Patents by Inventor Narayan Biswal

Narayan Biswal 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: 20190147175
    Abstract: Technology for a device operable for secured user access is described. The technology can comprise one or more processors. The device can be configured to identify an intruder indicator, wherein the intruder indicator can indicate that an intruder has been detected in a proximity of either the local device or a remote device in communication with the local device. The device can be configured to activate one or more privacy filters at the local device. The device can be configured to encode data based on the one or more privacy filters.
    Type: Application
    Filed: January 8, 2019
    Publication date: May 16, 2019
    Applicant: Intel Corporation
    Inventors: Mayuresh Varerkar, Barnan Das, Archie Sharma, Gokcen Cilingir, Narayan Biswal, Melanie Daniels
  • Patent number: 10251011
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: April 2, 2019
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Travis T. Schluessler, Prasoonkumar Surti, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, James M. Holland, Jeffery S. Boles, Jonathan Kennedy, Louis Feng, Atsuo Kuwahara, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20190095703
    Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
    Type: Application
    Filed: September 6, 2018
    Publication date: March 28, 2019
    Applicant: Intel Corporation
    Inventors: Barnan Das, Mayuresh M. Varerkar, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Patent number: 10242486
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: March 26, 2019
    Assignee: Intel Corporation
    Inventors: Chandrasekaran Sakthivel, Michael Apodaca, Kai Xiao, Altug Koker, Jeffery S. Boles, Adam T. Lake, Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, James M. Holland, Prasoonkumar Surti, Jonathan Kennedy, Louis Feng, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20190043525
    Abstract: A system, apparatus, method, and computer readable medium for using an audio trigger for surveillance in a security system. The method including receiving an audio input stream via a microphone. Dividing the audio input stream into audio segments. Filtering high energy audio segments from the audio segments. If a high energy audio segment includes speech, then determining if the speech is recognized as the speech of users of the system. If the high energy audio segment does not include the speech, then classifying the high energy audio segment as an interesting sound or an uninteresting sound. Determining whether to turn video on based on classification of the high energy audio segment as the interesting sound, speech recognition of the speech as the speech of the users of the system, and contextual data.
    Type: Application
    Filed: January 12, 2018
    Publication date: February 7, 2019
    Inventors: Jonathan Huang, Willem Beltman, Vered Bar Bracha, Ze'ev Rivlin, Douglas Gabel, Sylvia Downing, Narayan Biswal, Binuraj Ravindran
  • Publication number: 20190035404
    Abstract: A system, method, apparatus and computer readable medium for hierarchical speech recognition resolution. The method of hierarchical speech recognition resolution on a platform includes receiving a speech stream from a microphone. The speech stream is resolved using a lowest possible level automatic speech recognition (ASR) engine of multi-level ASR engines. The selection of the lowest possible level ASR engine is based on policies defined for the platform. If resolution of the speech stream is rated less than a predetermined confidence level, the resolution of the speech stream is pushed to a next higher-level ASR engine of the multi-level ASR engines until the resolution of the speech stream meets the predetermined confidence level without violating one or more policies.
    Type: Application
    Filed: December 29, 2017
    Publication date: January 31, 2019
    Inventors: Douglas Gabel, Jonathan Huang, Sylvia J. Downing, Narayan Biswal, Binuraj Ravindran, Willem Beltman, Vered Bar Bracha, Ze'Ev Rivlin
  • Publication number: 20180366124
    Abstract: Techniques are provided for training of a text independent (TI) speaker recognition (SR) model. A methodology implementing the techniques according to an embodiment includes measuring context data associated with collected TI speech utterances from a user and identifying the user based on received identity measurements. The method further includes performing a speech quality analysis and a speaker state analysis based on the utterances, and evaluating a training merit value of the utterances, based on the speech quality analysis and the speaker state analysis. If the training merit value exceeds a threshold value, the utterances are stored as training data in a training database. The database is indexed by the user identity and the context data. The method further includes determining whether the stored training data has achieved a sufficiency level for enrollment of a TI SR model, and training the TI SR model for the identified user and context.
