Patents by Inventor Venkata Subramanian VIRARAGHAVAN

Venkata Subramanian VIRARAGHAVAN 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: 11996118
    Abstract: An important task in several wellness applications is detection of emotional valence from speech. Two types of features of speech signals are used to detect valence: acoustic features and text features. Acoustic features are derived from short frames of speech, while text features are derived from the text transcription. Present disclosure provides systems and methods that determine the effect of text on acoustic features. Acoustic features of speech segments carrying emotion words are to be treated differently from other segments that do not carry such words. Only specific speech segments of the input speech signal are considered based on a dictionary specific to a language to assess emotional valence. A model trained (or trained classifier) for specific language either by including the acoustic features of the emotion related words or by omitting it is used by the system for determining emotional valence in an input speech signal.
    Type: Grant
    Filed: October 19, 2021
    Date of Patent: May 28, 2024
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Ramesh Kumar Ramakrishnan, Venkata Subramanian Viraraghavan, Rahul Dasharath Gavas, Sachin Patel, Gauri Deshpande
  • Patent number: 11992316
    Abstract: This disclosure relates generally to a method and system for assessment of sustained visual attention of a target. The conventional methods utilize various markers for assessment of attention, however, blink rate variability (BRV) series signal is not explored yet. In an embodiment, the disclosed method utilizes BRV series signal for assessing sustained visual attention of a target. A gaze data of the target is recorded using an eye tracker and a set of uniformly sampled BRV series signal is reconstructed from each of the BRV series. One or more frequency domain features, including pareto frequency, are extracted from the set of uniformly sampled BRV series signal. The values of frequency domain features extracted from the set of BRV series signals are compared with corresponding threshold values to determine visual sustained attention of the target.
    Type: Grant
    Filed: March 26, 2021
    Date of Patent: May 28, 2024
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Rahul Dasharath Gavas, Mithun Basaralu Sheshachala, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, Venkata Subramanian Viraraghavan, Achanna Anil Kumar, Girish Mariswamy Chandra
  • Patent number: 11593469
    Abstract: Embodiments herein provide a method and system for continuously validating a user during an established authenticated session using Photoplethysmogram (PPG) and accelerometer data. State of the art approaches are mostly based on feature extraction and ML modelling for PPG based continuous session validation, while a template based approach in the art follows a complicated approach. The method disclosed herein utilizes less computation intensive template based approach to continuously validate the user across the session. The method comprises preprocessing a PPG data or PPG signal acquired from a wearable device worn by the user to identify segments of negligible motion. A first segment, after authentication using conventional authentication mechanism, serves as the initial reference. The chosen segments are then tested one by one with respect to the reference. If the templates in a segment match those of the reference, it is updated as the new reference, else a re-authentication is triggered.
    Type: Grant
    Filed: March 25, 2021
    Date of Patent: February 28, 2023
    Assignee: Tata Consultancy Services Limited
    Inventors: Tanushree Bannerjee, Venkata Subramanian Viraraghavan, Kartik Muralidharan, Dibyanshu Jaiswal, Mithun Basaralu Sheshachala, Ramesh Kumar Ramakrishnan, Arpan Pal, Balamuralidhar Purushothaman
  • Publication number: 20220130414
    Abstract: An important task in several wellness applications is detection of emotional valence from speech. Two types of features of speech signals are used to detect valence: acoustic features and text features. Acoustic features are derived from short frames of speech, while text features are derived from the text transcription. Present disclosure provides systems and methods that determine the effect of text on acoustic features. Acoustic features of speech segments carrying emotion words are to be treated differently from other segments that do not carry such words. Only specific speech segments of the input speech signal are considered based on a dictionary specific to a language to assess emotional valence. A model trained (or trained classifier) for specific language either by including the acoustic features of the emotion related words or by omitting it is used by the system for determining emotional valence in an input speech signal.
    Type: Application
    Filed: October 19, 2021
    Publication date: April 28, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Ramesh Kumar RAMAKRISHNAN, Venkata Subramanian VIRARAGHAVAN, Rahul Dasharath GAVAS, Sachin PATEL, Gauri DESHPANDE
  • Publication number: 20220061723
    Abstract: This disclosure relates generally to a method and system for assessment of sustained visual attention of a target. The conventional methods utilize various markers for assessment of attention, however, blink rate variability (BRV) series signal is not explored yet. In an embodiment, the disclosed method utilizes BRV series signal for assessing sustained visual attention of a target. A gaze data of the target is recorded using an eye tracker and a set of uniformly sampled BRV series signal is reconstructed from each of the BRV series. One or more frequency domain features, including pareto frequency, are extracted from the set of uniformly sampled BRV series signal. The values of frequency domain features extracted from the set of BRV series signals are compared with corresponding threshold values to determine visual sustained attention of the target.
    Type: Application
    Filed: March 26, 2021
    Publication date: March 3, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Rahul Dasharath GAVAS, Mithun Basaralu Sheshachala, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, Venkata Subramanian Viraraghavan, Achanna Anil Kumar, Girish Mariswamy Chandra
  • Patent number: 11227624
    Abstract: This disclosure relates generally to speech signal processing, and more particularly to a method and system for processing speech signal for emotion identification. The system processes a speech signal collected as input, during which a plurality of differential features corresponding to a plurality of frames of the speech signal are extracted. Further, the differential features are compared with an emotion recognition model to identify at least one emotion matching the speech signal, and then the at least one emotion is associated with the speech signal.
