Fall early warning method and system for elderly care

By using personalized baseline modeling and a multi-level early warning mechanism, the problem of elderly people living alone being unable to call for help in time after a fall has been solved. This has enabled high-precision fall warning and emergency response, reduced false alarm and missed alarm rates, adapted to individual differences, and provided a closed-loop protection solution.

CN122416627APending Publication Date: 2026-07-17ZHENGZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHENGZHOU UNIV
Filing Date
2026-05-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Elderly people living alone are unable to call for help in time after falling in their home environment, which increases the risk of physical injury and reduces their sense of security. Existing early warning systems have high false alarm and false alarm rates, cannot adapt to individual differences, and cannot provide timely and effective early warning and rescue.

Method used

A comprehensive approach is adopted, including personalized baseline modeling and system initialization, multi-source synchronous data acquisition and local preprocessing, multi-dimensional fall risk feature extraction and quantification, two-level cascaded fall risk classification and prediction, graded early warning and multi-link linkage intervention, and event review and dynamic iterative optimization of the model, to construct a closed-loop protection system and realize personalized risk early warning and emergency linkage.

Benefits of technology

It enables proactive risk prediction before falls occur, reduces the probability of fall injuries, improves the accuracy and timeliness of early warnings, adapts to the different physical functions and behavioral habits of elderly people, lowers the threshold for use, supports long-term stable use, and builds a multi-link collaborative protection system.

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Abstract

The present application relates to the field of Chinese wisdom pension and old-age care, and discloses a fall early warning method and system for old-age care, which comprises the following modules: an old person individualized baseline modeling and system initialization module, a multi-source synchronous data acquisition and local preprocessing module, a multi-dimensional fall risk feature extraction and quantification module, a two-stage cascaded fall risk grading and pre-judgment module, a graded early warning and multi-linkage joint intervention module, and an event review and model dynamic iteration optimization module; and comprises the following steps: S1, a system initialization and baseline modeling stage; S2, a multi-source data acquisition and preprocessing stage; S3, a multi-dimensional risk feature extraction and quantification stage; S4, a two-stage cascaded risk pre-judgment stage; S5, a graded early warning and joint intervention stage; and S6, an event review and model iteration stage; the present application realizes pre-fall risk pre-judgment and intervention, reserves sufficient risk avoidance time for the old people, and reduces the occurrence probability of fall injuries from the source.
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