    Type: Application
    Filed: June 19, 2017
    Publication date: December 20, 2018
    Applicant: INTEL CORPORATION
    Inventors: Gokcen Cilingir, Jonathan J. Huang, Narayan Biswal, Mandar S. Joshi
  • Patent number: 10114935
    Abstract: Technologies for multi-factor authentication of a user include a computing device with one or more sensors. The computing device may authenticate the user by analyzing biometric and/or environmental sensor data to determine whether to allow the user access to a computing device. To do so, the computing device may determine reliability scores based on the environment during authentication for each biometric authentication factor used to authenticate the user. Additionally, the computing device may determine a login pattern based on sensor data collected during historical authentication attempts by the user over a period of time. The computing device may apply a machine-learning classification algorithm to determine classification rules, based on the login pattern, applied by the computing device to determine whether to allow the user access to the computing device. Other embodiments are described herein and claimed.
    Type: Grant
    Filed: December 23, 2014
    Date of Patent: October 30, 2018
    Assignee: Intel Corporation
    Inventors: Barnan Das, Abhilasha Bhargav-Spantzel, Narayan Biswal, Micah J. Sheller, Ned M. Smith, Hormuzd M. Khosravi
  • Publication number: 20180307899
    Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Applicant: Intel Corproation
    Inventors: Barnan Das, MAYURESH M. VARERKAR, NARAYAN BISWAL, STANLEY J. BARAN, GOKCEN CILINGIR, NILESH V. SHAH, ARCHIE SHARMA, SHERINE ABDELHAK, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Publication number: 20180308269
    Abstract: Systems, apparatuses and methods may a performance-enhanced computing system comprising a sensor for measuring luminance values corresponding to light focused onto the sensor at a plurality of pixel locations, a memory including a set of instructions, and a processor. The processor executes a set of instructions causing the system to generate a multi-segment tone mapping curve, generate a set of tone mapping values corresponding to the multi-segment tone mapping curve for equally spaced input values between zero and one for storage into a look up table, and process the luminance values using the look up table to apply the tone mapping curve to the luminance values of the pixels.
    Type: Application
    Filed: June 5, 2017
    Publication date: October 25, 2018
    Applicant: Intel Corporation
    Inventors: Stanley J. Baran, Abhishek R. Appu, Sang-Hee Lee, Atthar H. Mohammed, Jong Dae Oh, Hiu-Fai R. Chan, Joydeep Ray, Kunjal Parikh, Changliang Wang, Srikanth Kambhatla, Gary Smith, Satyanarayana Avadhanam, Richmond Hicks, Robert J. Johnston, Narayan Biswal, Susanta Bhattacharjee
  • Publication number: 20180304151
    Abstract: In one embodiment, an apparatus having an integrated circuit made of substrate, at least three light emitters arranged on the substrate, and driver circuitry located on the integrated circuit, the driver circuitry to drive an ultra low persistence display to remove ghosting and nausea.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Inventors: Richmond Hicks, Kunjal Parikh, Nausheen Ansari, Arthur J. Runyan, Narayan Biswal
  • Publication number: 20180307981
    Abstract: An apparatus to facilitate neural network (NN) training is disclosed. The apparatus includes training logic to receive one or more network constraints and train the NN by automatically determining a best network layout and parameters based on the network constraints.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Inventors: Gokcen Cilingir, Elmoustapha Ould-Ahmed-Vall, Rajkishore Barik, Kevin Nealis, Xiaoming Chen, Justin E. Gottschlich, Prasoonkumar Surti, Chandrasekaran Sakthivel, Abhishek R. Appu, John C. Weast, Sara S. Baghsorkhi, Barnan Das, Narayan Biswal, Stanley J. Baran, Nilesh Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20180308455
    Abstract: A system for reducing bandwidth and/or reducing power consumed by a display may comprise a display having a background plane and a region of interest plane that may be identified by a gaze tracker. The region of interest may be of a higher quality picture. In some embodiments, the display may be a large panel display and in others a head mounted display (HMD).
