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

a technology of central nervous system and effector data, applied in the field of intramodality synthesis of central nervous system, autonomic nervous system, effector data, can solve the problems of high inefficiency and inaccurate, and the system and technique used to obtain neurophysiological measurements are also highly limited

Inactive Publication Date: 2009-01-29
THE NIELSEN CO (US) LLC
View PDF99 Cites 140 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intra-modality synthesis of central nervous system, autonomic nervous system, and effector data
  • Intra-modality synthesis of central nervous system, autonomic nervous system, and effector data
  • Intra-modality synthesis of central nervous system, autonomic nervous system, and effector data

Examples

Experimental program
Comparison scheme
Effect test

example embodiments

[0018]Conventional mechanisms for obtaining information about the effectiveness of various types of stimuli such as marketing and entertainment materials have generally relied on focus groups and surveys. Subjects are provided with oral and written mechanisms for conveying their thoughts and feelings elicited in response to a particular advertisement, brand, media clip, etc. These oral and written mechanisms provide some limited information on the effectiveness of the marketing and entertainment materials, but have a variety of limitations. For example, subjects may be unable or unwilling to express their true thoughts and feelings about a topic, or questions may be phrased with built in bias. Articulate subjects may be given more weight than nonexpressive ones. A variety of semantic, syntactic, metaphorical, cultural, social and interpretive biases and errors prevent accurate and repeatable evaluation.

[0019]Some efforts have been made to use isolated neurological and neurophysiolog...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]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, 2007TECHNICAL FIELD[0002]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[0003]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 semanti...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(United States)
IPC IPC(8): G06Q99/00A61B5/0476
CPCG06Q30/02G06Q30/0242G06Q30/00G06Q30/0201G06F17/40
Inventor PRADEEP, ANANTHAKNIGHT, ROBERT T.GURUMOORTHY, RAMACHANDRAN
Owner THE NIELSEN CO (US) LLC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products