Device User Recognition Through Dual Movement Data
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Solution Overview
Problem
Existing devices struggle to reliably and efficiently recognize users without requiring additional, often expensive sensors, and conventional motion sensors fail to accurately detect user presence or movement patterns.
Innovation Solution
A method and control unit that utilize movement data from both a device's motion sensor and a user's mobile device, such as a smartphone or smartwatch, to compare and match movement patterns for user recognition, eliminating the need for additional sensors and enabling precise user detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional sensors are installed in the device for user recognition, then user detection accuracy is improved, but device cost and complexity increase
Solution Approach 1:
The patent makes the mobile device serve dual purposes: it functions as both the user's personal device and as a sensor for detecting user movements and gestures. The mobile device's built-in sensors (accelerometer, gyroscope, magnetometer) are utilized to capture movement data that helps recognize user presence and actions, eliminating the need for dedicated sensors in the target device.
Solution Approach 2:
The mobile device acts as an intermediary between the user and the target device. It captures movement data from the user and transmits this information to the target device for analysis and user recognition. This intermediary approach allows the target device to leverage the mobile device's sensing capabilities without requiring additional hardware installation.
2Device complexity
If conventional motion sensors are used in the device, then device simplicity is maintained, but user presence detection accuracy deteriorates
Solution Approach 1:
The patent combines data from multiple sources: the target device's conventional motion sensors and the mobile device's advanced sensors. By merging these data streams and analyzing movement patterns together, the system achieves superior user presence detection accuracy while keeping the target device simple and avoiding additional sensor installation.
Data Source
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Figure 3a~3b
AI summary
The approach presented here relates to a method for recognizing a user of a device (100). The method comprises a step of reading first movement data (115) from a movement sensor of the device (100) into an evaluation unit of the device (100). The first movement data (115) represents a movement of the user. The method further comprises a step of receiving second movement data (140) from the mobile device (145) by a receiving unit. The second movement data (140) represents a movement of the user. The method further comprises a step of comparing the first movement data (115) with the second movement data (140) in order to recognize the user if the first movement data (115) has a predetermined relationship to the second movement data (140).