Home Entertainment Sensing Interfaces for Automated User Response
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Solution Overview
Problem
Current home entertainment systems lack the ability to utilize user presence and interaction detection to enhance system functionalities, such as automating responses to common events or improving responsiveness, and capturing user viewing habits and preferences.
Innovation Solution
Incorporating sensing interfaces like cameras and microphones to detect user presence and interactions, which enable automated system responses and enhance responsiveness, and using this data with central routing appliances to analyze user viewing habits and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If sensing interfaces (camera, microphone, RF device detection) are incorporated to detect user presence and interactions, then system responsiveness and automated responses are improved, but device complexity increases
Solution Approach 1:
The system divides user detection into separate sensing interfaces: camera for visual presence, microphone for audio interactions, and RF device detection for wireless device identification. Each interface handles specific detection tasks independently, allowing modular processing and reducing overall system complexity while enabling automated responses.
Solution Approach 2:
The central routing appliance serves multiple functions: it routes media streams between devices and simultaneously processes data from multiple sensing interfaces to detect user presence and interactions. This multi-functionality consolidates detection and control capabilities in a single device, improving automation without proportionally increasing complexity.
2Measurement precision
If multiple sensing interfaces are used to detect user presence and interactions, then measurement precision of user behavior is improved, but device complexity increases
Solution Approach 1:
Different sensing interfaces (camera, microphone, RF device detector) are assigned to detect specific aspects of user behavior: visual presence, audio interactions, and wireless device presence respectively. This segmentation allows each interface to optimize for its specific detection task, improving overall measurement precision while maintaining manageable complexity through specialized processing.
Solution Approach 2:
Data from multiple sensing interfaces is combined and processed together by the central routing appliance to create a comprehensive understanding of user behavior. By merging visual, audio, and RF detection data, the system achieves high measurement precision for user interactions without requiring each individual interface to be overly complex.
Data Source
AI summary
Sensing interfaces associated with a home entertainment system are used to automate a system response to events which occur in a viewing area associated with the home entertainment system. Data derived from such sensing interfaces may also be used to enhance the response readiness of one or more system components. Still further, user presence data derived from such sensing interfaces may be used to capture and report user viewing habits and/or preferences.