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US 8,386,312 B2Granted
Neuro-informatics repository system
AssigneeThe Nielsen Company (US), LLC
InventorsAnantha Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
Life of this patent
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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.
Claims26
A method, comprising:
- analyzing, with a processor, electroencephalography data from a first panelist exposed to a first advertisement or entertainment to determine first effectiveness data for the first advertisement or entertainment, the first effectiveness data being determined based on a degree of asymmetry between a first frequency band of electroencephalography data measured in a first hemisphere of a brain of the first panelist and a second frequency band of the electroencephalography data measured in a second hemisphere of the brain, the degree of asymmetry identified by:
- detecting a first amplitude of the first frequency band;
- detecting a second amplitude of the second frequency band;
- and
- comparing the first amplitude and the second amplitude to determine a difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band;
- assigning the degree of asymmetry to the relationship between the first frequency band and the second frequency band based on the difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band;
- generating, with the processor, a data model based on the first effectiveness data, a first emotional engagement based on the asymmetry, a first attribute of the first panelist, and a second attribute of the first advertisement or entertainment;
- identifying a third attribute of a second panelist and a fourth attribute of a second advertisement or entertainment corresponding to the first attribute of the first panelist and the second attribute of the first advertisement or entertainment, respectively;
- and
- predicting, with the data model, second effectiveness data related to the second panelist and the second advertisement or entertainment.
7 more elements
A system, comprising:
- a data analyzer comprising a processor configured to:
- analyze electroencephalography data from a first panelist exposed to a first advertisement or entertainment to determine first effectiveness data for the first advertisement or entertainment, the first effectiveness data being determined based on a degree of asymmetry between a first frequency band of electroencephalography data measured in a first hemisphere of a brain of the panelist and a second frequency band of the electroencephalography data measured in a second hemisphere of the brain, the degree of asymmetry identified by:
- detecting a first amplitude of the first frequency band;
- detecting a second amplitude of the second frequency band;
- and
- comparing the first amplitude and the second amplitude to determine a difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band;
- and
- assign the degree of asymmetry to the relationship between the first frequency band and the second frequency band based on the difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band;
- and
- a generator to generate a data model based on the first effectiveness data, a first emotional engagement based on the degree of asymmetry, a first attribute of the first panelist, and a second attribute of the first advertisement or entertainment,
- the data analyzer to identify a third attribute of a second panelist and a fourth attribute of a second advertisement or entertainment corresponding to the first attribute of the first panelist and the second attribute of the first advertisement or entertainment, respectively, and the data analyzer to predict, with the data model, second effectiveness data related to the second panelist and the second advertisement or entertainment.
8 more elements
A tangible machine readable storage device or disc comprising machine readable instructions thereon which, when read, cause a machine to at least:
- analyze electroencephalography data from a first panelist exposed to a first advertisement or entertainment to determine first effectiveness data for the first advertisement or entertainment, the first effectiveness data being determined based on a degree of asymmetry between a first frequency band of electroencephalography data measured in a first hemisphere of a brain of the panelist and a second frequency band of the electroencephalography data measured in a second hemisphere of the brain, the degree of asymmetry identified by:
- detecting a first amplitude of the first frequency band;
- detecting a second amplitude of the second frequency band;
- and
- comparing the first amplitude and the second amplitude to determine a difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band;
- assign an asymmetry value to the relationship between the first frequency band and the second frequency band based on the difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band;
- generate a data model based on the first effectiveness data, the asymmetry value, a first attribute of the first panelist, and a second attribute of the first advertisement or entertainment;
- identify a third attribute of a second panelist and a fourth attribute of a second advertisement or entertainment corresponding to the first attribute of the first panelist and the second attribute of the first advertisement or entertainment, respectively;
- and
- predict, with the data model, second effectiveness data related to the second panelist and the second advertisement or entertainment.
7 more elements
Dependencies are inferred from the claim text.