Capacitive Touch Hand Holding State Detection
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Solution Overview
Problem
Users face difficulties in conveniently and accurately interacting with large-screen smart terminals using a single hand, as the capacitive touch technology struggles to detect hand holding states effectively, leading to challenges in accessing virtual keys.
Innovation Solution
A hand holding state detection method that acquires feature data from a capacitor array network, compares it with reference data to determine a feature region, and adjusts the man-machine interaction interface accordingly, allowing users to easily interact with virtual keys.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the screen size of the smart terminal is increased, then the display area is improved, but the ease of operation deteriorates because it becomes difficult for the user to conveniently or accurately touch virtual keys with a single hand
Solution Approach 1:
The patent implements dynamic adjustment of the virtual keyboard interface based on detected hand holding states. The system transitions between different interface modes (single-hand mode, two-hand mode, landscape mode) according to real-time capacitance sensor data, making the interface adaptable to the user's actual operating conditions rather than static
Solution Approach 2:
The system automatically detects the user's hand holding state through capacitance sensors and self-adjusts the virtual keyboard interface configuration without requiring manual user input. The interface autonomously switches between different layouts and positions based on the detected holding pattern, enabling the system to serve itself in optimizing the user experience
2Ease of operation
If traditional capacitive touch technology is used, then the touch operation function is achieved, but the ability to detect hand holding state deteriorates, leading to inability to adjust the interface accordingly
Solution Approach 1:
The patent divides the touch detection function into two independent parts: traditional touch position detection and hand holding state detection. By segmenting the capacitance data analysis, the system can separately process touch coordinates and hand posture information, improving the precision of hand holding state measurement without affecting touch operation functionality
Solution Approach 2:
The patent introduces capacitance sensors as an intermediary component between the user's hand and the system's interface adjustment mechanism. These sensors detect subtle capacitance variations caused by different holding patterns and transmit this information to the processor, which then adjusts the interface accordingly, bridging the gap between passive touch detection and active interface adaptation
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 detection of hand holding states, allowing users to conveniently interact with virtual keys on large-screen devices by adjusting the interface based on the determined hand holding state, improving user experience and interaction accuracy.
Implementation Method 1
When a user touches the CTP, due to the electric field of the human body, a finger of the user forms a coupling capacitor with a working surface, and a series of touch operation functions are implemented by detecting the capacitance value of the coupling capacitor
Implementation Method 2
When a user touches the CTP, due to the electric field of the human body, a finger of the user forms a coupling capacitor with a working surface
Implementation Method 3
When the finger touches the electrodes, capacitance variations at the touch position may be detected by scanning the X and Y axes, such that the touch position of the finger is calculated
Data Source
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AI summary
Embodiments of the present invention provide a hand holding state detection method, a capacitive touch apparatus and an electronic device. The method includes: acquiring feature data output by each coupling capacitor in a capacitor array network when the coupling capacitor receives a touch, and reference feature data corresponding to each coupling capacitor; and determining a feature region formed by the touch on the capacitor array according to the feature data output by each coupling capacitor and the corresponding reference feature data, to determine a hand holding state according to the feature region. In this way, a man-machine interaction interface may be adjusted according to the hand holding state, such that a user may conveniently or accurately touch all the virtual keys in the man-machine interaction interface.