Wireless Headphone Detection for Accurate Audio Routing
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Solution Overview
Problem
Existing methods for selecting an audio output device in a compute device with multiple paired wireless audio devices often result in the wrong device being chosen, as they rely on recency or priority lists rather than user intent.
Innovation Solution
A compute device uses image recognition and distance measurement to identify the user's headphones, ensuring audio is routed to the correct device based on user wear and proximity, with optional machine-learning training for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If audio output is routed to the most recently used device or device at top of priority list, then device selection is simple and automatic, but the selected device may not be the one the user wants to use
Solution Approach 1:
The patent replaces traditional mechanical/manual device selection methods (priority lists, recency-based selection) with an optical detection system using cameras and image processing algorithms to automatically identify and select the device the user is currently wearing or using, thereby improving selection accuracy while maintaining ease of operation
Solution Approach 2:
The patent introduces an intermediary detection system (camera-based image recognition) that mediates between the user's physical interaction with audio devices and the compute device's audio output routing, allowing the system to accurately determine user intent without requiring manual device selection
2Measurement precision
If image recognition and distance measurement are used to identify user-worn headphones, then audio routing accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by using the compute device's existing camera system (designed for general photography/video) for the specific purpose of headphone detection and identification, thereby improving measurement precision without adding dedicated hardware and minimizing increase in device complexity
Solution Approach 2:
The system uses the compute device's own existing resources (camera, processor, image recognition algorithms) to perform headphone identification, rather than requiring separate dedicated detection hardware, thus achieving high identification accuracy while keeping the system relatively simple
Data Source
AI summary
Techniques for wireless audio device selection are disclosed. In the illustrative embodiment, a compute device uses visual training to recognize headphones worn by a user. When the user puts on the headphones, the compute device may recognize the headphones and automatically route audio output to the headphones. In some embodiments, when selecting from several possible wireless audio output devices, the compute device may determine a distance to each of the wireless audio output devices and select one of the wireless audio output devices based on the distance to the wireless audio output device.