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01/29/09 - USPTO Class 705 |  1 views | #20090030717 | Prev - Next | About this Page  705 rss/xml feed  monitor keywords

Intra-modality synthesis of central nervous system, autonomic nervous system, and effector data

USPTO Application #: 20090030717
Title: Intra-modality synthesis of central nervous system, autonomic nervous system, and effector data
Abstract: An intra-modality response synthesizer analyzes and enhances central nervous system, autonomic nervous system, and effector data to evaluate subject response to stimuli. A data collection mechanism obtains response data from a subject exposed to stimuli, such as marketing and entertainment stimuli. The intra-modality response synthesizer analyzes and synthesizes a plurality of modality specific response measures from central nervous system, autonomic nervous system, and effector systems. For example, the intra-modality response synthesizer analyzes response data including neurophysiological data to evaluate the effectiveness of stimuli by analyzing interactions between multiple regions of the brain. (end of abstract)



Agent: Weaver Austin Villeneuve & Sampson LLP - Oakland, CA, US
Inventors: Anantha Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
USPTO Applicaton #: 20090030717 - Class: 705 1 (USPTO)

Intra-modality synthesis of central nervous system, autonomic nervous system, and effector data description/claims


The Patent Description & Claims data below is from USPTO Patent Application 20090030717, Intra-modality synthesis of central nervous system, autonomic nervous system, and effector data.

Brief Patent Description - Full Patent Description - Patent Application Claims
  monitor keywords CROSS REFERENCE TO RELATED APPLICATIONS

This application claims priority to Provisional Patent Application 60/908,742 (Docket No. 2007NF1) titled Advertising, Marketing, And Brand Effectiveness Analyzer Utilizing Central Nervous System, Autonomous Nervous System, And Effector System Measurements by Anantha Pradeep, Robert T. Knight, and Ramachandran Gurumoorthy, and filed on Mar. 27, 2007

TECHNICAL FIELD

The present disclosure relates to analyzing and enhancing central nervous system, autonomic nervous system, and effector data using intra-modality synthesis.

DESCRIPTION OF RELATED ART

Conventional systems for presenting stimuli and measuring the effectiveness of entertainment and marketing including advertising, brand messages, and product placement rely on either survey based evaluations or limited neurophysiological measurements used in isolation. These conventional systems provide some useful data but are highly inefficient and inaccurate due to a variety of semantic, syntactic, metaphorical, cultural, social, and interpretative errors and biases. The systems and techniques themselves used to obtain neurophysiological measurements are also highly limited.

Consequently, it is desirable to provide improved methods and apparatus for protocol generation and presentation of stimuli to allow measurement and analysis of neurological and neurophysiological data.

BRIEF DESCRIPTION OF THE DRAWINGS

The disclosure may best be understood by reference to the following description taken in conjunction with the accompanying drawings, which illustrate particular example embodiments.

FIG. 1 illustrates one example of a system for determining the effectiveness of marketing and entertainment by using central nervous system, autonomic nervous system, and effector measures.

FIG. 2 illustrates a particular example of a system having an intelligent protocol generator and presenter device and individual mechanisms for intra-modality response synthesis.

FIG. 3 illustrates a particular example of an intra-modality synthesis mechanism for Electroencephalography (EEG).

FIG. 4 illustrates another particular example of synthesis for Electroencephalography (EEG).

FIG. 5 illustrates a particular example of a cross-modality synthesis mechanism.

FIG. 6 is one example of a sample flow process diagram showing a technique for obtaining neurological and neurophysiological data.

FIG. 7 provides one example of a system that can be used to implement one or more mechanisms.



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