Touchscreen User Identification via Object Characteristics
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Solution Overview
Problem
Computing devices face challenges in seamlessly switching between user profiles based on detected user characteristics, often failing to accurately identify changes in users, which can lead to unauthorized access to sensitive applications and features.
Innovation Solution
The implementation of a user identification system that utilizes touchscreen sensors to detect object characteristics such as digit size, fingerprint minutiae, thermal characteristics, movement, and direction, automatically switching between user profiles, including a guest profile if no associated profile is found, and requiring additional authentication if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the computing device uses basic user identification methods, then the device is easy to operate, but the security and reliability of user profile switching deteriorates
Solution Approach 1:
The system performs automatic user identification and profile switching without requiring manual user intervention. The sensor continuously monitors object characteristics and automatically determines when to switch between user profiles, eliminating the need for users to manually select profiles while maintaining high reliability through multi-parameter detection
Solution Approach 2:
The patent replaces traditional manual authentication methods (such as typing passwords or pressing physical buttons) with sensor-based automatic detection. The sensor detects object characteristics including capacitance, resistance, and touch patterns to identify users, substituting mechanical authentication with electronic sensing while improving both ease of operation and reliability
2Reliability
If the computing device implements automatic user profile switching based on detected characteristics, then the reliability of user identification improves, but the device complexity increases
Solution Approach 1:
The sensor serves multiple functions: it detects touch input for normal device operation, monitors object characteristics for user identification, and tracks movement patterns for profile switching. By making the sensor multi-functional, the system achieves reliable automatic user identification without adding separate dedicated hardware components
Solution Approach 2:
The system uses object characteristics (capacitance, resistance, touch patterns) as intermediary data between the physical user and the digital profile switching mechanism. These intermediate measurements allow the system to reliably identify users while keeping the overall system architecture relatively simple through software-based processing of sensor data
3Measurement precision
If the computing device uses multiple sensor detections for user identification, then the measurement precision of user characteristics improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system combines multiple sensor detections (capacitance sensing, resistance measurement, touch pattern recognition) into a unified user identification process. By merging these detection methods and processing them together through integrated algorithms, the system achieves high measurement precision while managing the complexity through coordinated multi-sensor operation rather than separate independent systems
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
Enables secure and seamless switching between user profiles, limiting access to appropriate applications and features based on detected user changes, ensuring that only authorized users can access sensitive information or functions.
Implementation Method 1
a thermal characteristic of the contact
Data Source
AI summary
Various embodiments are generally directed to an apparatus, method and other techniques for detecting an input comprising an object contacting a surface of an apparatus, determining object characteristics based on the detected input and selecting a user profile based on the determined object characteristics.