Audio-Based Human Presence Detection for Smart TVs
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Solution Overview
Problem
Existing home entertainment systems and smart TVs lack the ability to detect human presence in a room, leading to inefficient power usage and security concerns, as they cannot automatically adjust settings or log off services based on occupancy.
Innovation Solution
A system that captures and compares audio features from both content and room environments using statistical measures like coefficient of variation, allowing inference of human presence through significant differences, and implementing features extraction and normalization processes to determine presence or absence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If home entertainment systems continuously operate to provide services, then service availability is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary detection of human presence using audio sensors before transitioning to different operational states. By detecting absence of human presence in advance, the system can proactively enter low-power states or shut down, while maintaining service availability by quickly reactivating when presence is detected.
Solution Approach 2:
The system dynamically adjusts its operational state based on real-time human presence detection. It transitions between active, low-power, and shutdown states depending on whether humans are detected in the environment, optimizing the balance between service availability and power consumption.
2Ease of operation
If services remain accessible without authentication, then ease of operation is improved, but security deteriorates
Solution Approach 1:
The system continuously monitors the environment for human presence and provides feedback to the service access control. When human presence is detected, services remain accessible; when absence is detected, the system automatically logs off or shuts down services, dynamically adjusting security based on real-time environmental feedback.
Solution Approach 2:
The system performs automatic login and logout operations based on detected human presence without requiring manual user intervention. The presence detection triggers automatic authentication state changes, making the security management self-service oriented.
3Measurement precision
If audio processing is performed continuously, then detection accuracy is improved, but computational resources are consumed
Solution Approach 1:
Instead of continuous audio processing, the system performs periodic sampling of audio signals to detect human presence. This approach maintains detection accuracy by regularly monitoring the environment while significantly reducing computational resource consumption compared to continuous processing.
Data Source
AI summary
Methods, systems and computer program products that allow for the determination of human presence in a room where content is being presented. The audio that is associated with the content may be captured, along with the audio that is being generated collectively by whatever sources may be in the room including the presentation of the content. Features may be extracted from both the content audio and the room audio. These features may then be compared, and the differences may be quantified. If the differences are significant, then human presence may be inferred.