The Nielsen Comapny (us), LLC

Nielsen Consumer LLC

A K Pradeep

Robert T Knight

Ramachandran Gurumoorthy

Yakob Badower

Ram Gurumoorthy

Example devices are disclosed herein that include a first elongated band coupled to a first housing to be located on a first side of a head of a subject and a second housing to be located near a second side of the head of the subject, the first elongated band comprising a first set of electrodes. The example device also includes a second elongated band coupled to the first housing and to the second housing, the second elongated band comprising a second set of electrodes. In addition, the device includes a third elongated band coupled to the first housing and to the second housing, the third elongated band comprising a third set of electrodes.

Systems and methods to gather and analyze electroencephalographic data

An example system includes an analyzer to identify a degree of amplitude synchrony between a first pattern in a first frequency band in first neuro-response data and a second pattern in a second frequency band in the first neuro-response data, the first neuro-response data gathered via a first modality of collection from a subject while the subject is exposed to media, and modify the degree of amplitude synchrony in response to activity in second neuro-response data, the second neuro-response data gathered via a second modality of collection from the subject while the subject is exposed to the media, the activity corresponding in time to at least a portion of the first pattern or the second pattern. The example system includes an estimator to determine an effectiveness of the media based on the modified degree of amplitude synchrony.

Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous system, and effector data

An example system to identify an advertisement to include in source material to increase an effectiveness of the advertisement includes an analyzer to determine one or more priming characteristics for a plurality of locations of a source material based on neuro-response data collected from a first subject exposed to the source material and a selector to identify an attribute of the advertisement, identify at least one of a temporal attribute or a spatial attribute for the plurality of locations, perform a comparison of the attribute of the advertisement to the at least one of the temporal attribute or the spatial attribute for the plurality of locations, select a first location of the plurality of locations for insertion of the advertisement based on the comparison and the priming characteristics, and transform the source material to include the advertisement at the first location.

Content based selection and meta tagging of advertisement breaks

An example system disclosed herein includes an analyzer to analyze first neuro-response data and second neuro-response data and a selector to identify a candidate location in source material for introduction of an advertisement or entertainment based on first neuro-response data and second neuro-response data. The analyzer is to detect a first pattern of oscillation in a first frequency band of third neuro-response data; detect a second pattern of oscillation in a second frequency band of the third neuro-response data; determine a degree of phase synchrony or amplitude synchrony based on the first pattern of oscillation and the second pattern of oscillation; and determine an effectiveness of the advertisement or entertainment based on the degree of phase synchrony or amplitude synchrony.

Stimulus placement system using subject neuro-response measurements

Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous sytem, and effector data

An example system includes an analyzer to determine a first distance between (1) a first peak in a first frequency band of first neuro-response data gathered from a subject while exposed to media and (2) a second peak in the first frequency band; determine a second distance between (1) a third peak in the first frequency band and either (2) the second peak in the first frequency band or (3) a fourth peak in the first frequency band and determine a first difference between the first distance and the second distance. The example system includes a selector to determine a modification for the media based on the first difference and a modifier to implement the modification for presentation of the media.

Neuro-physiology and neuro-behavioral based stimulus targeting system

Example methods are disclosed herein that include obtaining electroencephalographic (EEG) data from a subject via a device comprising two or more independently adjustable bands, each of the bands having a plurality of electrodes to detect the electroencephalographic data from a brain of the subject, each band selectively rotatable relative to an adjacent band and each band selectively compressible to increase a force of the electrodes against a head of the subject. The example method also includes converting the EEG data into digital EEG signals and conditioning the digital EEG signals. In addition, the example method includes analyzing the digital EEG signals using one or more analysis protocols to determine a mental characteristic of the subject and transmitting the mental characteristic to an output device.

Example apparatus, systems, machine readable media, and methods are disclosed herein for transforming neuro-response data collected using a first modality and a second modality into a measure of effectiveness of an advertisement or entertainment. An example system includes an analyzer to analyze first neuro-response data gathered from a subject while exposed to an advertisement or entertainment using the first modality, the first neuro-response data including electroencephalographic data including a first frequency band and a second frequency band. The example system also includes a processor to identify a degree of phase synchrony between a first pattern of oscillation in the first frequency band and a second pattern of oscillation in the second frequency band. The processor also is to synthesize the first neuro-response data with second neuro-response data gathered from the subject while exposed to the advertisement or entertainment using the second modality by: recognizing a signature in the electroencephalographic data corresponding to an activity of the second neuro-response data; and adjusting the degree of phase synchrony based on the signature. The example system also includes an estimator to determine an effectiveness of the advertisement or entertainment based on the adjusted degree of phase synchrony.

Example methods are described herein that include obtaining electroencephalographic data from an example device worn by a subject. The device includes a central body portion and a plurality of extensions extending from the central body portion. Respective ones of the extension have ends carrying an electrode. The example device includes an adjustment band disposed along a longitudinal axis of the central body portion to adjust a position of the extensions. The example method also includes analyzing the data to determine a mental state of the subject.

Growing community of inventors

Berkeley, CA, United States of America

A K Pradeep