Patents by Inventor Prajjwal Agarwal

Prajjwal Agarwal 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).

  • Publication number: 20220383389
    Abstract: System and methods for generating a product recommendation based on reactions such as bio-feedback of a subject during a virtual try-on session are described herein. A recommendation engine captures bio-feedback and determines whether the subject has a positive or negative attitude towards a certain feature of a product that is being virtually “tried on” with the subject. The recommendation engine can then provide a product recommendation based on the actual sentiment of the subject towards a product feature.
    Type: Application
    Filed: June 14, 2022
    Publication date: December 1, 2022
    Inventors: Chirag Soni, Prajjwal Agarwal, Ganga Vara Prasad Miriam, Madhusudhan Srinivasan, Ramesh Alagarsamy
  • Patent number: 11386474
    Abstract: System and methods for generating a product recommendation based on reactions such as bio-feedback of a subject during a virtual try-on session are described herein. A recommendation engine captures bio-feedback and determines whether the subject has a positive or negative attitude towards a certain feature of a product that is being virtually “tried on” with the subject. The recommendation engine can then provide a product recommendation based on the actual sentiment of the subject towards a product feature.
    Type: Grant
    Filed: October 9, 2018
    Date of Patent: July 12, 2022
    Assignee: ROVI GUIDES, INC.
    Inventors: Chirag Soni, Prajjwal Agarwal, Ganga Vara Prasad Miriam, Madhusudhan Srinivasan, Ramesh Alagarsamy
  • Publication number: 20200111148
    Abstract: System and methods for generating a product recommendation based on reactions such as bio-feedback of a subject during a virtual try-on session are described herein. A recommendation engine captures bio-feedback and determines whether the subject has a positive or negative attitude towards a certain feature of a product that is being virtually “tried on” with the subject. The recommendation engine can then provide a product recommendation based on the actual sentiment of the subject towards a product feature.
    Type: Application
    Filed: October 9, 2018
    Publication date: April 9, 2020
    Inventors: Chirag Soni, Prajjwal Agarwal, Ganga Vara Prasad Miriam, Madhusudhan Srinivasan, Ramesh Alagarsamy