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What are the key features of a gym system management with analytics and prediction? 


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A gym management system with analytics and prediction has several key features. Firstly, it utilizes deep learning and Internet of Things (IoT) technologies to detect and analyze people's health indicators, allowing for a comprehensive assessment of their fitness and health status . Secondly, it recommends exercise courses based on personal information inputted by the user, providing a more systematic and targeted approach to exercise . Thirdly, it uses a cloud service management system and intelligent terminals to accurately determine the correlation between motion data and gymnasium users, improving facility utilization and reducing workload . Fourthly, it allows for the purchase and management of usage rights through a mobile device, providing a customized exercise course for members . Lastly, it includes an information management system, real-time message service system, and fitness equipment to provide professional fitness courses, supervise fitness processes, and generate fitness reports for users .

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Papers (5)Insight
Patent
06 Mar 2018
2 Citations
The provided paper does not mention anything about analytics and prediction in the gymnasium management system.
The provided paper does not mention anything about analytics and prediction in the gym system management.
Patent
Chen Chiyuan, Huang Erhui 
07 Jul 2017
4 Citations
The provided paper does not mention the key features of a gym system management with analytics and prediction.
The provided paper does not mention a gym system management with analytics and prediction.
The provided paper does not mention analytics and prediction as key features of the gymnasium management system.

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