Image-Based Respiration Estimation With Motion-Vector Axis Extraction
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Solution Overview
Problem
Conventional non-contact respiration measurement technologies struggle with accuracy when body motions not caused by respiration occur, particularly in dynamic environments like vehicle rides.
Innovation Solution
A respiration information estimation device that sets a specific region and calculates a respiration reference axis using motion vectors from captured images, projecting motion vectors onto this axis to extract accurate respiration signals, and applies bandpass filtering to estimate respiration information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-contact respiration measurement is performed using captured images, then the burden on the object person is reduced, but measurement precision deteriorates when body motion not caused by respiration occurs
Solution Approach 1:
The patent segments the motion analysis by identifying a specific region (chest or abdomen) and calculating motion vectors only for that region, rather than analyzing the entire body. This segmentation allows the system to focus on respiration-related motion while excluding unrelated body movements, thereby maintaining measurement precision without contact burden
Solution Approach 2:
The patent extracts the respiration signal by taking out the motion component in the respiration direction from the total body motion. By calculating motion vectors and projecting them onto the respiration direction axis, the system separates respiration-related motion from other body movements, preserving accuracy in non-contact measurement
2Productivity
If conventional respiration measurement methods are used, then measurement can be performed, but reliability decreases when body motion not caused by respiration occurs during measurement
Solution Approach 1:
The patent implements a dynamic approach by continuously calculating motion vectors from captured images and adaptively determining the respiration direction axis based on the specific region's motion characteristics. This dynamic calculation method allows the system to maintain reliability even when body motion patterns change during measurement, such as when the object person moves or when external vibrations occur
Solution Approach 2:
The patent uses feedback by calculating motion vectors from captured images, projecting them onto the respiration direction axis, and using the resulting respiration signal to continuously refine the measurement. This feedback mechanism allows the system to distinguish between respiration-related motion and other body movements, maintaining measurement reliability in dynamic conditions
Data Source
AI summary
A respiration information estimation device includes a specific region setting unit that sets a specific region and a motion vector calculation point as a point as a reference of a motion vector based on an image including an upper body of an object person, a motion vector calculation unit that calculates the motion vector from a movement amount of the motion vector calculation point in each of the images captured consecutively, a respiration reference axis calculation unit that calculates a respiration reference axis from a respiration central point and the motion vector calculation point, a respiration signal calculation unit that calculates a respiration signal from a component of the motion vector in a direction of the respiration reference axis, and a respiration information calculation unit that calculates a respiration information estimation result, as a result of estimating a body motion caused by the respiration, from the respiration signal.