Artificial Finger Touch Gesture Simulator for Automated Testing
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Solution Overview
Problem
Manual testing of touch-sensitive electronic products is inefficient due to instability and inconsistency in applying force and trajectory, leading to complex testing fixtures and low efficiency.
Innovation Solution
A user gesture behavior simulation system comprising a touch gesture recording and editing device and a simulation device with artificial fingers that record and replicate user touch gestures, allowing for automatic testing of touch-sensitive products by simulating various touch gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual testing is used to test touch-sensitive electronic products, then flexibility in testing different gestures is maintained, but testing efficiency is low and consistency of applied force and trajectory cannot be achieved
Solution Approach 1:
The system creates a digital copy of user touch gestures by recording the trajectory, pressure, and timing information from actual user interactions. This recorded gesture data is then replayed through artificial fingers during automated testing, ensuring consistent reproduction of gesture patterns while eliminating manual variability. The copying principle transforms subjective manual operations into objective, repeatable digital instructions.
Solution Approach 2:
The patent replaces the mechanical manual operation system with an automated mechanical system consisting of robotic arms, artificial fingers, and precision motion control. This substitution eliminates human variability in applying force and maintaining trajectory, while the system records and reproduces genuine user gesture characteristics through computational control rather than human physical action.
2Productivity
If automated testing equipment is introduced to improve testing efficiency, then productivity increases, but device complexity increases
Solution Approach 1:
The testing system is designed with multi-functional capabilities that reduce overall complexity. The same artificial fingers and motion control system can test multiple gesture types (swipes, taps, pinches, rotations) on various touch-sensitive surfaces. The gesture recording and replay mechanism serves multiple purposes: capturing user behavior patterns, generating test sequences, and validating touch controller responses across different gesture scenarios.
Solution Approach 2:
The system introduces software intermediaries that bridge the complex hardware components and the testing objectives. The gesture recording software captures touch events and converts them into standardized trajectory data, while the control software interprets this data and coordinates the artificial fingers' movements. This software layer abstracts the complexity, making the system easier to operate and maintain despite the sophisticated hardware involved.
3Ease of manufacture
If manual testing processes are used, then equipment cost is reduced, but testing stability and consistency deteriorate
Solution Approach 1:
The system maintains cost-effectiveness by focusing automation on the critical parameters that affect testing reliability: trajectory coordinates, pressure force, contact duration, and gesture sequence. By precisely controlling these key parameters through the artificial fingers and force sensors, the system achieves stable and consistent results without requiring complete automation of all testing aspects, thus balancing cost and reliability.
Data Source
AI summary
A user gesture behavior simulation system includes a touch gesture recording and editing device and a touch gesture simulation device. When at least one touch gesture is implemented on a record touch object with at least one finger of a user, the at least one touch gesture is recorded by the touch gesture recording and editing device, and at least one touch gesture operating trajectory is correspondingly generated by the touch gesture recording and editing device. The touch gesture simulation device includes at least one artificial finger. The at least one artificial finger is driven and moved to an under-test touch object by the touch gesture simulation device. The at least one touch gesture is simulated by the touch gesture simulation device according to the at least one touch gesture operating trajectory.