Cloud computing-driven old people behavior pattern recognition method and system

Through the cloud-driven behavior pattern recognition method for elderly people, the functional attributes and behavior data analysis of intelligent perception devices are used to evaluate the coordination degree of dynamic behavior and environment, solving the problem of low accuracy of behavior pattern recognition among elderly people, realizing accurate monitoring of the health status of the elderly and early prevention of abnormal behaviors.

CN119939387APending Publication Date: 2025-05-06HARBIN SAISI TECH CO LTD
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Patent Information

Application Number
CN202510022645.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-07
Publication Date
2025-05-06

AI Technical Summary

Technical Problem

Existing methods for behavior pattern recognition in older people rely on single sensor data, lacking in-depth analysis of specific behavior types and environmental contexts, resulting in reduced recognition accuracy.

Method used

Through cloud computing-driven methods, we can obtain the functional attributes of intelligent perception devices, set behavior monitoring indicators, analyze daily behavior data, evaluate the coordinated fit between dynamic behavior and the environment, use preset models to analyze behavior patterns and formulate care strategies.

Benefits of technology

It improves the accuracy of behavior patterns recognition in the elderly, can detect abnormal behaviors in advance, prevent risks such as falls and losses, and improves the accuracy and effectiveness of health monitoring.

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Abstract

The invention relates to the technical field of behavior analysis, and discloses a cloud computing-driven old people behavior pattern recognition method and system, and the method comprises the steps: analyzing a device function attribute corresponding to an intelligent sensing device, and setting a behavior monitoring index corresponding to the intelligent sensing device; determining a behavior feature dimension corresponding to the intelligent sensing device, and calculating an index reliability coefficient corresponding to the behavior monitoring index; collecting index monitoring data, corresponding to the behavior monitoring indexes, of the old people, extracting activity posture images and feedback signal data in the index monitoring data, analyzing dynamic behaviors corresponding to the old people, and calculating behavior stability indexes corresponding to the dynamic behaviors; evaluating the cooperative integrating degree of the dynamic behavior and the daily activity area; and analyzing a behavior mode corresponding to the elderly, formulating a behavior care strategy of the elderly, and executing behavior care processing on the elderly to obtain a care result. The invention mainly aims to solve the problem that the accuracy of behavior pattern recognition of old people is reduced.
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Citation Information

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