Indoor middle and long distance camera heart rate detection method and system capable of resisting environmental interference

By constructing a distance-focal length correspondence table and using multi-view fusion technology, the problems of weak signal, high noise, and poor stability in heart rate measurement at medium and long distances were solved, enabling low-power, low-latency heart rate detection in indoor environments and improving signal stability and robustness.

CN122074935APending Publication Date: 2026-05-26XIDIAN UNIV
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Patent Information

Application Number
CN202610119949.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-28
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies cannot reliably perform non-contact heart rate measurement at medium to long distances, especially in indoor environments where they suffer from weak signals, high noise, poor stability, and poor real-time performance. Furthermore, in high magnetic environments, contact devices or close-range non-contact measurement methods cannot be used.

Method used

By constructing a preset correspondence table between distance and available focal length, combining face detection and ROI localization, rigid and non-rigid noise are filtered out, Kalman filtering is used for posture correction, and through multi-threaded real-time scheduling and quality closed-loop linkage, adaptive adjustment of camera focal length and multi-view fusion are achieved, thereby improving signal stability and robustness.

Benefits of technology

Stable measurement of heart rate signals was achieved at medium to long distances of 2 meters and above, improving the strength and measurement range of the analytical signal, reducing noise interference, and ensuring low power consumption and long-term stable operation of the system.

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Abstract

The invention discloses an anti-environmental interference indoor middle and long distance camera heart rate detection method and system. The upper computer obtains one path of video stream data collected by each camera so as to determine a current video frame sequence of the optimal view angle; performing face detection, tracking and ROI positioning on the video frame sequence to obtain a face ROI region of each video frame; performing rigid motion noise filtering processing on the video frame sequence to obtain an aligned frame sequence and a reference frame sequence; determining a human face ROI region of each alignment frame according to the human face ROI region of the reference frame; determining an ROI signal based on the face ROI region of the alignment frame, and performing non-rigid noise filtering on the ROI signal to obtain a pulse wave signal; and determining a heart rate value corresponding to the current sliding window based on the pulse wave signal, and determining a corresponding quality score so as to perform adaptive adjustment of the focal length of the camera in combination with a preset corresponding relationship between the distance and the available focal length. The method is high in robustness, accuracy and stability.
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