Eye Detection Video Playback Control
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Solution Overview
Problem
Conventional video content display technologies, such as head tracking and motion sensing, fail to accurately manage video playback when users fall asleep or are not actively watching, often pausing or stopping content inappropriately due to lack of user engagement.
Innovation Solution
An intelligent system employing eye detection using an image sensor and processor to capture and process images of users, detecting open eyes to determine if a user is watching, and taking predetermined actions such as pausing or stopping video content, adjusting volume, or powering off devices if no eyes are detected, while maintaining display for a predetermined time if eyes are present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional head tracking or motion sensing is used to detect user engagement, then the system can attempt to manage video playback automatically, but the detection accuracy is insufficient leading to inappropriate pausing or stopping when users fall asleep
Solution Approach 1:
The patent replaces conventional motion sensing and head tracking mechanisms with eye detection technology. The eye detection system captures images of the user's eyes and analyzes them to determine engagement state, substituting the less accurate mechanical sensing approaches with optical-based eye analysis that provides superior detection precision and reliability
Solution Approach 2:
The system changes the detection parameter from general head position or motion to specific eye state (open/closed). By focusing on the binary state of eye openness rather than broader head movement parameters, the system achieves more accurate and reliable determination of user engagement, particularly in distinguishing between looking away and falling asleep
2Ease of operation
If manual control is required for video playback, then the user has full control over playback actions, but the user experience becomes less convenient requiring active participation
Solution Approach 1:
The system enables self-service automation by using eye detection to automatically determine when to pause or resume video playback without requiring manual user input. The device serves itself by monitoring its own usage context through eye state detection and autonomously making playback control decisions, eliminating the need for continuous manual intervention while maintaining appropriate control responsiveness
Solution Approach 2:
The system implements feedback control by continuously monitoring eye state and using this information to automatically adjust playback status. The eye detection provides real-time feedback about user engagement, which feeds back to the playback control system to automatically pause when eyes are closed and resume when eyes open, creating a closed-loop automated control system that enhances convenience
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively manages video content display by ensuring continued playback when users are engaged and taking appropriate actions when they are not, such as pausing or powering off, while allowing users to resume playback from the last viewed position, enhancing user convenience and energy efficiency.
Implementation Method 1
capturing, with an image sensor, an image of a user
Data Source
AI summary
An embodiment provides a method, including: capturing, with an image sensor, an image of a user; detecting, using a processor, at least one open eye of the user within the image; and responsive to said detecting, maintaining display of video content for a predetermined time. Other aspects are described and claimed.