Infrared Pulse Detection via Wavelength Segmentation
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Solution Overview
Problem
Existing pulse detection methods using RGB signals are ineffective in low-light conditions, such as nighttime or dark rooms, due to noise interference and difficulty in identifying skin areas with infrared signals, which penetrate deeper and are more susceptible to noise.
Innovation Solution
A biological-information detection device utilizing three infrared cameras to capture video signals, with a wavelength detecting section that measures variations in infrared light, a face feature amount detecting section to identify skin areas, and a pulse wave detecting section that identifies changes in wavelength fluctuations over time, allowing for non-contact pulse wave detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If infrared light is used for pulse detection, then detection capability in low-light conditions is improved, but noise susceptibility increases
Solution Approach 1:
The patent segments the infrared signal into multiple wavelength bands (first infrared wavelength and second infrared wavelength) and processes each band separately. By dividing the infrared detection into multiple wavelength components, the system can selectively combine signals to enhance pulse detection while suppressing noise in low-light conditions.
Solution Approach 2:
The patent changes the wavelength parameter of infrared light detection by using multiple discrete infrared wavelength bands instead of a single broadband infrared detection. This parameter change allows selective detection of wavelength-specific characteristics of pulse signals while filtering out noise that affects different wavelengths differently.
2Measurement precision
If three infrared cameras are used to capture video signals, then pulse wave detection accuracy in low-light conditions is improved, but device complexity increases
Solution Approach 1:
Each infrared camera in the three-camera system is configured to capture multiple wavelength bands simultaneously, making each camera multi-functional. This allows the system to achieve high measurement precision through multiple wavelength measurements while avoiding the need for nine separate single-wavelength cameras, thus reducing overall device complexity.
Solution Approach 2:
The patent merges the detection functions of multiple wavelength bands into a unified three-camera infrared detection system. By combining the capabilities of three cameras to capture both first and second infrared wavelength bands, the system achieves accurate pulse wave detection without requiring separate dedicated cameras for each wavelength, thereby balancing precision and complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables reliable pulse wave detection during nighttime and in low-light conditions by reducing noise interference and accurately identifying skin areas, facilitating continuous monitoring without contact.
Implementation Method 1
a video input section accepting video signals including three wavelength components in an infrared region included in reflected light from an object
Implementation Method 2
a wavelength detecting section acquiring a wavelength and an intensity of the reflected light from the video signals
Data Source
AI summary
A biological-information detection device includes a video input section accepting video signals including three wavelength components in an infrared region of reflected light from an object, a wavelength detecting section acquiring a wavelength and an intensity of the reflected light from the video signals, a face feature amount detecting section detecting a plurality of feature points of a face based on the video signals, a measurement target area identifying section identifying a measurement target area on a basis of the plurality of feature points of the face detected, a wavelength fluctuation detecting section detecting a difference between a wavelength of reflected light from the measurement target area at a certain point in time and a wavelength of reflected light at a point in time preceding the certain point in time, and a pulse wave detecting section detecting a change in the detected difference according to the point in time.