公开(公告)号：US20240211815A1

公开(公告)日：2024-06-27

申请号：US18527487

申请日：2023-12-04

Applicant: Tata Consultancy Services Limited

Inventor： Shashee KUMARI ,  Sakyajit BHATTACHARYA ,  Avik GHOSE ,  Arnab CHATTERJEE

IPC: G06N20/20

CPC classification number: G06N20/20

Abstract: Research work in the literature on imputation of mobility data for missing records of a subject's location trajectory has been specifically revolved around usage of historical data. Thus, performances drop when missing records or imputation mobility data for unknown subject with very little or no historical data has to be predicted. A method and system for training an ensemble classifier for imputation of mobility data of unknown subject based on cohort of the unknown subject is disclosed. The method and system disclosed herein exploits the knowledge that semantic trajectories of different individuals has considerable similarity when individuals belong to the same cohort. This concept is used by the method to predict the behavior of all the individuals in a cohort using ensemble classifier, also referred to as imputation model, trained on the semantic location data of a fraction of total individuals in the cohort with a certain accuracy.

公开(公告)号：US20230154621A1

公开(公告)日：2023-05-18

申请号：US17982812

申请日：2022-11-08

Applicant: Tata Consultancy Services Limited

Inventor： Vivek CHANDEL ,  Avik GHOSE ,  Murali Poduval

IPC: G16H50/30 ,  G16H20/30

CPC classification number: G16H50/30 ,  G16H20/30

Abstract: This disclosure relates generally to real time analysis of range of motion (ROM), wherein ROM is a measurement of movement around a specific joint or body part. The existing techniques for ROM fail for measurements made in certain planes and are not very effective for ROM measurements for extremely slow and very fast movements. The disclosed provides a real time analysis of ROM based on computation of range of motion (ROM) of a joint and a set of ROM parameters using a gyroscope. The gyroscope collects data from a subject at pre-defined neutral position of the subject as well as a pre-defined rotation movement of a joint of the subject. The received data is corrected for bias and processed at real time to analyze the ROM by computing range of motion (ROM) of a joint and a set of ROM parameters.

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：US20210243260A1

公开(公告)日：2021-08-05

申请号：US17136436

申请日：2020-12-29

Applicant: Tata Consultancy Services Limited

Inventor： Chirabrata BHAUMIK ,  Rajat DAS ,  Arpan PAL ,  Tapas CHAKRAVARTY ,  Raj RAKSHIT ,  Avik GHOSE ,  Amit SWAIN ,  Arijit SINHARAY

IPC: H04L29/08 ,  G16Y30/00 ,  G06F16/25

Abstract: Any sensing system is faced with triangle of dilemma between accuracy, latency and energy. High energy and high latency sensing systems are often very accurate but less useful. Embodiments herein provide a method and system for edge based sensor controlling in the IoT network for event monitoring. The system disclosed herein applies a hierarchical sensor selection process and adaptively chooses sensors among multiple sensors deployed in the IoT network. Further, on-the-fly changes operation modes of the sensors to automatically produce the best possible inference from the selected sensor data, in time, power and latency at the edge. Further, sensors of the system include a waveform and diversity control mechanism that enables controlling of an excitation signal of the sensor.

公开(公告)号：US20200210265A1

公开(公告)日：2020-07-02

申请号：US16728528

申请日：2019-12-27

Applicant: Tata Consultancy Services Limited

Inventor： Avik GHOSE ,  Brojeshwar BHOWMICK

IPC: G06F11/07

Abstract: This disclosure relates generally to a method and system for prediction of correct discrete sensor data, thus enabling continuous flow of data even when a discrete sensor fails. The activities of humans/subjects, housed in a smart environment is continuously monitored by plurality of non-intrusive discrete sensors embedded in living infrastructure. The collected discrete sensor data is usually sparse and largely unbalanced, wherein most of the discrete sensor data is ‘No’ and comparatively only a few samples of ‘Yes’, hence making prediction very challenging. The proposed prediction techniques based on introduction of temporal uncertainty is performed in several stages which includes pre-processing of received discrete sensor data, introduction of temporal uncertainty techniques followed by prediction based on neural network techniques of learning pattern using historical data.

