition Method Based on Plantar Pressure Perception. Journal of System Simulation, 2021,33(11):2572–2578.
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