114 results about "Skin response" 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.

The method of reducing contamination of electrical signals recorded in the presence of repeated interference contamination comprises obtaining an electrical signal recorded in the presence of a contaminating signal, and detecting a timing signal that occurs at a fixed time point during the electrical signal relative to the onset of the contaminating signal. The electrical signal is digitized, wherein the digitizing begins with the timing signal. A plurality of digitized electrical signals is analyzed, wherein the electrical signals are synchronized with respect to the timing signal, to obtain an estimated contaminating signal that is subtracted from the digitized electrical signal. This method can be used with electrophysiological signals, such as EEG, ECG, EMG and galvanic skin response, and for elimination of noise associated with concurrently used methods such as MRI. The method of noise reduction is applicable to recordings of other electrical signals, including audio recordings.

A biometric device configured to be attached to a portion of a body of a user measures biometric data of the user. The device includes an optical emitter, a wavelength filter, an optical sensor and a processor, for sending a light to the body of a user, receiving light received from the user, filtering and processing it to measure biometric data of the user, including for example, heart rate and blood flow rate. In addition, the biometric device may include other sensors, such as a galvanic skin response sensor, an ambient temperature sensor, skin temperature, motion sensor, etc., to enable the biometric device to measure arousal or conductivity changing events, ambient temperature, user temperature and motion associated with the user. Additionally, information from each sensor may be used to further filter noise in one or more signals received by the sensors to provide biometric data to the user.

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 performs habituation analysis using central nervous system, autonomic nervous system, and effector data. Subjects are repeatedly exposed to stimulus material 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 determine habituation and associated wear-out profiles for stimulus material.

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.

A system assesses consumer experience portrayal effectiveness by evaluating neuro-response measurements for a consumer directly experiencing stimulus and/or indirectly experiencing stimulus through observation of another. Neuro-response measurements are collected using multiple modalities to evaluate personal and observed experiences of 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. In many instances, neuro-response data is combined with other data and analyzed to assess total consumer experience portrayal effectiveness.

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 computer implemented method and system for providing to a user (a manager) the effectiveness of an entity (employee or group of employees) by analyzing emails, social network data, CRM, calendar data, audio/video data, typing speed, galvanic skin response, etc. The computer method captures, analyzes and displays communication volumes, response times, and sentiment metrics, enabling the user to understand the effectiveness of an entity, optimal use of resources, trends, customer contact, collaboration patterns, security issues, entity turnover, entity health, and ideal work environments.

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.

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.

A method and apparatus for fractional treatment of skin by irradiating the skin with electromagnetic energy is disclosed. Sources of the electromagnetic energy can include radio frequency (RF) generators, lasers, and flashlamps. The apparatus includes at least one sensor configured to detect a positional parameter, a skin characteristic, a skin response, or combinations thereof. The sensor provides feedback to a controller. The controller controls the treatment parameters, including the treatment density. By sensing the positional parameter, skin characteristic and/or skin response to a treatment, the controller automatically adjusts treatment density in real-time in response to the sensed positional parameter, skin characteristic and/or skin response.

An apparatus for interoperably utilizing multiple biosensor data obtained from a finger of the user. A biometric sensor board is retained in a housing adapted for retaining a finger of the user and maintaining multiple sensors in contact with the skin thereof. Implementations are described for fingertip and ring mounted sensor boards. In one implementation, these sensors can be sensors electrodermal response (EDR), or photoplethysmograph (PPG) signals, or temperature, or acceleration in three axes, and combinations thereof. The biometric sensor board registers and processes the signals from the sensors and communicates them to a mobile device which interoperably utilizes multiple sensor information to determine aspects of user emotional state within an application to generate results which are displayed on the mobile device.