# US 2026/0076567 A1 · Methods and systems for virtual reality eye fatigue monitoring and adjustment > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0076567 A1 - Document ID: US20260076567A1 - Status: Published application - Kind: A1 - Application number: 18/885,515 - Filed: 2024-09-13 - Published: 2026-03-19 - Earliest claimed: 2024-09-13 - Assignees: Zenni Optical, Inc. - Applicants: Zenni Optical, Inc. - Inventors: Steven LEE; Julia ZHEN; ChyrSong TING; Matthew James GOLINO; Justin Paul DEMPSEY; Jeffrey Joseph FILLINGHAM - Web page: https://patentgrep.com/patent/US20260076567A1 ## CPC - A61B 3/113: for determining or recording eye movement - A61B 3/005: {Constructional features of the display} - A61B 3/028: for testing visual acuity; for determination of refraction, e.g. phoropters - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract A virtual reality (VR) system can be implemented to adjust visual complexity based on real-time eye fatigue monitoring. The system utilizes an electronic device that includes a head-mounted display (HMD) and eye-tracking sensors. The device generates a VR user interface corresponding to a three-dimensional virtual environment and renders it on the HMD. While the user interacts with the virtual environment, the system continuously monitors their eye movements and behavior using the eye-tracking sensors. The system analyzes this data to detect signs of eye fatigue. Based on the detected eye fatigue, the system dynamically adjusts the visual complexity of the VR user interface in real-time. This adaptive approach aims to enhance user comfort and potentially extend the duration of VR sessions without causing excessive eye strain. ## Claims ### Claim 1 A method of implementing a virtual reality (VR) system for implementing a virtual reality (VR) system that adjusts visual complexity based on real-time eye fatigue monitoring, comprising: at an electronic device including a head-mounted display and eye-tracking sensors: generating a VR user interface corresponding to a three-dimensional virtual environment; rendering the VR user interface on the head-mounted display; continuously monitoring, using the eye-tracking sensors, user eye movements and behavior; detecting eye fatigue based on the user eye movements and behavior; and dynamically adjusting the visual complexity of the VR user interface based on the detected eye fatigue. ### Claim 2 (depends on 1) The method of claim 1, wherein the eye-tracking sensors comprise infrared cameras with a sampling rate of 200 Hz or higher and sub-degree precision in tracking gaze direction with latency under 10 ms. ### Claim 3 (depends on 1) The method of claim 1, wherein monitoring the user eye movements and behavior comprises tracking blink rate, blink duration, pupil dilation, and fixation stability. ### Claim 4 (depends on 1) The method of claim 1, wherein monitoring user eye movements and behavior and adjusting visual complexity occur in real-time with a latency of less than 100 milliseconds. ### Claim 5 (depends on 1) The method of claim 1, wherein detecting eye fatigue comprises detecting signs of visual fatigue based on changes in eye-tracking metrics, wherein increased blink rate, longer blinks, prolonged pupil dilation or reduced fixation stability indicate eye fatigue. ### Claim 6 (depends on 1) The method of claim 1, wherein adjusting visual complexity is performed gradually to avoid abrupt changes that may disrupt user experience. ### Claim 7 (depends on 1) The method of claim 1, wherein in interactive VR scenarios, adjusting visual complexity comprises modifying text size, reading speed, and visual complexity of diagrams in educational modules, and modulating difficulty levels, NPC density, and environmental effects in gaming environments. ### Claim 8 (depends on 1) The method of claim 1, wherein dynamically adjusting the visual complexity comprises reducing texture resolution, decreasing contrast, simplifying visual details, and dimming bright areas. ### Claim 9 (depends on 1) The method of claim 1, wherein dynamically adjusting the visual complexity is based on a context selected from the group consisting of: education, gaming, and professional training, with context-specific adjustments based on fatigue indicators. ### Claim 10 (depends on 9) The method of claim 9, wherein in a virtual classroom setting, adjustments comprise reducing text density, increasing line spacing, and simplifying background visuals. ### Claim 11 (depends on 9) The method of claim 9, wherein in a gaming environment, adjustments comprise lowering texture resolution, reducing brightness and dynamic lighting effects, and smoothing or slowing down motion effects. ### Claim 12 (depends on 1) The method of claim 1, further comprising adjusting task complexity by reducing the number of simultaneous visual elements based on the detected eye fatigue. ### Claim 13 (depends on 1) The method of claim 1, further comprising using one or more algorithms for pattern recognition to detect signs of fatigue and visual scene simplification to gradually reduce visual complexity. ### Claim 14 (depends on 1) The method of claim 1, further comprising generating a comprehensive report on visual endurance, including insights on fatigue progression, optimal screen time recommendations, and personalized adjustments. ### Claim 15 (depends on 1) The method of claim 1, further comprising calibrating and validating the system using a control group to establish baseline measurements of eye movements and visual performance. ### Claim 16 (depends on 1) The method of claim 1, further comprising generating recommendations for optimal VR usage durations, including session limits, specific break intervals, and visual settings tailored to the user's endurance profile. ### Claim 17 (depends on 1) The method of claim 1, further comprising: establishing baseline eye fatigue levels for the user; comparing real-time eye tracking data to the baseline levels; and initiating visual complexity adjustments when deviations from the baseline exceed predetermined thresholds. ### Claim 18 (depends on 1) The method of claim 1, further comprising: allowing user input to fine-tune the sensitivity of fatigue detection and the degree of visual adjustments; storing user preferences for future VR sessions; and adapting the system's response to eye fatigue based on accumulated user data over multiple sessions. ### Claim 19 A system for implementing a virtual reality (VR) system that adjusts visual complexity based on real-time eye fatigue monitoring, comprising: a head-mounted display; eye-tracking sensors; one or more processors; and memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for: generating a VR user interface corresponding to a three-dimensional virtual environment; rendering the VR user interface on the VR headset; continuously monitoring, using the eye-tracking technology, user eye movements and behavior; and dynamically adjusting the visual complexity of the VR user interface based on detected eye fatigue levels. ### Claim 20 A non-transitory computer-readable storage medium storing one or more programs configured to be executed by one or more processors of an electronic device with a head-mounted display and eye-tracking sensors, the one or more programs including instructions for: generating a VR user interface corresponding to a three-dimensional virtual environment; rendering the VR user interface on the VR headset; continuously monitoring, using the eye-tracking technology, user eye movements and behavior; and dynamically adjusting the visual complexity of the VR user interface based on detected eye fatigue levels.