Camera Module Control via Physiological Signal Detection
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Solution Overview
Problem
Conventional camera module control methods in electronic devices require manual button manipulation or virtual button interaction, which can affect image quality and are not intuitive for user input.
Innovation Solution
A method using physiological signals, such as heart rate or finger contact, to control the camera module without manual button manipulation, allowing for image acquisition based on detected physiological inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual button manipulation is used to control camera module, then device operation is simple and reliable, but image quality deteriorates due to user movement and interaction interference
Solution Approach 1:
The patent replaces manual mechanical button pressing with physiological signal detection. The biometric sensor detects physiological signals (such as heartbeat, muscle movement, or other bodily functions) to automatically trigger camera operations, substituting the mechanical interaction system with a physiological detection system. This eliminates user movement interference during image capture while maintaining intuitive control through natural bodily functions.
2Reliability
If virtual button interaction is used to control camera module, then device integration is improved, but image quality deteriorates due to touch screen manipulation interference
Solution Approach 1:
The patent replaces virtual button interaction on the touch screen with physiological signal detection. Instead of requiring users to touch or swipe the screen to capture images, the system detects physiological signals automatically and triggers camera operations. This eliminates the interference caused by touch screen manipulation while maintaining seamless device integration through the biometric sensor system.
3Reliability
If physiological signal detection is used to control camera module, then image quality improves by eliminating manual manipulation interference, but device complexity increases due to biometric sensor integration
Solution Approach 1:
The patent applies multi-functionality by integrating the biometric sensor to serve multiple purposes: it detects physiological signals for camera control triggering, provides user authentication, and enables various other device functions. This approach justifies the added complexity by making the sensor a central component that performs multiple critical functions, thereby improving overall system efficiency and user experience.
4Ease of operation
If physiological signals are used for automatic camera control, then user interaction intuitiveness improves, but detection complexity increases due to physiological signal processing
Solution Approach 1:
The patent applies self-service by utilizing the user's own physiological signals (such as heartbeat or muscle movements) as the control input mechanism. The user's body naturally provides the detection target, eliminating the need for external controllers or complex interaction interfaces. The system processes these self-generated signals to automatically trigger camera operations, making the interaction highly intuitive while managing detection complexity through focused physiological parameter monitoring.
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 intuitive and high-quality image capture by eliminating the need for manual button pressing, improving user interaction and image quality by using biometric sensors to detect physiological signals for camera control.
Implementation Method 1
From US 2008/253695 A1, an image storage processing apparatus is known, which may take into account a user's emotions, or which may detect a number of successive blinks as intentional user input to acquire an image. 'Wearable Photoplethysmographic Sensors - Past and Present' by Toshiyo Tamura et al., published on pages 282-302 of ELECTRONICS vol. 3, no. 2, on April 23, 2014, offers further potentially relevant background information.
Data Source
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AI summary
A control method of an electronic device is disclosed. The method includes receiving an input signal including a physiological signal of a subject to be examined through a sensor module of the electronic device, detecting an input operation based on at least the input signal, and acquiring an image through a camera module according to the input operation.