Patents by Inventor Prasanth MURALI

Prasanth MURALI 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: 20250118109
    Abstract: The present disclosure relate to highlighting audience members with reactions to a presenter of an online meeting. Unlike physical, fact-to-face meeting that enables spontaneous interactions among the presenter and the audiences that are collocated with the presenter, presenting materials during an online meeting raises an issue of the present not being able to see real-time reactions or feedback by the audience members. The present disclosure addresses the issue by dynamically determining one or more audience members who indicate reactions during the online meeting or presentation and displaying faces of the one or more audience members under spotlight to the presenter. The presenter sees faces of the audience members with reactions during the online presentation and responds to the audience members and keep the audience engaged. The spotlight audience server analyzes video frames and determines types of reactions of the audience members.
    Type: Application
    Filed: December 16, 2024
    Publication date: April 10, 2025
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Javier HERNANDEZ RIVERA, Daniel J. MCDUFF, Jin A. SUH, Kael R. ROWAN, Mary P. CZERWINSKI, Prasanth MURALI, Mohammad AKRAM
  • Patent number: 12211317
    Abstract: The present disclosure relate to highlighting audience members with reactions to a presenter of an online meeting. Unlike physical, fact-to-face meeting that enables spontaneous interactions among the presenter and the audiences that are collocated with the presenter, presenting materials during an online meeting raises an issue of the present not being able to see real-time reactions or feedback by the audience members. The present disclosure addresses the issue by dynamically determining one or more audience members who indicate reactions during the online meeting or presentation and displaying faces of the one or more audience members under spotlight to the presenter. The presenter sees faces of the audience members with reactions during the online presentation and responds to the audience members and keep the audience engaged. The spotlight audience server analyzes video frames and determines types of reactions of the audience members.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: January 28, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Javier Hernandez Rivera, Daniel J. McDuff, Jin A. Suh, Kael R. Rowan, Mary P. Czerwinski, Prasanth Murali, Mohammad Akram
  • Publication number: 20220358308
    Abstract: The present disclosure relate to highlighting audience members with reactions to a presenter of an online meeting. Unlike physical, fact-to-face meeting that enables spontaneous interactions among the presenter and the audiences that are collocated with the presenter, presenting materials during an online meeting raises an issue of the present not being able to see real-time reactions or feedback by the audience members. The present disclosure addresses the issue by dynamically determining one or more audience members who indicate reactions during the online meeting or presentation and displaying faces of the one or more audience members under spotlight to the presenter. The presenter sees faces of the audience members with reactions during the online presentation and responds to the audience members and keep the audience engaged. The spotlight audience server analyzes video frames and determines types of reactions of the audience members.
    Type: Application
    Filed: June 24, 2021
    Publication date: November 10, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Javier HERNANDEZ RIVERA, Daniel J. MCDUFF, Jin A. SUH, Kael R. ROWAN, Mary P. CZERWINSKI, Prasanth MURALI, Mohammad AKRAM