49 results about "Electro-oculography" patented technology

A neuro-informatics repository system is provided to allow efficient generation, management, and access to central nervous system, autonomic nervous system, effector data, and behavioral data obtained from subjects exposed to stimulus material. Data collected using multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), Event Related Potential (ERP), surveys, etc., is stored using a variety of data models to allow efficient querying, report generation, analysis and/or visualization.

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.

The presently disclosed invention is a device for measuring horizontal and vertical eye movement. The device is adaptable to utilize multiple measurement technologies (e.g., direct infrared, electro-oculography, ultrasound, or video), and is capable of measuring each eye individually or both eyes jointly. The present invention overcomes the shortcomings of the prior art by requiring minimal adjustment for accurate measurement, only minimally obstructing the user's visual range (i.e., slightly more than the user's own nose), being made of low cost and readily available material, and by being comprised of a comfortable and efficient design of an adjustable nose and forehead piece with an adjustable head strap. An additional advancement over the prior art is that the presently disclosed device does not require an aperture or frame, as did the prior art, or any additional optics such as, lenses, mirrors, or prisms. The device rests on the user's nose with the sensors located near the nasal area of the eye(s) utilizing a nose bridge component to house the measuring technology. The forehead piece and head strap provide for ease of alignment, added stability, and a wide range of test applications. The greater field of vision provided by this device allows for a wide range of test applications.

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.

Neuro-response data including Electroencephalography (EEG), Functional Magnetic Resonance Imaging (fMRI) is filtered, analyzed, and combined to evaluate the effectiveness of stimulus materials such as marketing and entertainment materials. A data collection mechanism including multiple modalities such as, Electroencephalography (EEG), Functional Magnetic Resonance Imaging (fMRI), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data and removes cross-modality interference.

Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and/or a cross-modality response synthesis.

Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Magnetoencephalography (MEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and/or a cross-modality response synthesis.

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.

Distributed mechanisms are provided for collecting neuro-response data from subjects exposed to the stimulus material in multiple settings. Stimulus material may include marketing and entertainment materials. Neuro-response data collection mechanisms such as Electroencephalography (EEG) and Electrooculography (EOG) are used to collect data from subjects in laboratory and corporate settings. Neuro-response data is transmitted over a network to a data analyzer. The neuro-response data is processed at the data analyzer and effectiveness data for the stimulus material is received.

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.

An eye-gaze tracking device, which detects a gaze direction of a user based on an electro-oculogram, includes: a drift estimating unit which estimates drift noise included in a set of observation voltages among observation voltages that are electro-oculograms generated in a living body and observed at the plurality of electrodes, based on a component outside an electro-oculography subspace that is an assembly of sets of electro-oculograms theoretically observed at a plurality of electrodes; and an eye-gaze tracking unit which detects la the gaze direction of the user, based on a signal generated by removing, from the observation voltages, the drift noise estimated by the drift estimating unit.

Systems, devices, and methods for monitoring a subject using a monitoring patch that may include electroencephalography apparatus, electromyography apparatus, and electrooculography apparatus.

The present disclosure relates to a method for detection of an abnormal sleep pattern based on a dataset of Electrooculography (EOG) signals obtained from a sleeping subject over a time interval, the method comprising the steps of dividing the time interval into a plurality of subintervals, each subinterval preferably corresponding to a sleep epoch, classifying each subinterval in terms of sleep stages, thereby obtaining a temporal sleep stage pattern, wherein a subject having an uncharacteristic temporal distribution of sleep stages is characterized as having an abnormal sleep pattern.

The invention discloses an EOG (Electrooculography)-based ERG (Electroretinography) signal acquisition and processing system and method. The system comprises a control unit, a retinal stimulator unit, an ERG signal acquisition unit and an ERG signal processing unit. The method comprises the following steps: adjusting illumination and flash rate of a stimulation light source; arranging three skin electrodes on the forehead just above eyes of a subject, on the inner sides of the eyes and the bridge of a nose and at eyelids respectively; performing dark adaptation for more than 20 minutes; aligning the eyes of the subject to the stimulation light source; acquiring an EOG signal; performing light stimulation on the eyes of the subject, synchronously acquiring the ERG signals on the inner sides of the eyes and the bridge of the nose and at the eyelids of the subject respectively, and storing after signal conditioning and AD (Analog-Digital) conversion; reading the ERG signals by an ERG signal processing and analysis unit and processing and analyzing the ERG signal. The ERG signals are acquired by using the external skin electrodes, so that the acquisition is more convenient and safer, and the cost is lower; for signal processing, the adopted method is small in operation and high in feasibility and can realize rapid signal processing.

The present invention provides a light-weight wearable sensor that can capture electroencephalogram (EEG or brain signals), electromyography (EMG or muscle signal), and electrooculography (EOG or eye movement signal) using a pair of modified off-the-shelf earplugs. The present invention further provides a supervised non-negative matrix factorization learning algorithm to analyze and extract these signals from the mixed signal collected by the sensor. The present invention further provides an autonomous and whole-night sleep staging system utilizing the sensor's outputs.