Bluetooth Auto-Coupling via Confidence Score Priority List
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Solution Overview
Problem
Existing Bluetooth devices often experience unwanted connections when multiple associated devices are within range, requiring manual disabling and re-enabling, which is inefficient and inconvenient.
Innovation Solution
A method and system that automatically couple Bluetooth devices by identifying nearby devices, determining connection parameters, assigning confidence scores based on a rule engine considering current applications, historic usage patterns, and user preferences, and generating a priority list for optimal device selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If Bluetooth automatically connects to all associated devices within range, then connection convenience is improved, but unwanted connections and device management complexity increase
Solution Approach 1:
The patent changes the connection behavior from automatic connection to all devices to automatic connection based on priority parameters. Each Bluetooth device is assigned a priority level, and the system automatically connects only to devices with the highest priority, transforming the connection decision from a simple automatic connection to a parameter-based selective connection.
Solution Approach 2:
The system provides self-service by automatically managing Bluetooth connections without user intervention. It identifies available devices, determines connection priorities based on pre-configured parameters, and establishes connections autonomously, freeing users from manual connection management while avoiding unwanted connections through priority-based filtering.
2Reliability
If manual disabling and re-enabling of Bluetooth is required to prevent unwanted connections, then connection control is improved, but user convenience and productivity deteriorate
Solution Approach 1:
The system autonomously manages Bluetooth connections by automatically identifying available devices, determining connection priorities based on pre-configured parameters, and establishing connections without user intervention. This self-service approach maintains reliable connection control through priority-based filtering while eliminating the need for manual disabling and re-enabling, thereby improving user convenience and productivity.
Solution Approach 2:
The system continuously monitors the Bluetooth environment, detects available devices, and dynamically adjusts connections based on priority parameters and current connection status. This feedback mechanism ensures reliable connection control by preventing unwanted connections while maintaining automatic convenience, as the system adapts to changing conditions without requiring manual user actions.
3Speed
If Bluetooth connects to any available device, then connection speed is improved, but connection accuracy and suitability worsen
Solution Approach 1:
The patent introduces priority parameters to differentiate between various Bluetooth devices. Instead of connecting to any available device with equal speed, the system evaluates devices based on priority levels and automatically connects to the most suitable device, maintaining fast connection speed while improving connection accuracy through parameter-based selection.
Solution Approach 2:
The system performs preliminary actions by pre-configuring priority parameters for different Bluetooth devices before actual connection needs arise. When a connection is required, the system quickly identifies the highest priority device and establishes connection immediately, maintaining fast connection speed while ensuring connection accuracy through pre-established priority criteria.
Data Source
AI summary
A method and system for automatically coupling Bluetooth devices is disclosed. In some embodiments, the method includes identifying a plurality of Bluetooth devices within a predefined discoverable range of a computing device; identifying one or more current applications running on the computing device; determining a plurality of connection parameters associated with the computing device; assigning a confidence score to each of the plurality of Bluetooth devices based on a rule engine; iteratively generating a priority list by arranging the plurality of Bluetooth devices in an order of connection preference based on assigned confidence scores; coupling at least one Bluetooth device from the plurality of Bluetooth devices with the computing device based on the priority list generated iteratively.