Patents by Inventor Deb Kumar Roy

Deb Kumar Roy 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: 20150045608
    Abstract: An infant calming/sleep-aid/SIDS detection device is provided that includes a main moving platform that moves in a variable manner with accompanying variable sound generation, the sound and motion adapted to calm a fussy baby, induce sleep, and maintain sleep under normal conditions. The device may also have a sensor for detection of pauses in breathing and/or detection of resultant biological changes related to breathing pauses and respond with appropriate stimuli to arouse the baby and allow breathing to recommence.
    Type: Application
    Filed: July 31, 2014
    Publication date: February 12, 2015
    Inventors: Harvey Neil Karp, Matthew R. Berlin, Jesse V. Gray, Bill Walter Washabaugh, Deb Kumar Roy
  • Patent number: 8898698
    Abstract: Social media content items and references to events that occur therein are aligned with the time-based media events they describe. These mappings may be used as the basis for sending messages to populations of authors of content items, where the populations are determined based on whether the author has written a content item that refers to a specific TV show or advertisement. TV streams are monitored to detect when and where a specific advertisement for a particular advertiser is shown. Concurrently, social media streams are monitored for content items that refer to or are about specific TV shows and advertisements. Responsive to a specific advertisement being detected as being shown during a specific TV show, a message associated with the advertisement is sent to the authors of the content items associated with that TV show or advertisement. The messages can be transmitted while the advertisement is being shown.
    Type: Grant
    Filed: January 20, 2012
    Date of Patent: November 25, 2014
    Assignee: BlueFin Labs, Inc.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy
  • Publication number: 20140250592
    Abstract: An infant calming/sleep-aid device includes a main moving platform that moves in a reciprocating manner and an actuator that drives the reciprocating movement of the main moving platform. The moving head platform is linked to the main moving platform and at least one of a motion sensing device and a sound sensing device are either at or proximate to a moving head platform that is pivotally linked to the main moving platform. A logic circuit links at least one of the motion and sound sensing devices of the infant calming/sleep aid-device to the main moving platform whereby signals detected modulate movement of the main moving platform. A sound generating device is linked to the logic circuit.
    Type: Application
    Filed: October 19, 2012
    Publication date: September 11, 2014
    Inventors: Harvey Neil Karp, Matthew R. Berlin, Jesse V. Gray, Bill Walter Washabaugh, Deb Kumar Roy
  • Publication number: 20140052740
    Abstract: An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.
    Type: Application
    Filed: October 30, 2013
    Publication date: February 20, 2014
    Applicant: Bluefin Labs, Inc.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy, Jeremy Rishel, Anjali Midha, Matthew Miller
  • Publication number: 20130346330
    Abstract: Social media content items are mapped to relevant time-based media events. These mappings are used as the basis for calculating metrics based upon the mappings, and ratings of the time-based media there from. Audience response metrics (ARMs) are calculated from the mappings, which provide an indication of audience engagement or response. In addition, ARMs provide information about the virality, depth, and breadth of the response by the viewing audience. The calculated metrics are stored and are used to generate ratings for the time-based media. The ratings may be published in whole or in part, e.g., as part of a ratings system.
    Type: Application
    Filed: August 26, 2013
    Publication date: December 26, 2013
    Applicant: BLUEFIN LABS, INC.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy, Jeremy Rishel
  • Patent number: 8600984
    Abstract: An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.
    Type: Grant
    Filed: July 13, 2012
    Date of Patent: December 3, 2013
    Assignee: Bluefin Labs, Inc.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy, Jeremy Rishel, Anjali Midha, Matthew Miller
  • Patent number: 8543454
    Abstract: Social media content items are mapped to relevant time-based media events. These mappings are used as the basis for calculating metrics based upon the mappings, and ratings of the time-based media there from. Audience response metrics (ARMs) are calculated from the mappings, which provide an indication of audience engagement or response. In addition, ARMs provide information about the virality, depth, and breadth of the response by the viewing audience. The calculated metrics are stored and are used to generate ratings for the time-based media. The ratings may be published in whole or in part, e.g., as part of a ratings system.
    Type: Grant
    Filed: February 18, 2011
    Date of Patent: September 24, 2013
    Assignee: Bluefin Labs, Inc.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy, Jeremy Rishel
  • Patent number: 8516374
    Abstract: Social media content items are mapped to relevant time-based media events. These mappings may be used as the basis for multiple applications, such as ranking of search results for time-based media, automatic recommendations for time-based media, prediction of audience interest for media purchasing/planning, and estimating social interest in the time-based media. Social interest in time-based media (e.g., video and audio streams and recordings) segments is estimated through a process of data ingestion and integration. The estimation process determines social interest in specific events represented as segments in time-based media, such as particular plays in a sporting event, scenes in a television show, or advertisements in an advertising block. The resulting estimates of social interest also can be graphically displayed.
    Type: Grant
    Filed: July 16, 2010
    Date of Patent: August 20, 2013
    Assignee: Bluefin Labs, Inc.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy
  • Publication number: 20130086489
    Abstract: Social media content items are mapped to relevant time-based media events. These mappings may be used as the basis for multiple applications, such as ranking of search results for time-based media, automatic recommendations for time-based media, prediction of audience interest for media purchasing/planning, and estimating social interest in the time-based media. Social interest in time-based media (e.g., video and audio streams and recordings) segments is estimated through a process of data ingestion and integration. The estimation process determines social interest in specific events represented as segments in time-based media, such as particular plays in a sporting event, scenes in a television show, or advertisements in an advertising block. The resulting estimates of social interest also can be graphically displayed.
