Abstract:
A system modifies video by embedding portions of media, such as subsets of image pixels, in video frames. When the video is played at normal speed, the media is not discernible. However, when the video is played at an accelerated rate in the forward or reverse direction, the portions of images embedded in video frames coalesce into discernible media. The embedded media may be simple text, images, video, audio, or other media. The system may also evaluate base videos as well as insertion media using neuro-response measurements to determine how and what type of media to embed. The media may be embedded in real-time or near real-time into video for delivery to a user for playback on devices such as digital video recorders, computer systems, software and hardware players, cable boxes, etc.
Abstract:
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.
Abstract:
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.
Abstract:
Provided are mechanisms and processes relating to intelligent variable resistance exercise equipment such as a weight lifting machine or weight training apparatus. In one example, a system includes a magnetic resistance mechanism that applies and varies magnetic resistance corresponding to gravity based weight resistance for a user performing a weight training exercise. The equipment may include data storage that maintains exercise profiles and a processor that adjusts the amount of gravity based weight resistance based on a profile identified for the user.
Abstract:
A system analyzes neuro-response measurements including regional electroencephalography (EEG) measurements from subjects exposed to stimulus materials to determine locations in stimulus materials eliciting controlled attention and automatic attention. Additional stimulus materials are inserted into locations having salient attention attributes. In some examples, a challenging task is used to direct controlled attention onto a location and additional stimulus material is subtly presented in the location to benefit from automatic attention and salient attention measurements.
Abstract:
Methods and apparatus for providing video with embedded media are disclosed. An example method includes dividing an image comprising a number of pixels into a number of portions, each portion including less than all of the pixels of the image, and blending respective ones of the portions with different video frames of a stream of video frames comprising a host presentation, wherein the media reaches a discernibility threshold when the host presentation is played at an accelerated rate.
Abstract:
The human mirror neuron system includes neurons that fire both when an individual performs an action and when the individual observes the action being performed by another. Neuro-response data involving the mirror neuron system is collected as a subject is exposed to stimulus material. The stimulus material may include individuals performing actions such as making a purchase, accepting an offer, participating in an activity, etc. Neuro-response data involving the mirror neuron system of the subject is analyzed to determine the propensity of the subject to act.
Abstract:
Example methods, systems, and machine readable media are disclosed herein for determining a subject resonance measurement. An example method includes accessing first neuro-response data obtained from a subject prior to exposure to an advertisement or entertainment and second neuro-response data obtained from the subject after exposure to the advertisement or the entertainment, respectively. The example method includes calculating, using a processor, a first event related potential measurement and a second event related potential measurement based on the first neuro-response data and the second neuro-response data. The example method includes calculating, using the processor, a differential event related potential measurement based on the first event related potential measurement and the second event related potential measurement. In addition, the example method includes determining a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement.
Abstract:
Example methods, systems and machine readable instructions are disclosed for analyzing neuro-response data and virtual reality environments. An example method includes analyzing neuro-response data gathered from an individual exposed to a virtual reality comprising a virtual reality setting and a marketing material. The example method also includes determining an effectiveness of one or more of the virtual reality setting or the marketing material based on the neuro-response data. In addition, the example method includes modifying one or more of the virtual reality setting or the marketing material based on the effectiveness.
Abstract:
Example methods, apparatus, systems and machine readable media are disclosed herein for selecting advertisement or entertainment location based on neuro-response data. An example method includes analyzing first neuro-response data from a first subject exposed to source material. The example method also includes identifying a candidate location in the source material for introduction of an advertisement or entertainment based on the first neuro-response data. In addition, the example method includes analyzing second neuro-response data from at least one of the first subject and a second subject exposed to a combination of the source material and the advertisement or entertainment inserted in the candidate location. The example also includes determining an effectiveness of the advertisement or entertainment based on the second neuro-response data.