Dynamic Scan Rate Adjustment for Touch Gesture Detection
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Solution Overview
Problem
Mobile devices face challenges in efficiently capturing touch gestures due to high power consumption from frequent sampling and potential false gestures, which can lead to malfunction and user dissatisfaction.
Innovation Solution
Implementing a fingerprint sensor 'long touch' authentication to enable touch gestures and incorporating a gesture timeout to selectively increase scan rate after authentication, reducing power consumption and minimizing false gesture recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the device samples the sensor at a very high rate to capture swipe gestures, then gesture detection accuracy is improved, but power consumption increases
Solution Approach 1:
The patent applies dynamics by making the scan rate adjustable rather than fixed. The system dynamically transitions between a lower default scan rate and a higher gesture-detection scan rate based on whether a touch is detected. This resolves the contradiction by using high sampling rates only when needed for gesture detection, while using lower rates otherwise to conserve power.
Solution Approach 2:
The patent implements periodic action by using two different scan rates at different times. The system periodically checks for touch at a lower rate, and when touch is detected, switches to a higher periodic scan rate for gesture detection. After gesture detection completes or timeout occurs, it returns to the lower periodic scan rate, thus balancing accuracy and power consumption through time-based periodic variation.
2Use of energy by moving object
If the device uses a lower scan rate to save power, then power consumption is reduced, but gesture detection accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts the scan rate based on touch state. When no touch is detected, it operates at a lower scan rate to conserve power. When touch is detected, it dynamically switches to a higher scan rate to ensure accurate gesture detection, thus resolving the contradiction between power saving and detection accuracy.
Solution Approach 2:
The system performs preliminary touch detection at a lower scan rate before committing to high-rate gesture detection. This preliminary action allows the system to identify potential gestures without immediately consuming high power, and only increases scan rate when actually needed, thus balancing power consumption and detection accuracy.
3Reliability
If the device increases scan rate continuously to detect all gestures, then gesture detection capability is improved, but false gesture recognition increases
Solution Approach 1:
The system dynamically adjusts scan rate based on actual touch presence rather than continuously maintaining high scan rate. By switching to high scan rate only when touch is detected and returning to low scan rate otherwise, the system improves gesture detection capability when needed while reducing the conditions that lead to false gesture recognition.
Solution Approach 2:
The system uses feedback from touch detection to control scan rate. When touch is detected, feedback triggers increased scan rate for accurate gesture capture. When no touch is present, feedback returns the system to low scan rate, preventing false gestures from being misinterpreted. This feedback-based control resolves the contradiction between detection capability and false recognition.
4Object-generated harmful factors
If the device uses a gesture timeout mechanism, then false gesture recognition is reduced, but response time for legitimate gestures increases
Solution Approach 1:
The timeout mechanism dynamically controls the duration of high scan rate operation. Once a touch is detected, the system switches to high scan rate and maintains it for a timeout period to complete gesture detection. If no gesture is detected within the timeout, it returns to low scan rate. This dynamic timeout approach reduces false gestures while minimizing time loss for legitimate gestures by using high scan rate only when actually needed.
Data Source
AI summary
Systems and methods for enhanced touch gesture detection and resolution in mobile electronic communications devices entail scanning a touch sensor of the device at a first scan rate, detecting a touch of a finger and determining that the touch has remained present for at least a first threshold period. In response to this determination, the touch sensor is scanned at a second scan rate that is higher than the first scan rate, and it is determined using this second scan rate that a swipe gesture has occurred at the touch sensor within a second threshold period. In response to the swipe gesture, an action is executed at the device.