Zenni Optical, Inc.

A virtual eye test can be performed for visual field testing using a dynamic grid of light points in a virtual reality (VR) environment. The test can be conducted using an electronic device with a head-mounted display (HMD) and a camera. The device can generate and render a VR user interface in a three-dimensional virtual environment, simulating test scenarios with a dynamic grid of light points. The device can continuously track eye movements in response to one or more visual stimuli and analyze the detection and identification of light points to assess visual detection across the visual field.

A patient's visual health can be evaluated via a virtual reality (VR) system, which includes a VR headset in electronic communication with a computing device. The computing device causes virtual environments, which can include objects, to be displayed on the VR headset. Using varying combinations of eye-tracking sensors, eye-tracking cameras, motion-tracking sensors, handheld devices, and microphones, the VR headset collects data about the patient as she tracks the objects as the objects are displayed in different positions in the virtual environments. Optionally, advanced algorithms in the computing device dynamically alter the positions of the objects and analyze the patient's eye-tracking to evaluate the patient for eye movement disorders. This dynamic evaluation can facilitate a wider scope of testing and a more detailed assessment of the patient's ocular health, as compared to traditional ocular evaluation methods.

A virtual eye test can be conducted to evaluate night vision and glare sensitivity in a virtual reality (VR) environment. The test can be conducted using an electronic device that includes a head-mounted display (HMD) and a camera. The electronic device can generate a VR user interface corresponding to a photorealistic virtual environment and render the VR user interface on the HMD. The electronic device can simulate one or more dynamic lighting scenarios and while simulating these scenarios, in real time, continuously track eye movements and response times to visual stimuli using the camera. The device can then evaluate user response based on the eye movements and response times for testing night vision and glare sensitivity.

A user's visual health can be evaluated via a virtual reality (VR) system, which can include a VR headset in electronic communication with a computing device. The computing device causes virtual environments with different lighting conditions to be displayed on the VR headset. Using varying combinations of eye-tracking sensors, eye-tracking cameras, motion-tracking sensors, handheld devices, and microphones, the VR headset collects data about the user as she responds to the different lighting conditions in the virtual environments. The computing device can process this data to determine an extent to which exposure to ultraviolet (UV) light has impacted the user's visual health. Optionally, the VR system is configured to teach the user about different scenarios where she might be exposed to UV light and how to protect herself against UV light.

A user's vision and reflexes can be improved via a virtual reality (VR) system, which can include a VR headset in electronic communication with a computing device. The computing device causes virtual environments, which can include various lighting and weather conditions, to be displayed on the VR headset. The computing device can cause various dynamic and sports-related exercises to occur in the virtual environment. Using varying combinations of eye-tracking sensors, eye-tracking cameras, motion-tracking sensors, handheld devices, and microphones, the VR headset collects data about the user as she participates in the exercises. Optionally, advanced algorithms in the computing device dynamically alter the virtual environments and the exercises based on the user's responses to challenge the user or tailor the exercises to her needs.

A user's accommodative spasm can be evaluated and mitigated via a virtual reality (VR) system, which can include a VR headset in electronic communication with a computing device. The computing device causes virtual environments, which can include objects, optotypes, various lighting conditions, and various weather conditions, to be displayed on the VR headset. Using varying combinations of eye-tracking sensors, eye-tracking cameras, motion-tracking sensors, handheld devices, and microphones, the VR headset collects data about the user as she focuses on various objects placed at different distances away from her in the virtual environments. Optionally, advanced algorithms in the computing device dynamically alter the virtual environments and the visual tasks and analyze the user's responses to evaluate the user's accommodative spasm.

A user's visual health can be improved via a virtual reality (VR) system, which can include a VR headset in electronic communication with a computing device. The computing device causes virtual environments, which can include objects, to be displayed on the VR headset. Using varying combinations of eye-tracking sensors, eye-tracking cameras, motion-tracking sensors, handheld devices, and microphones, the VR headset collects data about the user as she tracks objects displayed at different positions in the virtual, three-dimensional environments. Optionally, advanced algorithms in the computing device can dynamically alter the positions of the objects and analyze a degree to which the user successfully completes the eye exercises to adjust the difficulty of the exercises.

A virtual reality (VR) system can be implemented to test the effects of cognitive load and mental fatigue on vision. The system employs an electronic device featuring a high-resolution VR headset with integrated eye-tracking sensors. The system generates a VR user interface that simulates high-stress multitasking scenarios and renders this interface on the VR headset. Within this virtual environment, the system presents a series of interactive multitasking scenarios designed to induce varying levels of cognitive load. Throughout these scenarios, the system continuously monitors the user's eye movements and behavior using the eye-tracking sensors. The collected data is then evaluated for indicators of cognitive load and mental fatigue, potentially revealing how these factors may influence visual performance and eye behavior in demanding cognitive situations.

A virtual reality (VR) system can be implemented to evaluate visual discomfort in users with eye strain sensitivity. The system utilizes an electronic device equipped with a high-resolution VR headset and eye-tracking sensors. The system generates a VR user interface that simulates visually demanding tasks and renders this interface on the VR headset. Within this virtual environment, the system presents a series of interactive scenarios designed to potentially induce visual stress. Throughout these scenarios, the system continuously monitors the user's eye movements and behavior using the eye-tracking sensors. The collected data is then analyzed for indicators of eye strain and visual discomfort, potentially providing insights into individual susceptibility to visual stress and informing strategies for mitigating discomfort in VR and other visually demanding environments.

A virtual reality (VR) system can be implemented for real-time visual health monitoring during extended use. The system employs an electronic device featuring a head-mounted display (HMD) and eye-tracking sensors. It generates a VR user interface corresponding to a three-dimensional virtual environment and renders it on the VR headset. During extended VR sessions, the system continuously monitors the user's eye movements and behavior using the eye-tracking sensors. This data is analyzed to detect various visual health indicators. Based on these indicators, the system dynamically adjusts the VR user interface to optimize the visual experience and potentially mitigate negative effects on the user's visual health during prolonged VR use.