Affectiva, Inc.

Reva Systems Corporation

Chilton Lyons Cabot

Rana El Kaliouby

David J Husak

Jeffrey H Fischer

Michael Jason Grady

Pattabhiraman Krishna

Scott Barvick

Jason Krupat

Jason Radice

Gabriele Zijderveld

Forest Jay Handford

Maha Amr Mohamed Fouad

Robert A Stephenson

Robert A Stephensen

Lin Zhou

Nirav R Shah

Image-based analysis techniques are used for cognitive state vehicle navigation, including an autonomous or a semi-autonomous vehicle. Images including facial data of a vehicle occupant are obtained using an in-vehicle imaging device. The vehicle occupant can be an operator of or a passenger within the vehicle. A first computing device is used to analyze the images to determine occupant cognitive state data. The analysis can occur at various times along a vehicle travel route. The cognitive state data is mapped to location data along the vehicle travel route. Information about the vehicle travel route is updated based on the cognitive state data. The updated information is provided for vehicle control. The updated information is rendered on a second computing device. The updated information includes road ratings for segments of the vehicle travel route. The updated information includes an emotion metric for vehicle travel route segments.

Cognitive state vehicle navigation based on image processing

Techniques are described for image analysis and representation for emotional metric threshold generation. A client device is used to collect image data of a user interacting with a media presentation, where the image data includes facial images of the user. One or more processors are used to analyze the image data to extract emotional content of the facial images. One or more emotional intensity metrics are determined based on the emotional content. The one or more emotional intensity metrics are stored into a digital storage component. The one or more emotional intensity metrics, obtained from the digital storage component, are coalesced into a summary emotional intensity metric. The summary emotional intensity metric is represented.

Image analysis for emotional metric evaluation

Image analysis is performed for a two-sided data hub. Data reception on a first computing device is enabled by an individual and a content provider. Cognitive state data including facial data on the individual is collected on a second computing device. The cognitive state data is analyzed on a third computing device and the analysis is provided to the individual. The cognitive state data is evaluated and the evaluation is provided to the content provider. A mood dashboard is displayed to the individual based on the analyzing. The individual opts in to enable data reception for the individual. The content provider provides content via a website.

Image analysis for two-sided data hub

An architecture of an RFID system that facilitates the accessing of RFID tag data within an RFID environment. The architecture includes a plurality of RFID readers, each reader being operative to transmit a first RF signal for scanning at least one RFID tag disposed within an RF coverage region associated with the reader, and to receive at least one second RF signal including tag data in response to the scanning of the tag. The architecture further includes at least one host computer operative to execute at least one client application, and at least one controller/processor communicably coupled to the plurality of readers and the at least one host computer. The controller/processor is operative to control operation of the plurality of readers, to process the tag data received by the plurality of readers, and to provide the processed tag data to the at least one host computer for use by the at least one client application executing thereon.

RFID tag data acquisition system

A system and method that facilitates the configuration and control of components of an RFID system, taking into account how the RFID system components are associated with one or more physical locations within an environment in which the RFID system is deployed. A user provides information specifying associations between the system components and the physical locations within the environment to obtain visual representations of configuration data generated therefrom with reference to a facility view, an RF coverage view, and a location view of the data. The facility view serves as a reference plane for placement and orientation of antennas associated with RFID readers, location benchmark tags, and the physical locations of interest. After each antenna is placed and oriented on the facility view, an estimate of the size and shape of the RF interrogation zone of each antenna is computed, and representations of the RF interrogation zones are provided on the facility view to obtain the RF coverage view of the data. Next, the user provides information specifying the physical locations of interest to obtain the location view of the data. A composite of the facility view, the coverage view, and the location view is then generated to obtain an enhanced visual understanding of how the system components and the physical locations exist within the system environment, and how the components and locations are associated with one another.

Configuration management system and method for use in an RFID system including a multiplicity of RFID readers

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Dedham, MA, United States of America

Chilton Lyons Cabot