Image-Based Heart Rate Detection Using Independent Component Analysis
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Solution Overview
Problem
Current image-based heart rate detection technologies face challenges in accurately monitoring infants and young children due to their unpredictable movements and behaviors, requiring high sensitivity and resolution, which increases equipment costs and is prone to false alarms from non-human objects with similar skin colors, and struggles with disconnected skin color regions.
Innovation Solution
An image-based method and apparatus using independent component analysis (ICA) on color images to define target areas, perform frequency domain transforms, and compute signal energy to filter and confirm real human signals, reducing false alarms and improving relevance analysis among skin color regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image-based detection technology is used to monitor infants, then non-contact monitoring is achieved, but the technology requires high sensitivity and resolution which increases equipment costs
Solution Approach 1:
The patent transforms the detection approach by changing the parameter being measured from requiring high spatial resolution (face features) to measuring temporal color variations. By using RGB color space analysis and independent component analysis on color channels, the system detects heartbeat-induced color changes without needing high-resolution spatial details, thereby reducing equipment cost while maintaining detection accuracy
Solution Approach 2:
The patent replaces the mechanical/optical requirement for high-resolution cameras with a computational approach using independent component analysis and frequency domain transforms. This substitution of physical resolution requirements with signal processing methods allows standard cameras to achieve accurate heartbeat detection without high-cost specialized equipment
2Adaptability or versatility
If skin color detection technology is used, then detection can be performed on moving targets, but the error rate is high and false alarms occur from non-human objects with similar skin colors
Solution Approach 1:
The patent segments the skin color detection into multiple independent color channels (R, G, B) and applies independent component analysis to separate the heartbeat signal from other variations. This segmentation allows the system to distinguish human skin color patterns from non-human objects by analyzing the temporal correlations across channels, thereby reducing false alarms while maintaining detection flexibility
Solution Approach 2:
The patent implements a verification mechanism using independent component analysis that provides feedback on the detected signal's validity. By analyzing whether the detected color variations conform to expected heartbeat patterns through mathematical transformation, the system can confirm or reject detections, significantly reducing false alarms from non-human objects
3Measurement precision
If face recognition technology is used, then accurate target identification is achieved, but the monitored objects must maintain certain posture or stability which is difficult for infants
Solution Approach 1:
The patent transitions from static face recognition to dynamic color variation analysis. Instead of requiring the infant to maintain a fixed facial posture, the system detects heartbeat-induced color changes that occur dynamically regardless of the infant's movement or orientation. This dynamic approach allows accurate monitoring while the infant moves freely, greatly improving ease of operation
4Productivity
If disconnected skin color regions are treated as different targets, then each region can be analyzed independently, but the relevance between regions and the monitored target cannot be determined
Solution Approach 1:
The patent merges the analysis of disconnected skin color regions by applying independent component analysis across all detected regions simultaneously. This mathematical approach combines the color channel data from all regions to identify common heartbeat patterns, thereby determining relevance among regions and their connection to the monitored target while maintaining efficient parallel processing
Data Source
AI summary
An apparatus and method based on image for detecting heart rate activity is provided. The method includes: obtaining a plurality of color images; based on a complexion target condition, defining a target region; performing color composition analysis on the target region to obtain red channel signal, green channel signal and blue channel signal, respectively; performing independent component analysis on separate red, green and blue channel signals to obtain separate first independent component signal, second independent component signal and third independent component signal; performing frequency domain transform, signal energy computation and signal optimization processes on separate first, second and third independent component signals to obtain a filter signal, comparing filter signal based on a pre-set condition to determine if target region belonging to a human, and performing a physiological information analysis.