Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An eye exam can be performed using an electronic device in a virtual environment to provide a corrective vision prescription covering a field of view. The electronic device can execute a visual assessment application, e.g., by displaying a user interface to create a 3D virtual environment. The electronic device can partition a field of view displayed on the user interface into a plurality of regions. For each of the plurality of regions in the field of view, successively, the electronic device can render a respective visual pattern in the respective region, obtain a user response to the respective visual pattern, and adjust a respective vision correction filter to the respective visual pattern based on the user response. Respective vision correction filters corresponding to the plurality of regions are combined to determine a prescription of an eyewear for a user associated with the electronic device.

Abstract: A user's visual efficacy 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 various environmental factors 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 completes various tasks while enduring various environmental factors in the virtual environment. Optionally, advanced algorithms in the computing device can dynamically alter the visual tasks and analyze a degree to which the user successfully completes the visual tasks evaluate the impact of the environmental factors on the user's vision.

Abstract: A multifocal eyewear fitting procedure can be performed using an electronic device in a virtual environment. The electronic device can execute a visual assessment application and display a user interface to create a 3D virtual environment. A comprehensive prescription for an eyewear can have a plurality of lens portions, and each lens portion may correspond to a distinct region of a field of view and have a respective prescription parameter. The electronic device can generate a bifocal filter, a trifocal filter, and/or a progressive filter based on the comprehensive prescription. The electronic device can obtain 3D visual content for display on the user interface and render a plurality of versions of the first 3D visual content based on the bifocal filter, the trifocal filter, and/or the progressive filter.

Abstract: An eye exam can be performed using an electronic device in a virtual environment to determine vision corrective measures based on vision correction simulation. The electronic device can execute a visual assessment application for displaying a user interface to create a 3D virtual environment corresponding to a field of view of a user associated with the electronic device. The electronic device can render a visual pattern in the field of view and apply a vision correction filter to the visual pattern. The electronic device can obtain a set of user response data captured by a plurality of sensors in response to the visual pattern and determine whether the set of user response data satisfy a response quality criterion. Filter parameters of the vision correction filter can be dynamically adjusted based on the set of user response data until the set of user response data satisfy the response quality criterion.

Abstract: 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.

Abstract: An eye exam can be performed using an electronic device in a virtual environment to determine multifocal parameters of a multifocal eyewear. The electronic device can execute a visual assessment application and obtain a multifocal eyewear prescription of a user associated with the electronic device. The multifocal eyewear prescription can include a multifocal parameter for a lens having a plurality of focal lengths. The electronic device can partition a field of view displayed on the user interface into a plurality of regions, display a visual stimulus successively in two distinct regions of the user interface, and obtain user response data captured by one or more sensors in response to the visual stimulus displayed in the two distinct regions. Based on the user response data, the electronic device can adjust the multifocal parameter of the multifocal eyewear prescription.

Abstract: 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, 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 focuses on various objects displayed in different positions in the virtual environments. Optionally, advanced algorithms in the computing device can dynamically alter the positions of the objects and analyze a degree to which the user focuses on the objects and transitions between near and far focusing to evaluate the user's focusing ability. This dynamic evaluation can facilitate a wider scope of testing and a more detailed assessment of the user's ocular health, as compared to traditional ocular evaluation methods.

Abstract: A virtual reality (VR) system can be implemented for testing light sensitivity and prescribing customized LCD tinted lenses. The system can use an electronic device that includes a head-mounted display (HMD) and eye-tracking sensors. The electronic device can generate a VR user interface corresponding to a three-dimensional virtual environment and render the VR user interface on the HMD. The electronic device can simulate various lighting conditions sequentially in the VR user interface. While simulating, in real time, the electronic device can track gaze direction, blink rate, squinting, and pupillary responses for evaluating light sensitivity performance of the wearer.

Abstract: A virtual reality (VR) system can be implemented for evaluating color perception. The system can use an electronic device equipped with a head-mounted display (HMD) and eye-tracking sensors. The system can generate a VR user interface that creates a three-dimensional virtual environment, which is then rendered on the HMD. Within this immersive setting, the system can present a series of color-coded challenges and puzzles, systematically varying the luminosity and background conditions. As the user engages with these simulations, the eye-tracking sensors can continuously monitor their responses in real-time. The system can then analyze the data collected to assess the user's color perception performance.

Abstract: 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.

Abstract: 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, which can include objects and optotypes, 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 displayed in different positions in the virtual environments. Optionally, advanced algorithms in the computing device can dynamically alter the positions of the objects and optotypes or otherwise change a visual task presented in the virtual environment to optimize vision training for the user. Optionally, the advanced algorithms alter and change the environment and the task based on the user's performance.

Abstract: An eye exam can be performed using an electronic device in a virtual environment to evaluate vision changes of a patient. The electronic device can execute a visual assessment application and display a user interface to create a 3D virtual environment. A predefined video clip can be displayed in the 3D virtual environment and include a plurality of visual sessions corresponding to a sequence of vision tests. While the predefined video clip is played, the electronic device can obtain a stream of sensor data measured by the one or more sensors and determine a plurality of first response parameters to the sequence of vision tests based on the stream of sensor data.

Abstract: A virtual reality (VR) system can be implemented for evaluating color perception under varying luminosities and backgrounds. The system can use an electronic device featuring a head-mounted display (HMD) and eye-tracking sensors. The system can generate a VR user interface that creates an immersive three-dimensional virtual environment, rendered on the HMD. Within this virtual space, the system can present a variety of color perception tasks, systematically altering luminosity and background conditions. As users engage with these tasks, the eye-tracking sensors can continuously monitor responses in real-time. The system can then analyze the data gathered from these interactions to assess the user's color perception performance.

Abstract: A virtual reality (VR) system can be implemented for testing and recommending adaptive eyewear for color blindness. The system can use an electronic device featuring a head-mounted display (HMD) and eye-tracking sensors. The system can generate a VR user interface that creates a three-dimensional virtual environment, rendered on the HMD. Within this virtual space, the system can simulate a variety of color wavelength tasks. As users engage with these tasks, the eye-tracking sensors can continuously monitor responses to the simulated tasks. The system can then analyze the tracked data for color perception performance and recommend adaptive eyewear for color blindness.

Abstract: A virtual reality (VR) system can be implemented to identify potential eye strain issues through prolonged engagement. The system employs an electronic device featuring a high-resolution VR headset with integrated eye-tracking sensors. It generates a VR user interface corresponding to a three-dimensional virtual environment and renders it on the VR headset. Within this environment, the system presents a series of progressively challenging visual tasks. Throughout these tasks, 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 eye strain, potentially allowing for early detection and intervention in cases of visual discomfort during extended VR use.

Abstract: A user's visual disorders can be treated via a virtual reality (VR) system, which can include a VR headset in electronic communication with a computing device. The computing device causes vision tests 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 can collect data about the user as she completes the vision tests. Using the data collected by the VR headset, the computing device can evaluate the user for various visual disorders and develop a personalized vision therapy plan for the user. Optionally, advanced algorithms in the computing device dynamically alter the vision therapy plan based on the user's performance and the progression of her visual disorders.

Abstract: A user's visual capabilities 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 simulated underwater environments, which can include objects, optotypes, and various 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 participates in visual tasks within the simulated underwater environments. Optionally, advanced algorithms in the computing device dynamically alter the simulated underwater environments and the visual tasks and analyze the user's responses to evaluate the user's underwater visual capabilities and her qualification for jobs that require her to work underwater.