Evan Anton Kodra

20130189661, Jul 25, 2013

Mar 12, 2013

13/794948

Avril England - Pleasanton CA, US
Evan Kodra - Cambridge MA, US
Rosalind Wright Picard - Newtonville MA, US

AFFECTIVA, INC. - Waltham MA

G09B 19/00

434236

As an individual or a group of individuals view various types of humor, a webcam, using video capture, collects mental state data from the individual or individuals. The webcam data is analyzed to determine physiological data, facial data, and actigraphy data. Further, the direct collection of physiological data—electrodermal activity, heart rate, heart rate variation, skin temperature, and respiration—from an individual or individuals complements the webcam data. Analysis of this mental state data allows for the accurate comprehension of individual humor preferences and allows the individual's humor preferences to be used by the system to recommend humorous material based on these preferences.

20130238394, Sep 12, 2013

Apr 20, 2013

13/867049

Evan Kodra - Cambridge MA, US
Rosalind Wright Picard - Newtonville MA, US

Affectiva, Inc. - Waltham MA

G06Q 30/02

705 731, 705 1441, 705 1445

Analysis of mental states is performed in order to project sales. Projections may be based on effectiveness of an advertisement, a product, or a service. Effectiveness may be based on various objectives including entertainment, education, awareness, persuasion, startling, and drive to action. Data, including facial information and physiological information, is captured for an individual viewer or group of viewers. In some embodiments, demographics information is also collected and used as a criterion for rendering the mental states of the viewers in a graphical format. In some embodiments, data captured from an individual viewer or group of viewers is used to optimize sales projections.

20140051047, Feb 20, 2014

Oct 26, 2013

14/064136

Rana el Kaliouby - Boston MA, US
Evan Kodra - Waltham MA, US
Oliver Ernst Nowak - Medford MA, US
Richard Scott Sadowsky - Sturbridge MA, US

Affectiva, Inc. - Waltham MA

A61B 5/16
A61B 5/00
A61B 5/053

434238, 600547

A user may react to an interaction by exhibiting a mental state. A camera or other monitoring device can be used to capture one or more manifestations of the user's mental state, such as facial expressions, electrodermal activity, or movements. However, there may be conditions where the monitoring device is not able to detect the manifestation continually. Thus, various capabilities and implementations are described where the mental state data is collected on an intermittent basis, analyzed, and an output rendered based on the analysis of the mental state data.

20140058828, Feb 27, 2014

Oct 31, 2013

14/068919

Melissa Sue Burke - Boston MA, US
Andrew Edwin Dreisch - San Jose CA, US
Panu James Turcot - San Francisco CA, US
Evan Kodra - Waltham MA, US

Affectiva, Inc. - Watham MA

G06Q 30/02

705 1443

Mental state data is collected from a group of people as they view a media presentation, such as an advertisement, a television show, or a movie. The mental state data is analyzed to produce mental state information, such as inferred mental states, facial expressions, or valence. The mental state information is used to automatically optimize the previously viewed media presentation. The optimization may change various aspects of the media presentation including the length of different portions of the media presentation, the overall length of the media presentation, character selection, music selection, advertisement placement, and brand reveal time.

20130115582, May 9, 2013

Dec 27, 2012

13/728303

Andrew Edwin Dreisch - San Jose CA, US
Avril England - Pleasanton CA, US
Evan Kodra - Waltham MA, US

AFFECTIVA, INC. - Waltham MA

G09B 19/00

434237

Analysis of mental states pertaining to concept testing is described. Concepts may be evaluated by seeing a product, seeing a service, seeing a model, viewing an advertisement, and the like. Data which includes facial information is captured for viewers of a concept. Facial and physiological information is gathered for a group of viewers. Demographic information is collected and used as a criterion for evaluating the concept. Data captured from an individual viewer or group of viewers is used to optimize a concept.

20200314490, Oct 1, 2020

Jun 12, 2020

16/900026

- Boston MA, US
Melissa Sue Burke - Boston MA, US
Andrew Edwin Dreisch - San Jose CA, US
Graham John Page - Banbury, GB
Panu James Turcot - Pacifica CA, US
Evan Kodra - Waltham MA, US

Affectiva, Inc. - Boston MA

H04N 21/442
G06K 9/00
H04N 21/25
H04N 21/262
H04N 21/258

Data on a user interacting with a media presentation is collected at a client device. The data includes facial image data of the user. The facial image data is analyzed to extract cognitive state content of the user. One or more emotional intensity metrics are generated. The metrics are based on the cognitive state content. The media presentation is manipulated, based on the emotional intensity metrics and the cognitive state content. An engagement score for the media presentation is provided. The engagement score is based on the emotional intensity metric. A facial expression metric and a cognitive state metric are generated for the user. The manipulating includes optimization of the previously viewed media presentation. The optimization changes various aspects of the media presentation, including the length of different portions of the media presentation, the overall length of the media presentation, character selection, music selection, advertisement placement, and brand reveal time.

20190312771, Oct 10, 2019

Jun 7, 2019

16/434443

- Boston MA, US
Devashish KUMAR - Boston MA, US
Evan KODRA - Cambridge MA, US
Auroop R. GANGULY - Medford MA, US

H04L 12/24

A method and system for providing a recovery sequence for a network from a state of disruption to a state of partial or complete functionality are provided. The method and system can measure the response of a network to one or multiple hazards and can generate and compare the effectiveness of multiple recovery strategies in a quantitative and generalizable manner, providing a user with practical tools to implement an efficient restoration of the network.

20160379505, Dec 29, 2016

Sep 12, 2016

15/262197

- Waltham MA, US
Evan Kodra - Waltham MA, US
Daniel McDuff - Cambridge MA, US
Thomas James Vandal - Dracut MA, US

G09B 5/02
A61B 5/00
G09B 5/12
A61B 5/16

Mental state event signatures are used to assess how members of a specific social group react to various stimuli such as video advertisements. The likelihood that a video will go viral is computed based on mental state event signatures. Automated facial expression analysis is utilized to determine an emotional response curve for viewers of a video. The emotional response curve is used to derive a virality probability index for the video. The virality probability index is an indicator of the propensity to go viral for a given video. The emotional response curves are processed according to various demographic criteria in order to account for cultural differences amongst various demographic groups and geographic regions.