Portable Computer User Identification via Sensor Data Analysis
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Solution Overview
Problem
Users are burdened with carrying multiple documents for identity verification, such as vehicle keys and access cards, which is cumbersome and space-consuming.
Innovation Solution
A computer-implemented identification method using a portable device to collect and evaluate user-specific sensor data, creating a user profile, and comparing it with current sensor data for verification, allowing for simplified identity confirmation through speed, acceleration, position, temperature, usage, sound, and image data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple physical documents (vehicle keys, access cards) are carried for identity verification, then identification security is maintained, but user convenience deteriorates and pocket space is consumed
Solution Approach 1:
The patent combines multiple identification functions (vehicle key, access card, identity verification) into a single portable computer device. The device integrates various sensors (acceleration, speed, position, temperature, sound, image) to create a comprehensive user profile that serves multiple identification purposes, eliminating the need to carry separate physical documents for each function.
Solution Approach 2:
The patent replaces mechanical/physical identification systems (physical keys, cards, documents) with an electronic/digital system. Instead of using physical objects that require manual handling and storage, the system uses digital sensor data collection, profile creation, and automated comparison algorithms to perform identification tasks electronically.
2Measurement precision
If a comprehensive user profile is created using extensive sensor data collection over long periods, then identification accuracy is improved, but data collection time and system complexity increase
Solution Approach 1:
The patent segments the identification process into two distinct phases: (1) a learning phase where sensor data is collected over an extended period to create a comprehensive user profile, and (2) a verification phase where current sensor data is quickly compared against the established profile. This segmentation allows the system to gather necessary data without requiring continuous long-term data collection during actual verification.
Solution Approach 2:
The system performs preliminary data collection and profile creation in advance during the learning phase. By pre-establishing the user profile with extensive sensor data before actual verification is needed, the system eliminates the need for complex real-time data collection during verification, reducing both time and computational complexity when identification is actually required.
3Adaptability or versatility
If multiple sensor types are used to collect user-specific data, then user profile completeness is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent makes the portable computer device multi-functional by integrating various sensor types (acceleration, speed, position, temperature, sound, image) that can serve multiple purposes. The same sensor suite used for creating a comprehensive user profile can also detect device loss conditions, providing multiple functions from a single integrated system rather than requiring separate specialized devices for each function.
Data Source
AI summary
An identity of a user may be verified using a computer-implemented identification. User-specific sensor data arising through use of the portable computer by the user is collected from sensors of a portable computer. A user profile is prepared based on the user-specific user data. Current sensor data is read in, from the sensors, representative of current usage of the portable computer. The current sensor data is compared with the user profile. The identity of the user is confirmed responsive to the current sensor data corresponding to the user profile.