    Type: Grant
    Filed: March 9, 2020
    Date of Patent: January 18, 2022
    Assignee: Tata Consultancy Services Limited
    Inventors: Gauri Ashutosh Deshpande, Sachin Patel, Mayuri Duggirala, Venkata Subramanian Viraraghavan
  • Publication number: 20210303668
    Abstract: Embodiments herein provide a method and system for continuously validating a user during an established authenticated session using Photoplethysmogram (PPG) and accelerometer data. State of the art approaches are mostly based on feature extraction and ML modelling for PPG based continuous session validation, while a template based approach in the art follows a complicated approach. The method disclosed herein utilizes less computation intensive template based approach to continuously validate the user across the session. The method comprises preprocessing a PPG data or PPG signal acquired from a wearable device worn by the user to identify segments of negligible motion. A first segment, after authentication using conventional authentication mechanism, serves as the initial reference. The chosen segments are then tested one by one with respect to the reference. If the templates in a segment match those of the reference, it is updated as the new reference, else a re-authentication is triggered.
    Type: Application
    Filed: March 25, 2021
    Publication date: September 30, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Tanushree BANNERJEE, Venkata Subramanian VIRARAGHAVAN, Kartik MURALIDHARAN, Dibyanshu JAISWAL, Mithun Basaralu SHESHACHALA, Ramesh Kumar RAMAKRISHAN, Arpan PAL, Balamuralidhar PURUSHOTHAMAN
  • Publication number: 20210290091
    Abstract: Wellness estimation allows tracking of various health parameters and estimating health condition(s) of the user being monitored. Photophlethysmogram (PPG) based health monitoring systems exist. This disclosure relates generally to PPG based wellness monitoring, and more specifically to a pulse harmonics based wellness estimation. The system collects PPG signals from a user being monitored, as input. The system calculates 12 pulse harmonics from a fundamental frequency of the PPG signal. From the pulse harmonics, further a plurality of key features are extracted, and in turn a wellness metric and a wellness index are calculated, which represents health of the user.
    Type: Application
    Filed: March 17, 2021
    Publication date: September 23, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Ramesh Kumar RAMAKRISHNAN, Rahul Dasharath GAVAS, Venkata Subramanian VIRARAGHAVAN, Arpan PAL, Balamuralidhar PURUSHOTHAMAN, Lalit Kumar HISSARIA
  • Publication number: 20200286506
    Abstract: This disclosure relates generally to speech signal processing, and more particularly to a method and system for processing speech signal for emotion identification. The system processes a speech signal collected as input, during which a plurality of differential features corresponding to a plurality of frames of the speech signal are extracted. Further, the differential features are compared with an emotion recognition model to identify at least one emotion matching the speech signal, and then the at least one emotion is associated with the speech signal.
    Type: Application
    Filed: March 9, 2020
    Publication date: September 10, 2020
    Applicant: Tata Consultancy Services Limited
    Inventors: Gauri Ashutosh DESHPANDE, Sachin PATEL, Mayuri DUGGIRALA, Venkata Subramanian VIRARAGHAVAN
  • Patent number: 9717100
    Abstract: The present subject matter discloses a method implemented on a base station for generating Physical Random Access Channel (PRACH) reference segments and detecting PRACH preambles in a Long Term Evolution (LTE) communication system. The base station performs a series of mathematical techniques to generate the PRACH reference segments using a CAZAC sequence used for detecting PRACH preambles. Further, the base station identifies the PRACH by using a signal received by the base station. The base station segments the signal to generate contiguous or non-contiguous segments. Further, the base station uses a segment by segment multiplication and subsequent addition approach performed between values at each frequency location of PRACH frequency segments with a complex conjugate of the values at a corresponding frequency location of a PRACH reference segment. Subsequently the products are added together. The sum is then processed to detect one or more PRACH preambles and timing delays.
    Type: Grant
    Filed: October 26, 2015
    Date of Patent: July 25, 2017
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventor: Venkata Subramanian Viraraghavan
  • Publication number: 20170019928
    Abstract: The present subject matter discloses a method implemented on a base station for generating Physical Random Access Channel (PRACH) reference segments and detecting PRACH preambles in a Long Term Evolution (LTE) communication system. The base station performs a series of mathematical techniques to generate the PRACH reference segments using a CAZAC sequence used for detecting PRACH preambles. Further, the base station identifies the PRACH by using a signal received by the base station. The base station segments the signal to generate contiguous or non-contiguous segments. Further, the base station uses a segment by segment multiplication and subsequent addition approach performed between values at each frequency location of PRACH frequency segments with a complex conjugate of the values at a corresponding frequency location of a PRACH reference segment. Subsequently the products are added together. The sum is then processed to detect one or more PRACH preambles and timing delays.
    Type: Application
    Filed: October 26, 2015
    Publication date: January 19, 2017
    Inventor: Venkata Subramanian VIRARAGHAVAN