Finger-Size Biometric Identification for Shared-Device User Interfaces
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Solution Overview
Problem
Existing systems struggle to accurately identify users interacting with multimedia devices, leading to unsatisfactory viewing experiences when multiple users share the same device without proper customization.
Innovation Solution
A system that utilizes biometric detection and interaction analysis to identify users based on their interactions with mobile devices, retrieving and applying personalized user settings to customize the user interface and content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric detection and interaction analysis are implemented to identify users, then user identification accuracy is improved, but device complexity increases
Solution Approach 1:
The user identification system is divided into separate functional modules: biometric data collection module, interaction pattern analysis module, user identification module, and interface customization module. Each module performs a specific function, allowing the system to achieve high identification accuracy through specialized processing while managing complexity through modular architecture.
Solution Approach 2:
The system introduces an intermediary processing layer that collects biometric data and interaction patterns, processes this information through analysis algorithms, and generates user identification results. This intermediary layer acts as a mediator between raw data collection and final identification decisions, improving accuracy while isolating the complexity of analysis algorithms from the core identification function.
2Ease of operation
If personalized user settings are applied to customize the interface, then user experience is improved, but processing time increases
Solution Approach 1:
User preferences and interface customization settings are pre-configured and stored in the system database before actual user interaction. When a user is identified through biometric and interaction analysis, the system rapidly retrieves pre-prepared customization parameters and applies them to the interface, significantly reducing the time required for personalization while maintaining high user experience quality.
Data Source
AI summary
Various embodiments for customizing a user interface based on user capabilities are described herein. An embodiment operates by determining a biometric of a user representing a finger size of the user based on an interaction with a computing device as performed by the user. A user ID identifying the user is determined based on the finger size of the user. The determined user ID is verified by performing one or more verification actions subsequent to the determining the user ID. The user interface is customized based on the finger size of the user.