719 results about "Eye tracking" patented technology

The present invention is directed to a method and system for measuring the biometric (physically, behaviorally, biologically and self-report based) responses of an audience to a presentation or interactive experience that provides a sensory stimulating experience and determining a measure of the level and pattern of engagement of that audience and impact of the presentation or interactive experience. In particular, the invention is directed to a method and system for measuring one or more biometrically based responses of one or more persons being exposed to the presentation in order to determine the moment-to-moment pattern or event based pattern and overall level of engagement. The method and system can include eye tracking to determine areas of the presentation that correspond to high and low levels of biometric responses suggesting high and low levels of visual impact. Further, the invention can be used to determine whether the presentation or the content in the presentation is more effective in a population relative to other presentations (or content) and other populations and to help identify elements of the presentation that contribute to the high level of engagement or impact and the effectiveness and success (or failure) of the presentation for that population.

The present invention relates to improved ophthalmic diagnostic measurement or treatment methods or devices, that make use of a combination of a high speed eye tracking device, measuring fast translation or saccadic motion of the eye, and an eye position measurement device, determining multiple dimensions of eye position or other components of eye, relative to an ophthalmic diagnostic or treatment instrument.

An eye tracker having a waveguide for propagating illumination light towards an eye and propagating image light reflected from at least one surface of an eye, a light source optically coupled to the waveguide, and a detector optically coupled to the waveguide. Disposed in the waveguide is at least one grating lamina for deflecting the illumination light towards the eye along a first waveguide path and deflecting the image light towards the detector along a second waveguide path.

A system for tracking a gaze of an operator includes a head-mounted eye tracking assembly, a head-mounted head tracking assembly and a processing element. The head-mounted eye tracking assembly comprises a visor having an arcuate shape including a concave surface and an opposed convex surface. The visor is capable of being disposed such that at least a portion of the visor is located outside a field of view of the operator. The head-mounted head tracking sensor is capable of repeatedly determining a position of the head to thereby track movement of the head. In this regard, each position of the head is associated with a position of the at least one eye. Thus, the processing element can repeatedly determine the gaze of the operator, based upon each position of the head and the associated position of the eyes, thereby tracking the gaze of the operator.

A device may determine an area at which a user gazes on the display screen. The device may identify on the display screen a screen region which does not overlap the area, may darken the identified screen region, and/or may refresh the display screen by updating a screen region that overlaps the area and not updating the identified screen region.

Certain embodiments of the present invention provide a method and system for using gaze detection to improve information display in a healthcare environment. Certain embodiments of a gaze detection and control system include an information system including information related to at least one image, a display device capable of displaying images and data, and a gaze tracking system for detection a location of a user's gaze with respect to the display device. The gaze tracking system triggers a retrieval of information from the information system based at least in part on the location of the user's gaze, and the retrieved information is displayed at the display device. In an embodiment, the retrieved information is overlaid over an image at the display device. In an embodiment, the gaze tracking system includes at least one camera and/or eyewear, for example.

An eye tracking based user function controlling method and a mobile device adapted thereto are provided. A camera unit of a mobile device is activated while a specific user function is executed. A gaze angle of a user's eye is acquired from an image obtained via the camera unit. An eye tracking function is executed in which execution state is controlled according to the gaze angle.

A system evaluates stimulus materials such as videos, imagery, web pages, text, etc., in order to determine resonance and priming levels for various products and services at different temporal and spatial locations including advertisement breaks in the stimulus materials. The stimulus materials are tagged with resonance and priming level information to allow intelligent selection of suitable advertisement content for insertion at various locations in the stimulus materials. Response data such as survey data and/or neuro-response data including Event Related Potential (ERP), Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding data may be used to determine resonance and priming levels.

A system performs program and commercial response monitoring using neuro-response data such as central nervous system, autonomic nervous system, and effector data. Multiple subjects in multiple markets are exposed to programming and commercials and neuro-response data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Data collected is provided for response integration to measure and track multi-market program and commercial response to stimulus materials.

A system evaluates and selects temporal and spatial locations for introduction of stimulus material. Video streams, physical locations, print advertisements, store shelves, images, commercials, etc. are analyzed to identify locations for introducing stimulus material, such as messages, brand images, products, media, marketing and/or other sales materials. The system analyzes neuro-response measurements from subjects exposed to stimulus material in different temporal and spatial locations. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Neuro-response measurements are analyzed to select temporal and spatial locations for introduction of stimulus material.

A system, apparatus, method, and machine readable medium are described for performing eye tracking during authentication. For example, one embodiment of a method comprises: receiving a request to authenticate a user; presenting one or more screen layouts to the user; capturing a sequence of images which include the user's eyes as the one or more screen layouts are displayed; and (a) performing eye movement detection across the sequence of images to identify a correlation between motion of the user's eyes as the one or more screen layouts are presented and an expected motion of the user's eyes as the one or more screen layouts are presented and/or (b) measuring the eye's pupil size to identify a correlation between the effective light intensity of the screen and its effect on the user's eye pupil size; capturing audio of the user's voice; and performing voice recognition techniques to determine a correlation between the captured audio of the user's voice and one or more voice prints.

