Design of an information system for the integration of outdoor sports and intelligent devices in northern Guangxi

The development of rural outdoor sports in northern Guangxi is facing problems such as information asymmetry, insufficient service level and security risks. At the same time, sports social networking has gradually become the focus of users. This research designs an information system integrating intelligent devices, and uses B/S architecture to build a functional system including information query, online booking, social sharing and security management. The system innovatively introduces LSTM model to process the user's motion time series data, and realizes personalized recommendation and health risk prediction by fusing multi-dimensional information such as heart rate and environment through multimodal algorithm. Experiments show that the recommendation accuracy of the model is 68.9%, and the F1 score of health warning is 0.79, which is significantly improved compared with the traditional method. The system test verifies the stability and security of each functional module. Its integrated design of intelligent wearable devices and social interaction provides information solutions for rural outdoor sports, and effectively improves the user experience and security capabilities.

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Publication Details

Published
2025-07-21
DOI
https://doi.org/10.1117/12.3073526
Primary Topic
Environmental Engineering and Cultural Studies
Type
article
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article

Design of an information system for the integration of outdoor sports and intelligent devices in northern Guangxi

Dingguo Wang
Environmental Engineering and Cultural Studies
article

Design of an information system for the integration of outdoor sports and intelligent devices in northern Guangxi

Dingguo Wang
article en

Abstract

The development of rural outdoor sports in northern Guangxi is facing problems such as information asymmetry, insufficient service level and security risks. At the same time, sports social networking has gradually become the focus of users. This research designs an information system integrating intelligent devices, and uses B/S architecture to build a functional system including information query, online booking, social sharing and security management. The system innovatively introduces LSTM model to process the user's motion time series data, and realizes personalized recommendation and health risk prediction by fusing multi-dimensional information such as heart rate and environment through multimodal algorithm. Experiments show that the recommendation accuracy of the model is 68.9%, and the F1 score of health warning is 0.79, which is significantly improved compared with the traditional method. The system test verifies the stability and security of each functional module. Its integrated design of intelligent wearable devices and social interaction provides information solutions for rural outdoor sports, and effectively improves the user experience and security capabilities.

China Tourism Academy (CN), Guilin Tourism University
Openalex Percentile: Top 74%
Environmental Engineering and Cultural Studies
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