A method for intelligent wearable device-assisted tourism health care based on performance compensation

By constructing a performance impact model and a performance compensation model based on function chain neural network, the problem of inaccurate measurement data of smart wearable devices under the influence of environmental factors is solved, and the accuracy of health risk level assessment and personalization of health care solutions are achieved.

CN119786042APending Publication Date: 2025-04-08GUANGXI LVFA TECH CO LTD
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Patent Information

Application Number
CN202411956680.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-29
Publication Date
2025-04-08

AI Technical Summary

Technical Problem

In actual applications, due to environmental factors, the accuracy of measurement data is easily affected, resulting in inaccurate assessment of health status and inability to obtain targeted health care plans.

Method used

By obtaining the sensitive impact data of each sensor, a performance impact model is constructed, and a performance compensation model is established based on the function chain neural network, which is integrated into the intelligent wearable device system to compensate data in real time.

Benefits of technology

It effectively overcomes the impact of environmental factors on measurement data, improves the measurement accuracy and stability of smart wearable devices, ensures the scientificity and accuracy of health risk level assessment, and generates a personalized health care plan report.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the technical field of wearable device auxiliary monitoring, and discloses a method for intelligent wearable device-assisted tourism health care based on performance compensation, including obtaining sensitive impact data of each sensor in the intelligent wearable device; constructing a performance impact model of the intelligent wearable device according to the sensitive impact data of each sensor; establishing a performance compensation model based on a function chain neural network according to the performance impact model; integrating the performance compensation model into the system of the intelligent wearable device to obtain health detection data of the wearer in real time; inputting the basic information and health detection data of the wearer into a trained health risk level assessment model to obtain a health risk level assessment result; and generating a corresponding health care plan report for the wearer according to the health risk level assessment result. The present invention can overcome the problem of environmental deviation of the measurement data of the intelligent wearable device, avoid inaccurate health status assessment caused by data deviation, and obtain a targeted health care plan.
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