Gesture Control System with Eye Gaze Intent Confirmation
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Solution Overview
Problem
Current methods for controlling electronic devices lack effective means to accurately communicate and confirm user intent, particularly in scenarios where accidental selections occur, and there is a need for diverse and intuitive ways to interact with devices without physical contact.
Innovation Solution
The use of eye gaze tracking, head motion, and combinations of body gestures, including dwell-clicking, blink and wink-based interactions, along with the concepts of Period of Limited Activity (POLA) and Primary Control Expression (PCE) Stickiness, to define and confirm user intent through various heuristics and algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gestures are used to control electronic devices, then hands-free control is enabled, but accurate communication and confirmation of user intent becomes difficult
Solution Approach 1:
The system employs multiple feedback mechanisms including eye tracking to monitor user attention, gesture recognition to detect intended actions, and confirmation prompts to verify user intent before executing commands. This feedback loop ensures that hands-free gestures are accurately translated into intended actions while providing opportunities for correction.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the gesture input and device execution. This intermediary analyzes contextual information, user history, and current device state to disambiguate gestures and confirm intent before passing commands to the device, thereby bridging the gap between gesture and reliable execution.
2Reliability
If multiple control methods are provided, then user intent communication improves, but system complexity increases
Solution Approach 1:
The system implements a universal control framework that can handle multiple input modalities (eye tracking, gestures, voice, traditional controls) through a single integrated architecture. This multi-functional design allows the same system to process diverse input types without requiring separate dedicated systems for each method, thereby managing complexity while maintaining versatility.
Solution Approach 2:
The patent merges multiple control methods into a unified control system that processes inputs from various sources (eye tracking data, gesture recognition, voice commands) through a common interpretation engine. This consolidation reduces overall system complexity by sharing common processing resources and decision-making logic across different control modalities.
3Measurement precision
If eye gaze tracking is used to move objects of interest, then control precision improves, but accidental selections increase
Solution Approach 1:
The system performs preliminary actions by first positioning the object of interest using eye gaze tracking, then requiring a separate confirmation gesture or dwell time threshold before executing the selection. This two-stage process allows precise positioning while preventing accidental selections, as the preliminary positioning is not immediately executed without verification.
Solution Approach 2:
The patent implements dynamic thresholds for selection confirmation that adjust based on context. When the system detects potential accidental selections (e.g., rapid eye movements, inconsistent gaze patterns), it dynamically increases the confirmation threshold or requires additional verification gestures. This dynamic adaptation maintains precise control while reducing harmful accidental selections.
Data Source
AI summary
This application includes disclosure of methods, systems, apparatuses as well as principles/algorithms that can be implemented on computer readable medium, for defining user gestures, interpreting user actions, communicating and confirming user intent when communicating with electronic devices. A system for controlling an electronic device by a user is disclosed that includes a microprocessor and a communication link. The microprocessor runs control software for receiving a first signal indicative of a first action of the user, receives a second signal indicative of motion or position of a part of the user's body, and generates a command signal for the electronic device based on a user gesture performed by the user. The communication link communicates the command signal to the electronic device.