A system assesses consumer experience by evaluating neuro-response measurements for a consumer exposed to products, services, offerings, and stimulus. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Components of a consumer experience are analyzed to assess neuro-response measurements specific to each component. In many instances, neuro-response data is combined with other data and analyzed to determine total consumer experience.

A system performs entity and relationship assessment and extraction using neuro-response data such as central nervous system, autonomic nervous system, and effector data. Subjects are exposed to stimulus material and neuro-response data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Data collected is provided to assess and extract entity and relationship formation among individuals, groups, or objects in marketing, advertising, entertainment, and other stimuli.

A system determines neuro-response stimulus and stimulus attribute resonance. Stimulus material and stimulus material attributes such as communication, concept, experience, message, images, audio, pricing, and packaging are evaluated using neuro-response data collected with mechanisms such as Event Related Potential (ERP), Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Neuro-response data is analyzed to determine stimulus and stimulus attribute resonance.

In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes may be determined. The search query may be generated by the user. The database may be a hypermedia database.

Systems, devices, and methods that integrate eye tracking capability into scanning laser projector (“SLP”)-based wearable heads-up displays are described. An infrared laser diode is added to an RGB SLP and an infrared photodetector is aligned to detect reflections of the infrared light from features of the eye. A holographic optical element (“HOE”) may be used to combine visible light, infrared light, and environmental light into the user's “field of view.” The HOE may be heterogeneous and multiplexed to apply positive optical power to the visible light and zero or negative optical power to the infrared light.

Systems, devices, and methods that integrate eye tracking capability into scanning laser projector (“SLP”)-based wearable heads-up displays are described. An infrared laser diode is added to an RGB SLP and an infrared photodetector is aligned to detect reflections of the infrared light from features of the eye. A holographic optical element (“HOE”) may be used to combine visible light, infrared light, and environmental light into the user's “field of view.” The HOE may be heterogeneous and multiplexed to apply positive optical power to the visible light and zero or negative optical power to the infrared light.

The present invention relates to a method and apparatus of utilizing an eye detection apparatus in a medical application, which includes calibrating the eye detection apparatus to a user; performing a predetermined set of visual and cognitive steps using the eye detection apparatus; determining a visual profile of a workflow of the user; creating a user-specific database to create an automated visual display protocol of the workflow; storing eye-tracking commands for individual user navigation and computer interactions; storing context-specific medical application eye-tracking commands, in a database; performing the medical application using the eye-tracking commands; and storing eye-tracking data and results of an analysis of data from performance of the medical application, in the database. The method includes performing an analysis of the database for determining best practice guidelines based on clinical outcome measures.

The invention belongs to the technical field of video monitoring and in particular relates to a human-computer interaction device and a human-computer interaction method adopting human-eye tracking in the video monitoring. The device comprises a non-invasive facial eye image video acquisition unit, a monitoring screen, an eye tracking image processing module and a human-computer interaction interface control module, wherein the monitoring screen is provided with infrared reference light sources around; and the eye tracking image processing module separates out binocular sub-images of a left eye and a right eye from a captured facial image, identifies the two sub-images respectively and estimates the position of a human eye staring position corresponding to the monitoring screen. The invention also provides an efficient human-computer interaction way according to eye tracking characteristics. The unified human-computer interaction way disclosed by the invention can be used for selecting a function menu by using eyes, switching monitoring video contents, regulating the focus shooting vision angle of a remote monitoring camera and the like to improve the efficiency of operating videomonitoring equipment and a video monitoring system.

A system, apparatus, method, and machine readable medium are described for performing eye tracking during authentication. For example, one embodiment of a method comprises: receiving a request to authenticate a user; presenting one or more screen layouts to the user; capturing a sequence of images which include the user's eyes as the one or more screen layouts are displayed; and (a) performing eye movement detection across the sequence of images to identify a correlation between motion of the user's eyes as the one or more screen layouts are presented and an expected motion of the user's eyes as the one or more screen layouts are presented and/or (b) measuring the eye's pupil size to identify a correlation between the effective light intensity of the screen and its effect on the user's eye pupil size.

A system performs stimulus targeting using neuro-physiological and neuro-behavioral data. Subjects are exposed to stimulus material such as marketing and entertainment materials and data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Neuro-physiological and neuro-behavioral data collected is analyzed to select targeted stimulus materials. The targeted stimulus materials are provided to particular subjects for a variety of purposes.

A system performs audience response measurement and tracking using neuro-response data such as central nervous system, autonomic nervous system, and effector data. Subjects are exposed to stimulus material such as marketing and entertainment materials and data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Data collected is analyzed to measure and track audience response to the stimulus materials.