Method and system for eye use, sitting posture monitoring and adjustment based on multi-sensor fusion

Through multi-sensor fusion technology, smart glasses devices collect and analyze eye use and posture data, identify bad behaviors and issue warnings, solving the problem of insufficient monitoring by a single sensor and achieving efficient eye use and posture health management.

CN121059111BActive Publication Date: 2026-02-13HUNAN SHUANGQI SHIJIA MEDICAL TECH CO LTD
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Patent Information

Application Number
CN202511607592.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-05
Publication Date
2026-02-13
Estimated Expiration
2045-11-05

AI Technical Summary

Technical Problem

In existing technologies, a single sensor is insufficient to fully capture complex eye use and posture behaviors, and multi-sensor systems lag in data fusion and real-time response, making it impossible to effectively identify persistent bad habits and lacking long-term health management capabilities.

Method used

By employing a multi-sensor fusion approach, data on eye distance, head posture, and sitting posture are collected through smart glasses devices. Feature extraction and time-series analysis are performed to identify nodes of poor eye use. Based on abnormal node groups, warnings and adjustments are made, including lens fogging and sitting posture reminders.

Benefits of technology

It enables multi-dimensional monitoring of eye use and posture, reduces misjudgments, improves real-time performance and user experience, and ensures rapid and consistent early warning response and health intervention.

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Abstract

The application discloses a method and system for eye use, sitting posture monitoring and adjustment based on multi-sensor fusion, relates to the technical field of eye use health management, and comprises the following steps: wearing smart glasses equipment for a measured person, collecting real-time eye use data of the measured person, including eye use distance data, head posture data and sitting posture data, performing feature extraction on the real-time eye use data, obtaining a distance sequence, a posture angle set and a sitting posture set, performing time sequence evolution analysis on the distance sequence, the posture angle set and the sitting posture set, obtaining a plurality of bad eye use nodes, grouping the nodes based on bad types to obtain different types of abnormal node groups, performing early warning based on the abnormal node groups, performing lens fogging on the smart glasses equipment according to a warning result, and adjusting the sitting posture of the measured person, recording operation contents performed according to the warning result to a device terminal, and pushing the operation contents to a mobile device of the measured person, so that timely supervision and correction of eye use behavior and sitting posture are realized.
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