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Inventors: Richmond Hicks, Arthur J. Runyan, Nausheen Ansari, Narayan Biswal
  • Publication number: 20180310113
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Inventors: Joydeep Ray, Travis T. Schluessler, Prasoonkumar Surti, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, James M. Holland, Jeffery S. Boles, Jonathan Kennedy, Louis Feng, Atsuo Kuwahara, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20180307306
    Abstract: Systems, apparatuses and methods may provide for technology to improve user experience when viewing simulated 3D objects on a display. Head and upper-body movements may be tracked and recognized as gestures to alter the displayed viewing angle. The technology provides for a very natural way to look around, under, or over objects.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Inventors: Robert J. Johnston, Satyanarayana Avadhanam, Changliang Wang, Narayan Biswal, Archie Sharma, Richmond Hicks, Joydeep Ray, Abhishek R. Appu, Stanley J. Baran, Sang-Hee Lee, Atthar H. Mohammed, Jong Dae Oh, Hiu-Fai Chan, Sumit Mohan, Jill M. Boyce, Yi-Jen Chiu
  • Patent number: 10108850
    Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: October 23, 2018
    Assignee: Intel Corporation
    Inventors: Barnan Das, Mayuresh M. Varerkar, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Publication number: 20180300940
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.
    Type: Application
    Filed: April 17, 2017
    Publication date: October 18, 2018
    Inventors: Chandrasekaran Sakthivel, Michael Apodaca, Kai Xiao, Altug Koker, Jeffery S. Boles, Adam T. Lake, Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, James M. Holland, Prasoonkumar Surti, Jonathan Kennedy, Louis Feng, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20180302556
    Abstract: Systems and methods may provide for capturing 360 degree video, and multi-resolution encoding, processing and displaying of the video based on a field of view (FOV) and region of interest (ROI) for a viewer. The ROI may be determined based on eye tracking information (ETI) and the video may be encoded for viewports within the FOV at a high resolution and for other viewports outside the FOV at a lower resolution. ROI in the video may be encoded at a high resolution and areas outside of the ROI may be encoded at a lower resolution. The ETI enables the selective display of one or more warnings based on the gaze of a user to improve the efficiency of the warning. 3D glasses having variable lens may be used to adjust the focal distance of a virtual display to match a virtual distance of an object based on stereo distance cues.
    Type: Application
    Filed: April 17, 2017
    Publication date: October 18, 2018
    Inventors: Stanley J. Baran, Abhishek R. Appu, Sang-Hee Lee, Atthar H. Mohammed, Jong Dae Oh, Hiu-Fai R. Chan, Joydeep Ray, Barnan Das, Archie Sharma, Richmond Hicks, Changliang Wang, Satyanarayana Avadhanam, Robert J. Johnston, Narayan Biswal
  • Publication number: 20180301095
    Abstract: Often when there is a glare on a display screen the user may be able to mitigate the glare by tilting or otherwise moving the screen or changing their viewing position. However, when driving a car there are limited options for overcoming glares on the dashboard, especially when you are driving for a long distance in the same direction. Embodiments are directed to eliminating such glare. Other embodiments are related to mixed reality (MR) and filling in occluded areas.
    Type: Application
    Filed: April 17, 2017
    Publication date: October 18, 2018
    Inventors: Arthur J. Runyan, Richmond Hicks, Nausheen Ansari, Narayan Biswal, Ya-Ti Peng, Abhishek R. Appu, Wen-Fu Kao, Sang-Hee Lee, Joydeep Ray, Changliang Wang, Satyanarayana Avadhanam, Scott Janus, Gary Smith, Nilesh V. Shah, Keith W. Rowe, Robert J. Johnston
  • Publication number: 20180300556
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Application
    Filed: April 17, 2017
    Publication date: October 18, 2018
    Applicant: Intel Corporation
    Inventors: MAYURESH M. VARERKAR, BARNAN DAS, NARAYAN BISWAL, STANLEY J. BARAN, GOKCEN CILINGIR, NILESH V. SHAH, ARCHIE SHARMA, SHERINE ABDELHAK, SACHIN GODSE, FARSHAD AKHBARI, NARAYAN SRINIVASA, ALTUG KOKER, NADATHUR RAJAGOPALAN SATISH, DUKHWAN KIM, FENG CHEN, ABHISHEK R. APPU, JOYDEEP RAY, PING T. TANG, MICHAEL S. STRICKLAND, XIAOMING CHEN, ANBANG YAO, TATIANA SHPEISMAN, Vasanth Ranganathan, Sanjeev Jahagirdir