Head-Mounted VR Input Detection Through Eye-Gesture Coordination
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Solution Overview
Problem
Current VR and AR technologies face challenges in recognizing user inputs, leading to slow response times, lack of intuitiveness, and user frustration due to steep learning curves and latency issues.
Innovation Solution
A rapid user input determination system utilizing a head-mounted device with eye-tracking and motion sensing capabilities to detect visual focus and hand gestures, enabling real-time command execution through coordinated eye and hand movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional VR/AR systems use eye gaze or blinks to confirm user inputs, then the system can recognize user inputs, but the response time is too slow and user experience is affected
Solution Approach 1:
The system performs preliminary actions by continuously tracking eye movements and hand gestures before user input confirmation is needed. The eye-tracking unit and motion sensing device operate in advance to capture user intentions, enabling the system to respond immediately when the user completes their input action rather than waiting for explicit confirmation signals like blinks.
Solution Approach 2:
The patent replaces the mechanical/conventional confirmation mechanism (blinks or deliberate eye gaze fixation) with a more sophisticated multi-sensor system combining eye-tracking units and motion sensing devices. This substitution enables continuous, subtle input detection that responds to natural user behavior patterns rather than requiring deliberate confirmation actions.
2Adaptability or versatility
If conventional VR/AR systems use complex operation methods, then the system can function, but the learning curve is steep and users need extra time to adapt
Solution Approach 1:
The system performs self-service by automatically interpreting user intentions through continuous eye tracking and motion sensing. Instead of requiring users to learn and execute complex manual control schemes, the system adapts to natural user behavior patterns, automatically determining when and what the user intends to select or interact with based on their eye movements and hand gestures.
Solution Approach 2:
The patent changes the interaction parameters from deliberate, learned commands to natural, continuous physiological signals. By monitoring eye movement parameters and hand gesture parameters in real-time, the system transforms the interaction model from discrete learned actions to continuous natural behaviors, significantly reducing the learning curve while maintaining full system functionality.
3Productivity
If conventional VR/AR systems have delays in recognizing and responding to commands, then the system can process inputs, but latency disrupts the seamlessness and fluidity between virtual and real world
Solution Approach 1:
The system ensures continuity of useful action by maintaining constant eye tracking and motion sensing operations throughout the interaction process. Rather than processing commands in discrete batches, the system continuously monitors user intentions and processes inputs as they occur, eliminating gaps and delays that would disrupt the seamless transition between virtual and real world experiences.
Solution Approach 2:
The patent implements real-time feedback loops where the eye-tracking unit and motion sensing device continuously monitor user actions and immediately feed this information back to the system processor. This rapid feedback enables the system to respond instantaneously to user intentions, maintaining the fluidity and seamlessness of the virtual-real world transition by eliminating processing delays.
Data Source
AI summary
A rapid user input determination system includes a control device, a head-mounted device signal connected to the control device, and a motion sensing device. The control device is configured to receive and store a command as a user input to the head-mounted device or the motion sensing device, and to output a corresponding content to the head-mounted device or the motion sensing device. The control device combines a visual focus of the user detected by the head-mounted device with a triggering action or a triggering posture as the command, and the triggering action and the triggering posture are performed by the user and detected by the motion sensing device. When the control device receives the command, the control device interacts with or operates at least one Internet of Things (IoT) device, or adjusts a content presented on the head-mounted device according the command.