Dynamic Device Placement Configuration via Sensor Detection
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Solution Overview
Problem
Portable electronic devices with limited user interfaces face challenges in providing intuitive and flexible configuration options for users, as they often require manual software installation and complex menu navigation, and pairing with secondary devices can be unintuitive and inflexible, limiting real-time adjustments across devices.
Innovation Solution
The Relative Device Placement Configuration (RDPC) system dynamically adjusts device configurations based on the placement of secondary devices, allowing for prioritization and selection of future placements without adhering to fixed schemes, using sensors and machine learning to facilitate intuitive and flexible interaction across various electronic computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual software installation and complex menu navigation are used for device configuration, then device functionality can be adjusted, but user ease of operation deteriorates and time consumption increases
Solution Approach 1:
The system automatically detects the secondary device, determines its placement, and configures the primary device without requiring manual software installation or menu navigation. The device self-services by autonomously completing the configuration process based on sensor data and machine learning models.
Solution Approach 2:
The system performs configuration actions in advance by pre-determining optimal settings based on predicted future placements of the secondary device. This eliminates the need for real-time manual configuration when the user actually needs the device configured.
2Adaptability or versatility
If fixed pairing schemes are used for device placement, then device pairing can be established, but adaptability to different user scenarios deteriorates
Solution Approach 1:
The system transitions from fixed pairing schemes to dynamic placement determination. Sensors continuously monitor the secondary device's position, and the system adapts the primary device's configuration in real-time based on the current placement, enabling versatility across different user scenarios without complex manual pairing.
Solution Approach 2:
The system uses sensor data to continuously feedback on the secondary device's placement and automatically adjusts the primary device's configuration accordingly. This closed-loop feedback mechanism provides adaptability without requiring complex user intervention or fixed pairing protocols.
3Measurement precision
If sensors and machine learning are used to detect device placement and determine future placements, then configuration accuracy and user interaction quality improve, but device complexity and computational requirements increase
Solution Approach 1:
The patent applies sensor systems and machine learning models that can serve multiple functions: detecting current placement, predicting future placements, and determining optimal configurations. This multi-functionality reduces the need for separate specialized systems, managing complexity while maintaining high measurement precision.
Data Source
AI summary
A presence of a secondary device is detected by a primary device. The primary device is operating in a first configuration. A current placement of the secondary device is identified by the primary device. Based on the current placement of the secondary device a list of potential future placements of the secondary device is determined by the primary device. The list of potential future placements of the secondary device is prioritized by the primary device. A first candidate future placement of the secondary device is selected based on the list by the primary device.