Shopper Behavior

Available For Purchase

at Fall 2016 Auction Catalog

Available For Purchase at Fall 2016 Auction Catalog
ID Lot 010
Seller VideoMining Corporation
Sector Face-Recognition; Biometrics; Retail
US Patents 8,219,438 9,161,084
Applications 12/001,611

Lot Summary

With a 2007 priority date, the disclosed portfolio describes an apparatus, systems, and methods to understand and measure shopper composition, behavior, and attitudes in retail environments, primarily to gauge shoppers’ response to various stimuli or elements—e.g., marketing, products, pricing, etc.—to optimize their marketing and merchandising strategies, including:

Abstract (US 8,219,438)
The present invention is a method and system for measuring human response to retail elements, based on the shopper's facial expressions and behaviors. From a facial image sequence, the facial geometry—facial pose and facial feature positions—is estimated to facilitate the recognition of facial expressions, gaze, and demographic categories. The recognized facial expression is translated into an affective state of the shopper and the gaze is translated into the target and the level of interest of the shopper. The body image sequence is processed to identify the shopper's interaction with a given retail element—such as a product, a brand, or a category. The dynamic changes of the affective state and the interest toward the retail element measured from facial image sequence is analyzed in the context of the recognized shopper's interaction with the retail element and the demographic categories, to estimate both the shopper's changes in attitude toward the retail element and the end response—such as a purchase decision or a product rating.

Abstract (US 9,161,084)
The present invention provides a comprehensive method to design an automatic media audience measurement system that can estimate the site-wide audience of a media of interest (e.g., the site-wide viewership of a target display) based on the measurements of a subset of the actual audience sampled from a limited space in the site. This invention enables (1) the placement of sensors in optimal positions for the viewership data measurement and (2) the estimation of the site-wide viewership of the target display by performing the viewership extrapolation based on the sampled viewership data. The viewership extrapolation problem is formulated in a way that the time-varying crowd dynamics around the target display is an important decisive factor as well as the sampled viewership data at a given time in yielding the estimated site-wide viewership. To solve this problem, the system elements that affect the viewership—site, display, crowd, and audience—and their relationships are first identified in terms of the visibility, the viewership relevancy, and the crowd occupancy. The optimal positions of the sensors are determined to cover the maximum area of the viewership with high probabilities. The viewership extrapolation function is then modeled and learned from the sampled viewership data, the site-wide viewership data, and the crowd dynamics measurements while removing the noise in the sampled viewership data using the viewership relevancy of the measurements to the target display.

Sample Forward Citation Analysis:
Fuji Xerox
General Electric
Massachusetts Institute of Technology
NEC Corporation

Due Diligence

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