公开(公告)号：US20210303668A1

公开(公告)日：2021-09-30

申请号：US17212659

申请日：2021-03-25

Applicant: Tata Consultancy Services Limited

Inventor： Tanushree BANNERJEE ,  Venkata Subramanian VIRARAGHAVAN ,  Kartik MURALIDHARAN ,  Dibyanshu JAISWAL ,  Mithun Basaralu SHESHACHALA ,  Ramesh Kumar RAMAKRISHAN ,  Arpan PAL ,  Balamuralidhar PURUSHOTHAMAN

IPC: G06F21/32 ,  A61B5/117 ,  A61B5/024 ,  A61B5/00 ,  G06F21/34

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.

公开(公告)号：US20210295735A1

公开(公告)日：2021-09-23

申请号：US17199562

申请日：2021-03-12

Applicant: Tata Consultancy Services Limited

Inventor： Balasubramaniam KRISHNAN ,  Venkatachari RAGHAVAN ,  Arun VIJAYAKUMAR ,  Kartik MURALIDHARAN ,  Avik GHOSE ,  Mayuri DUGGIRALA

IPC: G09B19/00 ,  A61B5/11 ,  G16H20/70

Abstract: A processor implemented method of determining personalized wellness measures associated plurality of dimensions of an individual is provided. The processor implemented method includes at least one of: receiving, plurality of information associated with plurality of sensors; processing, the plurality of information associated with the plurality of sensors to obtain plurality of low-level features; determining, at least one digital behavioral marker based on the plurality of low-level features; processing, at least one dimension associated with a plurality of well-being of the individual based on the at least one digital behavioral marker to determine a set of objective features; generating, one or more wellness scores for the set of objective features associated with the at least one well-being dimension of the individual; and dynamically recommending, one or more behavior changes based on the one or more generated wellness scores of the individual.

公开(公告)号：US20250099014A1

公开(公告)日：2025-03-27

申请号：US18822583

申请日：2024-09-03

Applicant: Tata Consultancy Services Limited

Inventor： Jayavardhana Rama GUBBI LAKSHMINARASIMHA ,  Tanuja JAYAS ,  Kartik MURALIDHARAN ,  Adarsh ANAND ,  Ramesh Kumar RAMAKRISHNAN ,  Arpan PAL

IPC: A61B5/372 ,  A61B5/00 ,  A61B5/256

Abstract: The embodiments of the present disclosure herein address unresolved problems of quality of signals in real time for wearables to provide optimal signals which can be used for brain signal based applications. Further, conventional techniques fail to provide real-time calibration of wearable devices, to understand the quality of the signals from the wearable device. Embodiments herein provide a method and system for a real-time calibration of one or more Electroencephalography (EEG) signals received from a wearable Ear-EEG device. The system is leveraging quality of signals in real time for wearables to provide optimal signals which can be used for early detection of neurodegenerative disease and brain-computer interface (BCI) applications. Further, the system is able to detect electrodes in the wearable device where the EEG signals have not been collected because the contact was not established.

公开(公告)号：US20190138688A1

公开(公告)日：2019-05-09

申请号：US16179784

申请日：2018-11-02

Applicant: Tata Consultancy Services Limited

Inventor： Vivek CHANDEL ,  Dhaval Satish JANI ,  Sundeep KHANDELWAL ,  Shalini MUKHOPADHYAY ,  Dibyanshu JAISWAL ,  Avik GHOSE ,  Arpan PAL ,  Kartik MURALIDHARAN

IPC: G06F19/24 ,  G06F19/28 ,  A61B5/024 ,  A61B5/00

Abstract: This disclosure relates generally to classification of cardiopulmonary fatigue. The method and system provides a longitudinal monitoring platform to classify cardiopulmonary fatigue of a subject using a wearable device worn by the subject. The activities of the subject is continuous monitored by plurality of sensors embedded in a wearable device. The received sensor signals are processed in multiple stages to classify cardiopulmonary fatigue as healthy or unhealthy based on respiratory, heart rate and recovery duration parameters extracted from the received sensor data. Further using the classified cardiopulmonary fatigue level, the C2P also performs longitudinal analysis to detect potential cardiopulmonary disorders.