    Type: Application
    Filed: November 28, 2012
    Publication date: April 4, 2013
    Inventors: Michael Ben Fleischman, Deb Kumar Roy
  • Publication number: 20130018896
    Abstract: An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.
    Type: Application
    Filed: July 13, 2012
    Publication date: January 17, 2013
    Applicant: BLUEFIN LABS, INC.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy, Jeremy Rishel, Anjali Midha, Matthew Miller
  • Publication number: 20120215903
    Abstract: Social media content items are mapped to relevant time-based media events. These mappings are used as the basis for calculating metrics based upon the mappings, and ratings of the time-based media there from. Audience response metrics (ARMs) are calculated from the mappings, which provide an indication of audience engagement or response. In addition, ARMs provide information about the virality, depth, and breadth of the response by the viewing audience. The calculated metrics are stored and are used to generate ratings for the time-based media. The ratings may be published in whole or in part, e.g., as part of a ratings system.
    Type: Application
    Filed: February 18, 2011
    Publication date: August 23, 2012
    Applicant: Bluefin Lab, Inc.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy, Jeremy Rishel
  • Patent number: 8249870
    Abstract: A semi-automatic speech transcription system of the invention leverages the complementary capabilities of human and machine, building a system which combines automatic and manual approaches. With the invention, collected audio data is automatically distilled into speech segments, using signal processing and pattern recognition algorithms. The detected speech segments are presented to a human transcriber using a transcription tool with a streamlined transcription interface, requiring the transcriber to simply “listen and type”. This eliminates the need to manually navigate the audio, coupling the human effort to the amount of speech, rather than the amount of audio. Errors produced by the automatic system can be quickly identified by the human transcriber, which are used to improve the automatic system performance. The automatic system is tuned to maximize the human transcriber efficiency.
    Type: Grant
    Filed: November 12, 2008
    Date of Patent: August 21, 2012
    Assignee: Massachusetts Institute of Technology
    Inventors: Brandon Cain Roy, Deb Kumar Roy
  • Publication number: 20120192227
    Abstract: Social media content items and references to events that occur therein are aligned with the time-based media events they describe. These mappings may be used as the basis for sending messages to populations of authors of content items, where the populations are determined based on whether the author has written a content item that refers to a specific TV show or advertisement. TV streams are monitored to detect when and where a specific advertisement for a particular advertiser is shown. Concurrently, social media streams are monitored for content items that refer to or are about specific TV shows and advertisements. Responsive to a specific advertisement being detected as being shown during a specific TV show, a message associated with the advertisement is sent to the authors of the content items associated with that TV show or advertisement. The messages can be transmitted while the advertisement is being shown.
    Type: Application
    Filed: January 20, 2012
    Publication date: July 26, 2012
    Applicant: BLUEFIN LABS, INC.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy
  • Publication number: 20110041080
    Abstract: Social media content items are mapped to relevant time-based media events. These mappings may be used as the basis for multiple applications, such as ranking of search results for time-based media, automatic recommendations for time-based media, prediction of audience interest for media purchasing/planning, and estimating social interest in the time-based media. Social interest in time-based media (e.g., video and audio streams and recordings) segments is estimated through a process of data ingestion and integration. The estimation process determines social interest in specific events represented as segments in time-based media, such as particular plays in a sporting event, scenes in a television show, or advertisements in an advertising block. The resulting estimates of social interest also can be graphically displayed.
    Type: Application
    Filed: July 16, 2010
    Publication date: February 17, 2011
    Applicant: BLUEFIN LAB, INC.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy
  • Publication number: 20110040760
    Abstract: Social media content items are mapped to relevant time-based media events. These mappings may be used as the basis for multiple applications, such as ranking of search results for time-based media, automatic recommendations for time-based media, prediction of audience interest for media purchasing/planning, and estimating social interest in the time-based media. Social interest in time-based media (e.g., video and audio streams and recordings) segments is estimated through a process of data ingestion and integration. The estimation process determines social interest in specific events represented as segments in time-based media, such as particular plays in a sporting event, scenes in a television show, or advertisements in an advertising block. The resulting estimates of social interest also can be graphically displayed.
    Type: Application
    Filed: July 16, 2010
    Publication date: February 17, 2011
    Applicant: BLUEFIN LAB, INC.
    Inventors: Michael Ben Fleischman, Deb Kumar Roy
  • Publication number: 20100121637
    Abstract: A semi-automatic speech transcription system of the invention leverages the complementary capabilities of human and machine, building a system which combines automatic and manual approaches. With the invention, collected audio data is automatically distilled into speech segments, using signal processing and pattern recognition algorithms. The detected speech segments are presented to a human transcriber using a transcription tool with a streamlined transcription interface, requiring the transcriber to simply “listen and type”. This eliminates the need to manually navigate the audio, coupling the human effort to the amount of speech, rather than the amount of audio. Errors produced by the automatic system can be quickly identified by the human transcriber, which are used to improve the automatic system performance. The automatic system is tuned to maximize the human transcriber efficiency.
    Type: Application
    Filed: November 12, 2008
    Publication date: May 13, 2010
    Applicant: Massachusetts Institute of Technology
    Inventors: Brandon Cain Roy, Deb Kumar Roy