Patents by Inventor Harish Kumar DHANASEKARAN

Harish Kumar DHANASEKARAN 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: 11741754
    Abstract: Conventionally, activity detection has been through one mode i.e., smart watch. Though it works in reasonable cases, there are chances of false positives considerably. Other approaches include surveillance which limits itself to object detection. Embodiments of present disclosure provide systems and methods for detecting activities performed by user from data captured from multiple sensors. A first input (FI) comprising accelerometer data, heart rate and gyroscope data and second input (SI) comprising video data are obtained. Features are extracted from FI and pre-processed for a first activity (FA) detection using activity prediction model. Frames from SI are processed for creating bounding box of user and resized thereof to extract pose coordinates vector. Distance between vector of pose coordinates and training vectors of pose coordinates stored in the system is computed and a second activity (SA) is detected accordingly. Both the FA and SA are validated for determining true and/or false positive.
    Type: Grant
    Filed: February 1, 2021
    Date of Patent: August 29, 2023
    Assignee: Tata Consultancy Services Limited
    Inventors: Ramesh Balaji, Srinivasa Raghavan Venkatachari, Harish Kumar Dhanasekaran
  • Publication number: 20220384041
    Abstract: Nocturia has been defined as the need for an individual to wake up one or more times during the night to void. Further, Nocturia detection also requires analysis of sleeping pattern of the person. In such cases a lot of assumptions are made when the person is not in bedroom during nights. A method and system for detection and validation of Nocturia in the person has been provided. The system is utilizing a statistical based analysis, a rule based analysis, a machine learning based analysis and analysis of sleeping pattern of the person to detect and validate Nocturia. The system ensures that the person is not disturbed in his/her daily activities. Further, the processes deployed in the system are completely un-supervisory in nature meaning it does not have the dependency of needing to have trained machine learning dataset.
    Type: Application
    Filed: November 6, 2020
    Publication date: December 1, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: BALASUBRAMANIAM KRISHNAN, RAMESH BALAJI, SRINIVASA RAGHAVAN VENKATACHARI, ARUN VIJAYAKUMAR, HARISH KUMAR DHANASEKARAN
  • Publication number: 20210321894
    Abstract: Conventionally, activity detection has been through one mode i.e., smart watch. Though it works in reasonable cases, there are chances of false positives considerably. Other approaches include surveillance which limits itself to object detection. Embodiments of present disclosure provide systems and methods for detecting activities performed by user from data captured from multiple sensors. A first input (FI) comprising accelerometer data, heart rate and gyroscope data and second input (SI) comprising video data are obtained. Features are extracted from FI and pre-processed for a first activity (FA) detection using activity prediction model. Frames from SI are processed for creating bounding box of user and resized thereof to extract pose coordinates vector. Distance between vector of pose coordinates and training vectors of pose coordinates stored in the system is computed and a second activity (SA) is detected accordingly. Both the FA and SA are validated for determining true and/or false positive.
    Type: Application
    Filed: February 1, 2021
    Publication date: October 21, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Ramesh BALAJI, Srinivasa Raghavan VENKATACHARI, Harish Kumar DHANASEKARAN