Patents by Inventor May Amr Fouad

May Amr Fouad has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11393133
    Abstract: A machine learning system is accessed. The machine learning system is used to translate content into a representative icon. The machine learning system is used to manipulate emoji. The machine learning system is used to process an image of an individual. The machine learning processing includes identifying a face of the individual. The machine learning processing includes classifying the face to determine facial content using a plurality of image classifiers. The classifying includes generating confidence values for a plurality of action units for the face. The facial content is translated into a representative icon. The translating the facial content includes summing the confidence values for the plurality of action units. The representative icon comprises an emoji. A set of emoji can be imported. The representative icon is selected from the set of emoji. The emoji selection is based on emotion content analysis of the face.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: July 19, 2022
    Assignee: Affectiva, Inc.
    Inventors: Rana el Kaliouby, May Amr Fouad, Abdelrahman N. Mahmoud, Seyedmohammad Mavadati, Daniel McDuff
  • Publication number: 20200219295
    Abstract: A machine learning system is accessed. The machine learning system is used to translate content into a representative icon. The machine learning system is used to manipulate emoji. The machine learning system is used to process an image of an individual. The machine learning processing includes identifying a face of the individual. The machine learning processing includes classifying the face to determine facial content using a plurality of image classifiers. The classifying includes generating confidence values for a plurality of action units for the face. The facial content is translated into a representative icon. The translating the facial content includes summing the confidence values for the plurality of action units. The representative icon comprises an emoji. A set of emoji can be imported. The representative icon is selected from the set of emoji. The emoji selection is based on emotion content analysis of the face.
    Type: Application
    Filed: March 19, 2020
    Publication date: July 9, 2020
    Applicant: Affectiva, Inc.
    Inventors: Rana el Kaliouby, May Amr Fouad, Abdelrahman N. Mahmoud, Seyedmohammad Mavadati, Daniel McDuff
  • Publication number: 20170098122
    Abstract: Image content is analyzed in order to present an associated representation expression. Images of one or more individuals are obtained and the processors are used to identify the faces of the one or more individuals in the images. Facial features are extracted from the identified faces and facial landmark detection is performed. Classifiers are used to map the facial landmarks to various emotional content. The identified facial landmarks are translated into a representative icon, where the translation is based on classifiers. A set of emoji can be imported and the representative icon is selected from the set of emoji. The emoji selection is based on emotion content analysis of the face. The selected emoji can be static, animated, or cartoon representations of emotion. The individuals can share the selected emoji through insertion into email, texts, and social sharing websites.
    Type: Application
    Filed: December 9, 2016
    Publication date: April 6, 2017
    Applicant: Affectiva, Inc.
    Inventors: Rana el Kaliouby, May Amr Fouad, Abdelrahman Mahmoud, Seyedmohammad Mavadati, Daniel McDuff