Acoustic Touch Input Location Determination Using Dynamic Signature Selection
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Solution Overview
Problem
Existing touch sensing technologies face challenges in accurately determining the location of user inputs on a surface of electronic devices due to changes in acoustic characteristics caused by other objects contacting the device, which affects the precision of acoustic wave detection.
Innovation Solution
The use of acoustic sensing elements to measure acoustic responses and obtain device acoustic signatures for various support configurations, allowing the control module to determine the location of user inputs by correlating measured acoustic responses with known input locations specific to each support configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If acoustic sensing elements are used to determine touch input location, then touch detection capability is improved, but measurement precision deteriorates when other objects contact the device
Solution Approach 1:
The system dynamically adapts to different support configurations by detecting acoustic characteristics and selecting corresponding calibration data. The acoustic signature database stores multiple calibration sets for different device orientations and contact scenarios, allowing the system to switch between them based on real-time conditions, thereby maintaining measurement precision across varying operational states
Solution Approach 2:
The system changes the parameter set used for measurement based on detected acoustic characteristics. By identifying the current support configuration through acoustic analysis and selecting the matching calibration parameters from the database, the system adjusts its measurement parameters to compensate for acoustic characteristic changes caused by different object contacts, thus resolving the precision deterioration issue
2Device complexity
If acoustic characteristics are assumed constant for touch detection, then device complexity is reduced, but reliability of input location determination deteriorates
Solution Approach 1:
The system performs preliminary calibration for multiple support configurations before actual use. Acoustic signatures are pre-measured and stored in a database for different device orientations and contact scenarios. During operation, the system simply retrieves the appropriate pre-calibrated data based on detected acoustic characteristics, avoiding complex real-time calculations while maintaining high reliability
Solution Approach 2:
The system creates acoustic signature copies for different support configurations and stores them in a database. Instead of using a single acoustic model, multiple copies representing different device states are maintained. The system selects the appropriate copy based on real-time acoustic analysis, thereby improving reliability without significantly increasing device complexity
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
This approach enables more accurate determination of user input locations on electronic devices, accounting for the influence of physical contact points on acoustic characteristics and improving the precision of touch input detection across different support configurations.
Implementation Method 1
sensors to detect acoustic waves propagating in the device and determine the location of touch inputs on a surface of the device based on the acoustic waves and known acoustic characteristics of the device
Implementation Method 2
acoustic sensing elements to measure acoustic responses and obtain device acoustic signatures for various support configurations
Data Source
AI summary
Methods and devices are provided for determining location of an input on a surface of a device using a plurality of acoustic sensing elements. An exemplary method comprises determining a current support configuration of the device, selecting a device acoustic signature corresponding to the current support configuration, measuring acoustic response corresponding to the input at each acoustic sensing element of the plurality of acoustic sensing elements, and determining the location of the input based on the measured acoustic responses and the selected device acoustic signature for the current support configuration.


