Vital Sign Correlation for User Discrimination
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Solution Overview
Problem
In multi-user gaming environments, accurately distinguishing individuals from captured images is challenging, especially when body parts like hands intersect, making it difficult to associate them with the correct user.
Innovation Solution
An individual discrimination device and method that utilize a vital sign signal detector to capture cyclic variations in body regions and a correlation calculator to determine if imaged regions belong to the same user based on signal sequence correlations, allowing accurate identification even when body parts are imaged by different cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual discrimination is carried out by recognizing face or hand regions from the image, then individual identification can be performed, but it becomes difficult to associate body parts with the correct user when hands or other body regions intersect in the captured image
Solution Approach 1:
The patent introduces vital sign signals (intermediary physical quantity) as a mediator to bridge the gap between ambiguous visual body part recognition and accurate user identification. By detecting pulse waves from multiple body regions and comparing these physiological signals, the system can determine which user each body part belongs to, even when visual association is unclear due to overlapping hands or body parts in the captured image.
2Loss of information
If multiple cameras are used to capture different body regions, then more comprehensive user identification can be achieved, but it becomes more difficult to determine which body regions belong to the same user when hands intersect
Solution Approach 1:
Vital sign signals serve as an intermediary that connects multiple camera views and body regions to their corresponding users. By detecting and comparing pulse wave characteristics from different body regions captured by multiple cameras, the system can reliably associate each body part with its owner user, preventing information loss and resolving the difficulty of determining user-body part correspondence in multi-camera setups with intersecting limbs.
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 accurate individual discrimination in captured images, effectively associating body regions like hands and faces with the correct user, enhancing user identification and game interaction analysis.
Implementation Method 1
a camera 10 to photograph a partial or whole region of a body of a user... a vital sign signal detector 40 that detects a signal sequence of a vital sign that cyclically varies from a plurality of imaged regions of the body of the user by using captured images
Data Source
Figure 1
Figure 2
Figure 3A~3B
AI summary
A frame storage 30 stores an image obtained by imaging a region of at least part of the body of a user. A vital sign signal detector 40 detects a signal sequence of a vital sign that cyclically varies from plural imaged regions of the body of the user by using captured images of a predetermined number of frames stored in the frame storage 30. A correlation calculator 50 obtains the correlation between the signal sequences of the vital sign detected from the respective imaged regions of the body. An identity determining section 60 determines whether or not the respective imaged regions of the body belong to the same user based on the correlation between the signal sequences of the vital sign detected from the respective imaged regions of the body.