Accelerometer-Based User Identification via Remote Control Movement
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Solution Overview
Problem
Existing user identification methods for electronic devices, such as password entry, are often cumbersome and prone to errors or unauthorized access, particularly in sensitive environments, and there is a need for a more efficient and secure method to authenticate users.
Innovation Solution
A method that utilizes the acceleration patterns of a remote control, detected by an accelerometer, to identify users by comparing the detected acceleration with pre-associated user acceleration patterns, allowing the electronic device to operate based on the identified user, thereby eliminating the need for traditional password entry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional password entry methods are used for user identification, then security control is established, but user access becomes time-consuming and tedious
Solution Approach 1:
The patent replaces the mechanical/manual password entry system with an accelerometer-based biometric identification system. The accelerometer captures unique physical movement patterns of the user manipulating the remote control, and these patterns are automatically analyzed to identify the user, eliminating the need for manual password input while maintaining security.
Solution Approach 2:
The system performs automatic user identification through the accelerometer's continuous monitoring of device manipulation patterns. The user simply needs to hold and manipulate the remote control naturally, and the system automatically captures the acceleration data, compares it against stored profiles, and identifies the user without requiring active participation in a authentication process.
2Reliability
If password-based authentication is implemented, then access control is provided, but errors such as lost or forgotten passwords occur
Solution Approach 1:
The patent replaces the error-prone password-based identification system with an accelerometer-based biometric system that captures unique physical manipulation patterns. These patterns are inherently tied to the user's physical characteristics and muscle memory, making them difficult to lose or forget while maintaining accurate identification.
Solution Approach 2:
The system changes the identification parameter from memorized static data (passwords) to dynamic physical movement patterns captured by the accelerometer. This transformation to a different parameter space eliminates the issues of lost or forgotten credentials while maintaining reliable access control through continuous pattern matching.
3Ease of operation
If simple access methods are used, then ease of operation is improved, but security and authorization control are compromised
Solution Approach 1:
The system provides secure authorization control through automatic identification based on unique acceleration patterns. Users simply need to naturally manipulate the remote control, and the system automatically performs the authentication process by comparing captured patterns against stored user profiles, providing both convenience and security simultaneously.
Solution Approach 2:
The accelerometer acts as an intermediary device that captures the unique physical manipulation patterns of the user. This intermediary translates the user's natural movements into identification data, enabling the system to securely authenticate users through their unique movement characteristics without requiring complex user actions.
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 provides a secure and efficient user identification method that reduces the time and effort required for access, while ensuring only authorized users can access sensitive systems by leveraging unique acceleration patterns associated with each user.
Implementation Method 1
detecting acceleration of a user manipulated component
Data Source
AI summary
Methods, and system, and entertainment device are provided for identifying a user. A method includes detecting acceleration of a user manipulated component, comparing the detected acceleration with user acceleration that is associated with a user of the electronic device, identifying the user of the electronic device based on the comparison of the detected acceleration and the user acceleration, and operating the electronic device based on the identified user of the electronic device.