Finger Biometric Sensor Dual-Mode Data Acquisition
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Solution Overview
Problem
Current finger biometric sensors, particularly slide-based sensors, face challenges in handling cross-use modes where users may either statically place or slide their fingers, leading to inefficient data acquisition and increased errors in untrained user scenarios, especially in consumer devices like mobile wireless communications devices.
Innovation Solution
A finger biometric sensor with an array of electric field sensing pixels and processing circuitry that can acquire and generate image data from both static and sliding finger motions, using drive circuitry to detect and process biometric data across overlapping pixel sets, enabling dual-use mode functionality and improved error handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a touch-based finger biometric sensor is used, then the sensing area is large, but the production cost increases
Solution Approach 1:
The sensor dynamically adapts its operation mode between static and sliding modes based on user interaction. The processing circuitry detects whether the finger is stationary or moving and switches the sensing mode accordingly, allowing a small sensor area to function effectively in both scenarios without requiring a physically large sensing area
Solution Approach 2:
The sensor is designed to perform multiple functions by supporting both static positioning and sliding motion modes. This multi-functionality allows a single sensor with small area to replace what would traditionally require separate systems or a larger sensor, reducing cost while maintaining versatility
2Ease of manufacture
If a slide-based finger biometric sensor is used, then the production cost is reduced, but the sensor cannot accommodate static finger positioning
Solution Approach 1:
The sensor dynamically switches between static and sliding modes based on detected finger motion. When no motion is detected, it operates in static mode; when motion is detected, it switches to sliding mode. This dynamic adaptation enables cost-effective small-area sensor to handle both positioning modes
Solution Approach 2:
The processing circuitry continuously monitors finger motion and provides feedback to adjust the sensing mode. This feedback mechanism enables the sensor to automatically adapt to user behavior, ensuring optimal performance in both static and sliding modes without requiring manual configuration
3Ease of manufacture
If a slide-based sensor with small sensing area is used, then production cost is reduced, but data acquisition accuracy decreases
Solution Approach 1:
The sensor continuously acquires biometric data in both static and sliding modes without interruption. By maintaining continuous sensing and processing, the system ensures that sufficient image data is collected regardless of motion state, preserving accuracy while using a small sensor area
Solution Approach 2:
The system compensates for the limited spatial dimension (small sensor area) by adding temporal dimension through sequential data acquisition. By collecting multiple frames during sliding motion or multiple samples during static positioning, the system reconstructs complete fingerprint images that maintain accuracy despite the small physical sensor size
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
The solution allows for seamless acquisition of finger biometric data in both touch and slide modes, enhancing user experience and reducing errors by generating sufficient image data for accurate matching and spoof detection, even in scenarios with untrained users.
Implementation Method 1
The array of finger biometric finger sensing pixels may include an array of electric field finger biometric sensing pixels
Data Source
AI summary
A finger biometric sensor may include an array of finger biometric sensing pixels, and processing circuitry. The processing circuitry may be capable of acquiring finger biometric data from the array of finger biometric sensing pixels and generating image data from the finger biometric data. The image data may be generated based upon at least a finger sliding motion when a finger is slid adjacent the array of finger biometric sensing pixels, and a finger static positioning when the finger is statically positioned adjacent the array of finger biometric sensing pixels. The processing circuitry may also be capable of determining a match between the image data and enrolled image data.