Contactless Physiological Detection Noise Elimination
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Solution Overview
Problem
Contactless detection methods for physiological and physical activities are prone to noise interference from external sources and human movement, leading to inaccurate measurements, especially during strenuous exercise, and are not effectively applied to measure physical activity information without the need for wearable sensors.
Innovation Solution
A contactless detection method using an image sensor to capture human body images, process feature points, and input displacement and physiological signals into adaptive filters to eliminate noise, allowing for the calculation of physiological information like heart rhythm and physical activity metrics such as step count and jogging speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If contactless detection method is used to monitor physiological information, then user comfort is improved and wearable devices are eliminated, but measurement accuracy deteriorates due to noise from external environmental sources and human movement
Solution Approach 1:
The patent segments the physiological signal processing into multiple independent components: raw signal acquisition, noise identification, noise elimination, and clean signal generation. By dividing the complex noisy signal into separable components (physiological signal + noise), the system can selectively remove noise while preserving the underlying physiological information, thereby maintaining measurement accuracy without requiring wearable contact
Solution Approach 2:
The patent introduces an intermediary noise elimination unit that acts as a mediator between the noisy raw signal and the final physiological measurement. This unit processes the contaminated signal through algorithmic noise removal, producing a cleaned signal that accurately represents physiological states without direct contact, thus resolving the contradiction between contactless operation and measurement precision
2Ease of operation
If contactless detection is applied during strenuous exercise, then ease of use is improved, but signal quality deteriorates due to increased motion noise and body movements
Solution Approach 1:
The patent employs dynamic noise elimination algorithms that adapt to changing exercise intensities and movement patterns. The system continuously adjusts its noise removal parameters based on the current physiological state and motion characteristics, allowing it to maintain reliable signal quality throughout varying exercise conditions from rest to strenuous activity without requiring the user to change their natural movement patterns
Solution Approach 2:
The patent changes processing parameters dynamically based on exercise intensity and signal characteristics. By adjusting filtering thresholds, noise elimination strength, and signal processing parameters in real-time, the system maintains optimal signal quality across different exercise intensities, enabling reliable contactless monitoring during strenuous activity while preserving ease of use
3Measurement precision
If adaptive noise elimination processing is added to contactless detection, then measurement accuracy is improved, but system complexity increases
Solution Approach 1:
The patent replaces complex hardware-based noise cancellation systems with software-based adaptive filtering algorithms. Instead of using additional sensors, physical barriers, or complex electronic shielding, the system uses computational methods to identify and eliminate noise from the existing signal, achieving high measurement accuracy while keeping the device structure relatively simple and avoiding additional hardware 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
This method enables accurate monitoring of physiological and physical activity information without wearables, effectively reducing motion noise and enhancing the accuracy of heart rhythm measurements during movement, thus expanding the application of contactless detection in exercise settings.
Implementation Method 1
an image sensor is provided for capturing an image of a human body portion to generate a primitive image such as a face image
Implementation Method 2
inputting the displacement signal and the pending physiological signal into an adaptive filter such as a single stage adaptive filter or a cascade adaptive filter to eliminate the noise in the pending physiological signal
Data Source
AI summary
A contactless detection method with noise elimination is applied to measuring the information of physiological and physical activities. It includes following steps: sensing a human body to generate an image by an image sensor; capturing a physiological signal from the image; tracing a feature point of the human body in the image to generate a physical activity signal; and calculating information of physical activities covering step count, speed and calories according to the physical activity signal and the physiological signal. In particular, the contactless detection method treats the physiological signal cooperated with the physical activity signal to separate a noise from the physiological signal, so as to generate an ideal physiological signal. Therefore, the physiological information is calculated more accurately according to the ideal physiological signal.