Non-contact wink and heart rate combined detection system and method based on second-order blindness identification

Abstract

The invention relates to a non-contact wink and heart rate combined detection system and method based on second-order blindness identification. When subjects are at a natural relaxed state, face video data comprising eyes is acquired, after original video data is acquired, a detection face area is selected, the video data is preprocessed, six-channel signals after preprocessing are obtained, and the signals are marked as x=[xR1, xR2, xG1, xG2, xB1, xB2]T; target areas in continuous frames are obtained by use of a Meanshift algorithm, and the six-channel signals are obtained by use of the same method; by taking original signals after the preprocessing as input signals, blind source separation is carried out by use of a second-order blind identification algorithm, source signals after the separation are marked as y=[y1, y2, y3, y4, y5, y6]T; signal identification and screening are performed on the separation signals y obtained in the step S101, and needed wink and BVP signals are selected by use of a kurtosis-based separation component automatic identification method; and a wink frequency and a time length of the obtained wink signals are calculated, power spectrum analysis is performed on the obtained BVP signals, and a heart rate estimation value is obtained. The method has the advantages of high accuracy, high anti-interference capability, high algorithm efficiency and the like.

Description

technical field [0001] The invention relates to the technical field of research and application of human body signs, in particular to a non-contact blinking and heart rate joint detection system and method based on second-order blind identification. Background technique [0002] Blinking and heartbeat are normal physiological phenomena of the human body, both of which are closely related to individual physiological and psychological states. Heart rate is an important indicator of individual physiological activities, while blinking can effectively reflect the individual's psychological and spiritual state. With the continuous development of technology, eye blinking and heart rate detection have already surpassed the basic purpose of monitoring the individual's physical and mental state in the early stage, and have become a research hotspot in the new generation of human body sensing and human-computer interaction technology. Related research and engineering applications have...

AI Technical Summary

Problems solved by technology

However, the existing analysis and processing methods only focus on the detection of BVP-related signals generated by heart beats, and the types of detection objects are relatively single. If the simultaneous detection of eye blinks and heartbeats can be performed under a unified framework, the application range and actual efficiency of the system will be greatly improved.

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