Patent classifications
G06V40/19
Method and device for carrying out eye gaze mapping
The invention relates to a device and a method for performing an eye gaze mapping (M), in which at least one point of vision (B) and/or a viewing direction of at least one person (10) in relation to at least one scene recording (S) of a scene (12) viewed by the at least one person (10) is mapped onto a reference (R). At least a part of an algorithm (A1, A2, A3) for performing the eye gaze mapping (M) is thereby selected from multiple predetermined algorithms (A1, A2, A3) as a function of at least one parameter (P), and the eye gaze mapping (M) is performed on the basis of the at least one part of the algorithm (A1, A2, A3).
Measurement method and system
Methods and systems for determining an individual gaze value are disclosed herein. An exemplary method involves: (a) receiving gaze data for a first wearable computing device, wherein the gaze data is indicative of a wearer-view associated with the first wearable computing device, and wherein the first wearable computing device is associated with a first user-account; (b) analyzing the gaze data from the first wearable computing device to detect one or more occurrences of one or more advertisement spaces in the gaze data; (c) based at least in part on the one or more detected advertisement-space occurrences, determining an individual gaze value for the first user-account; and (d) sending a gaze-value indication, wherein the gaze-value indication indicates the individual gaze value for the first user-account.
Measurement method and system
Methods and systems for determining an individual gaze value are disclosed herein. An exemplary method involves: (a) receiving gaze data for a first wearable computing device, wherein the gaze data is indicative of a wearer-view associated with the first wearable computing device, and wherein the first wearable computing device is associated with a first user-account; (b) analyzing the gaze data from the first wearable computing device to detect one or more occurrences of one or more advertisement spaces in the gaze data; (c) based at least in part on the one or more detected advertisement-space occurrences, determining an individual gaze value for the first user-account; and (d) sending a gaze-value indication, wherein the gaze-value indication indicates the individual gaze value for the first user-account.
Waypoint creation in map detection
An augmented reality (AR) device can be configured to generate a virtual representation of a user's physical environment. The AR device can capture images of the user's physical environment to generate a mesh map. The AR device can project graphics at designated locations on a virtual bounding box to guide the user to capture images of the user's physical environment. The AR device can provide visual, audible, or haptic guidance to direct the user of the AR device to look toward waypoints to generate the mesh map of the user's environment.
PUPIL DETECTION DEVICE, LINE-OF-SIGHT DETECTION DEVICE, OCCUPANT MONITORING SYSTEM, AND PUPIL DETECTION METHOD
A pupil detection device includes an eye area image obtaining unit that obtains image data representing an eye area image in a captured image obtained by a camera; a luminance gradient calculating unit that calculates luminance gradient vectors corresponding to respective individual image units in the eye area image, using the image data; an evaluation value calculating unit that calculates evaluation values corresponding to the respective individual image units, using the luminance gradient vectors; and a pupil location detecting unit that detects a pupil location in the eye area image, using the evaluation values.
PUPIL DETECTION DEVICE, LINE-OF-SIGHT DETECTION DEVICE, OCCUPANT MONITORING SYSTEM, AND PUPIL DETECTION METHOD
A pupil detection device includes an eye area image obtaining unit that obtains image data representing an eye area image in a captured image obtained by a camera; a luminance gradient calculating unit that calculates luminance gradient vectors corresponding to respective individual image units in the eye area image, using the image data; an evaluation value calculating unit that calculates evaluation values corresponding to the respective individual image units, using the luminance gradient vectors; and a pupil location detecting unit that detects a pupil location in the eye area image, using the evaluation values.
COCKPIT DISPLAY AMBIENT LIGHTING INFORMATION FOR IMPROVING GAZE ESTIMATION
A computer-implemented method is described. The method is be implemented by processors of an aircraft system. The method includes receiving images of an eye and a lighting configuration associated with a cockpit of an aircraft. The method further includes detecting a position of the eye within each of the images. The method further includes compensating for a pupillary light response of the eye based on the position of the eye within the image and the lighting configuration. By compensating for the pupillary light response, a fatigue level of the operator is estimated with reduced noise.
SYSTEM AND METHOD FOR ASSESSING OPERATOR SITUATIONAL AWARENESS VIA CONTEXT-AWARE GAZE DETECTION
A system and method for continuous real-time assessment of the situational awareness of an aircraft operator incorporates gaze sensors to determine the current gaze target (or sequence of gaze targets) of the operator, e.g., which interfaces the operator is looking at. The system receives operational context from aircraft systems indicative of current events and conditions both internal and external to the aircraft (e.g., operational status, mission or flight plan objectives, weather conditions). Based on the determined gaze targets and coterminous operational context, the system evaluates the situational awareness of the operator relative to the operational context, e.g., perceptive of the operational context; comprehending the operational context and its implications, and projecting the operator's perception and comprehension into responsive action and second-order ramifications according to task models indicative of expected behavior.
Devices, systems and methods for predicting gaze-related parameters using a neural network
A method for creating and updating a database is disclosed. In one example, the method includes presenting a first stimulus to a first user wearing a head-wearable device, using a first camera of the head-wearable device to generate. When the first user is expected to respond to the first stimulus or expected to have responded to the first stimulus, using a second camera of the head-wearable device to generate a first right image of at least a portion of the right eye of the first user. A data connection is established between the head-wearable device and the database. A first dataset is generated comprising the first left image, the first right image and a first representation of a gaze-related parameter, the first representation being correlated with the first stimulus, and adding the first dataset to a device database.
Devices, systems and methods for predicting gaze-related parameters using a neural network
A method for creating and updating a database is disclosed. In one example, the method includes presenting a first stimulus to a first user wearing a head-wearable device, using a first camera of the head-wearable device to generate. When the first user is expected to respond to the first stimulus or expected to have responded to the first stimulus, using a second camera of the head-wearable device to generate a first right image of at least a portion of the right eye of the first user. A data connection is established between the head-wearable device and the database. A first dataset is generated comprising the first left image, the first right image and a first representation of a gaze-related parameter, the first representation being correlated with the first stimulus, and adding the first dataset to a device database.