Gaze Detection Control for Intent-Aware Function Activation
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Solution Overview
Problem
Computing systems face challenges in balancing user interaction prediction with resource conservation, often leading to unnecessary activation of functions or resource waste due to inaccurate detection methods like image-based activity systems.
Innovation Solution
Utilizing gaze detection through an image sensor and neural network processing to determine user intent, enabling functions like facial recognition or display brightness control based on sustained gaze at specific locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image-based activity systems are used to monitor user movement, then user interaction prediction is improved, but resource consumption (power and computing cycles) increases excessively
Solution Approach 1:
The patent extracts only the essential gaze detection function from the full image-based activity monitoring system. Instead of processing complete images for facial recognition and movement analysis, the system selectively captures and processes only gaze direction information using simplified image sensors and processing circuits, thereby maintaining user interaction prediction capability while dramatically reducing power and computational resource consumption
Solution Approach 2:
The patent applies partial action by processing only the portion of visual data necessary for gaze detection rather than complete image analysis. The system uses simplified processing circuits that perform minimal necessary computations to determine gaze direction, avoiding the excessive processing required for full facial recognition and movement monitoring, thus reducing resource consumption while maintaining sufficient user interaction prediction accuracy
2Reliability
If image-based activity systems continuously monitor user movement in real-time, then user interaction detection is improved, but computing resource consumption increases
Solution Approach 1:
The patent implements periodic action by having the image sensor and processing circuits operate in an event-driven manner rather than continuous real-time monitoring. The system activates gaze detection only when necessary (e.g., when user approaches the display or interaction is anticipated), processes gaze data periodically, and remains in a low-power state otherwise, thereby maintaining detection accuracy while significantly improving computing cycle efficiency
Solution Approach 2:
The patent extracts the essential gaze detection function from comprehensive real-time image analysis. By using simplified image sensors and processing circuits that focus solely on capturing gaze direction rather than performing full facial recognition and movement tracking, the system achieves effective user interaction detection with minimal computing resource consumption, avoiding the excessive processing requirements of complete image-based monitoring
3Loss of energy
If computing systems use inactivity timers to control functions, then resource conservation is improved, but user frustration increases due to premature system activation
Solution Approach 1:
The patent implements feedback by continuously monitoring user gaze direction and using this information to dynamically adjust system state. Instead of relying on fixed inactivity timers that may prematurely activate or deactivate functions, the system receives real-time feedback from gaze detection and adjusts timing decisions accordingly, preventing user frustration while maintaining energy conservation through intelligent, user-aware control
Solution Approach 2:
The patent applies dynamics by transitioning from static inactivity timer-based control to dynamic gaze-responsive control. The system adapts its behavior based on real-time gaze data, adjusting function activation and deactivation timing to match actual user intent. This dynamic approach prevents premature system changes that cause user frustration while maintaining power saving benefits through intelligent timing decisions
4Adaptability or versatility
If computing systems activate functions based on any user presence detected by camera, then accessibility is improved, but unnecessary system activations occur wasting computational resources
Solution Approach 1:
The patent applies local quality by focusing gaze detection on specific regions of interest (such as the display area or interaction zone) rather than monitoring the entire field of view. The simplified image sensor and processing circuits are optimized to detect whether the user's gaze is directed toward the display or interaction area, enabling the system to distinguish between relevant and irrelevant user presence. This localized approach maintains system accessibility for legitimate users while preventing unnecessary activations when users are merely present but not engaged, thereby reducing computational resource waste
Data Source
AI summary
Aspects of the present disclosure relate to systems and methods for controlling a function of a computing system using gaze detection. In examples, one or more images of a user are received and gaze information may be determined from the received one or more images. Non-gaze information may be received when the gaze information is determined to satisfy a condition. Accordingly, a function may be enabled based on the received non-gaze information. In examples, the gaze information may be determined by extracting a plurality of features from the received one or more images, providing the plurality of features to a neural network, and determining, utilizing the neural network, a location at a display device at which a gaze of the user is directed.