Intelligent control method and system of eye massager

By acquiring orbital point cloud data to reconstruct the orbital surface features, simulating the contact angle and force area of ​​the touch points, and combining finite element analysis and physiological data monitoring, the problem of existing eye massagers being unable to achieve personalized and precise pressure control has been solved, thus improving massage comfort and adaptability.

CN122290867APending Publication Date: 2026-06-26SHENZHEN PRUITUO TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN PRUITUO TECH CO LTD
Filing Date
2026-02-04
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing eye massagers cannot achieve personalized and precise pressure control, and cannot meet users' high-quality demands for massage comfort and adaptability, especially in terms of differences in orbital bone structure and soft tissue thickness, physiological changes, and the non-uniform characteristics of the orbital surface.

Method used

By acquiring point cloud data of the user's eye socket area, performing noise reduction and smoothing processing, the surface features of the eye socket are reconstructed, simulating the contact angle and force area of ​​massage touch points, and calculating the simulated pressure value by combining finite element analysis. The pressure value is dynamically adjusted by monitoring the physiological data around the eyes in real time, generating a personalized pressure control scheme.

Benefits of technology

It achieves a high-precision fit between the massage touch points and the eye socket, accurately captures the comfortable pressure range of key areas such as the corners of the eyes, provides real-time adaptive massage basis, and improves massage comfort and adaptability.

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Abstract

This invention relates to the field of data acquisition and control system technology, and discloses an intelligent control method and system for an eye massager. The method includes: acquiring point cloud data of the user's orbital region, denoising and smoothing the data, reconstructing it using a Poisson surface, and extracting statistical features of bone contour and soft tissue thickness to obtain orbital surface features; simulating the contact angle and force-bearing area of ​​massage points, calculating simulated pressure values ​​through finite element analysis, constructing a multi-channel pressure feature vector after optimization, inputting it into a pre-trained model to output a comfort score; if the score is insufficient, iteratively updating the force transmission coefficient matrix to obtain a personalized pressure control scheme; real-time monitoring of periorbital temperature and blood flow data, mapping it to a physiological stress index to dynamically adjust the pressure and generate an optimized scheme; and generating a control command sequence to drive the massager actuator. This method can achieve personalized and precise pressure control, improving massage comfort and adaptability.
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