Touch Input Filtering for Low-Load Knuckle Recognition
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Solution Overview
Problem
Current methods for invoking knuckle recognition algorithms in electronic devices result in excessive system load and false recognition due to frequent invocation during non-knuckle operations, degrading user experience.
Innovation Solution
A touch operation processing method that determines the number of touch points and capacitance data to generate an identifier, deciding whether to invoke the knuckle recognition algorithm, thereby filtering non-knuckle operations and reducing unnecessary algorithm invocations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the knuckle recognition algorithm is invoked for each screen touch operation, then the user can use the knuckle function at any time, but the system basic load increases severely and false recognition risk increases
Solution Approach 1:
The patent applies preliminary action by pre-judging touch operations based on touch point number and capacitance data before invoking the knuckle recognition algorithm. The system determines in advance whether a touch operation meets the criteria for knuckle function (single touch point, specific capacitance range), and only invokes the recognition algorithm when criteria are met, thereby reducing unnecessary invocations and system load while maintaining function availability.
2Reliability
If the knuckle recognition algorithm is invoked for each screen touch operation, then knuckle operations can be recognized, but false recognition of non-knuckle operations increases
Solution Approach 1:
The patent introduces an intermediary filtering mechanism that uses touch point number and capacitance data as intermediate criteria to pre-screen touch operations before they reach the knuckle recognition algorithm. This intermediary layer (the filtering mechanism) distinguishes between genuine knuckle operations and non-knuckle operations, allowing only qualified operations to proceed to recognition processing, thereby reducing false recognition while maintaining reliable knuckle operation detection.
3Ease of operation
If the knuckle recognition algorithm is invoked frequently, then user needs are met, but processing time and system resources are wasted
Solution Approach 1:
The patent applies parameter changes by using touch point number and capacitance data as filtering parameters to determine whether to invoke the knuckle recognition algorithm. Instead of invoking the algorithm for every touch operation, the system changes the parameter of algorithm invocation based on whether the touch operation meets predefined criteria (single touch point, capacitance within range), thereby reducing processing time and resource waste while still fulfilling user needs when knuckle operations are intended.
Data Source
AI summary
This disclosure provides a touch operation processing method, a device, and a storage medium. In this method, when a touch operation is received, it is determined, by determining a number of touch points, in other words, based on a touch area, whether to filter the touch operation. When it is determined that the touch operation is a non-knuckle operation that needs to be filtered, an electronic device is set to not invoke a knuckle recognition algorithm. This can avoid invoking the knuckle recognition algorithm for each touch operation, thereby reducing occupation of system resources, and reducing system load.