Safety condition monitoring method and device for old people
Through feature extraction and fusion of facial videos and infrared videos, the accuracy problem of non-contact heart rate measurement methods under external interference is solved, and the accuracy and efficiency of heart rate monitoring are improved, which is suitable for real-time monitoring of the health status of the elderly.
CN120678407APending Publication Date: 2025-09-23广州新华学院
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Patent Information
- Application Number
- CN202510849488.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-24
- Publication Date
- 2025-09-23
AI Technical Summary
Technical Problem
Non-contact heart rate measurement methods are susceptible to external interference. During exercise or when lighting changes significantly, measurements are inaccurate and inefficient, resulting in poor monitoring accuracy.
Method used
By obtaining the target user's facial video and infrared video, RGB features and NIR features are extracted respectively, and feature fusion is performed in the spatiotemporal feature fusion module to utilize multimodal information to improve the accuracy and efficiency of heart rate monitoring.
Benefits of technology
The accuracy and efficiency of non-contact heart rate monitoring are improved, and the user's health status can be monitored and evaluated in real time, which improves the user's comfort and monitoring accuracy.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a safety condition monitoring method and device for old people, and relates to the technical field of heart rate monitoring. Acquiring a face video and an infrared video of a target user to obtain a first final space-time diagram and a second final space-time diagram; respectively inputting the first final space-time diagram and the second final space-time diagram into a space-time feature extraction module for feature extraction to obtain RGB features and NIR features, and fusing the RGB features and the NIR features to obtain fused features; the heart rate of the target user is determined according to the fusion features, and state monitoring is conducted. Acquiring a face and an infrared video of a target user, and extracting spatio-temporal features of the face video according to a preset rule to obtain a first spatio-temporal diagram; the infrared video features are extracted and amplified frame by frame to obtain a second space-time diagram, RGB and NIR features are extracted through a space-time feature extraction module and fused into fused features, non-contact heart rate monitoring is achieved, the accuracy and efficiency of heart rate monitoring are improved, the heart rate is determined according to the fused features, and the health condition of a user is monitored and evaluated in real time.
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