公开(公告)号：US20190332950A1

公开(公告)日：2019-10-31

申请号：US16396276

申请日：2019-04-26

Applicant: Tata Consultancy Services Limited

Inventor： Avik GHOSE ,  Arijit CHOWDHURY ,  Sakyajit BHATTACHARYA ,  Vivek CHANDEL ,  Arpan PAL ,  Soma BANDYOPADHYAY

IPC: G06N5/02 ,  G06N5/04 ,  G06K9/62 ,  G06F16/908 ,  G06F16/9035 ,  A61B5/00

Abstract: This disclosure relates generally to a unified platform for domain adaptable human behaviour inference. The platform provides a unified, low level inference and high level inference of domain adaptable human behaviour inference. The low level inferences include cross-sectional analysis techniques to infer location, activity, physiology. Further the high inference that provide useful and actionable for longitudinal tracking, prediction and anomaly detection is performed based on several longitudinal analysis techniques that include welch analysis, cross-spectrum analysis, Feature of interest (FOI) identification and time-series clustering, autocorrelation-based distance estimation and exponential smoothing, seasonal and non-seasonal models identification, ARIMA modelling, Hidden Markov models, Long short term memory (LSTM) along with low level inference, human meta-data and application domain knowledge. Further the unified human behaviour inference can be obtained across multiple domains that include health, retail and transportation.

公开(公告)号：US20250006346A1

公开(公告)日：2025-01-02

申请号：US18744811

申请日：2024-06-17

Applicant: Tata Consultancy Services Limited

Inventor： Aparna KANAKATTE GURUMURTHY ,  Pavan Kumar REDDY KANCHAM ,  Jayavardhana Rama GUBBI LAKSHMINARASIMHA ,  Avik GHOSE ,  Divya Manoharlal BHATIA

IPC: G16H30/40 ,  G06T7/194 ,  G06V10/24 ,  G06V10/44 ,  G16H30/20

Abstract: Existing Magnetic Resonance (MR) analysis approaches are either manual, which is time consuming and error prone, or automatic yet fail to identify correct landmarks. The disclosure herein generally relates method and system for MR image analysis. The system trains and uses a Generative adversarial network (GAN) for the MR image analysis. A generator network of the GAN generates a heatmap of a plurality of landmarks, by processing input data. Further, a discriminator network of the GAN, which has gradients updated based on a Modified Discriminator Loss (MDL) calculated based on a foreground pixel loss function and a standard discriminator loss, predicts each of a plurality of patches in a second input data as one of real and fake, based on presence of the one or more foreground pixel regions in the landmark heatmap in the ground-truth heatmap identified based on the foreground pixel loss function.

公开(公告)号：US20230148898A1

公开(公告)日：2023-05-18

申请号：US17970739

申请日：2022-10-21

Applicant: Tata Consultancy Services Limited

Inventor： Vivek CHANDEL ,  Avik GHOSE

IPC: A61B5/08 ,  A61B5/00

CPC classification number: A61B5/0816 ,  A61B5/6823 ,  A61B5/7264 ,  A61B5/7278 ,  A61B2562/0219

Abstract: This disclosure relates generally to breathing analysis of a subject. Breathing analysis on a regular basis allows early detection for the onset of diseases, thus saving resources and cost in treatments. The existing state of art techniques require specialized devices to collect-infer the breathing and are mostly limited to analyzing breathing rate. The disclosure enables breathing analysis using a personal digital assistant (PDA). The breathing analysis includes (a) estimating exhale period-inhale period, (b) estimating the breathing rate and (c) determining the type of breathing. A PDA such as a smartphone is used receive accelerometer data from a subject. The received data is pre-processed in several steps including estimating a plurality of parameters, identifying a plurality of breathing cycles. The breathing cycles of the subject are further analyzed at real time based on the plurality of parameters to provide the breathing analysis of a subject.

公开(公告)号：US20230115981A1

公开(公告)日：2023-04-13

申请号：US17956006

申请日：2022-09-29

Applicant: Tata Consultancy Services Limited

Inventor： Avik GHOSE ,  Chirabrata BHAUMIK ,  Tapas CHAKRAVARTY ,  Amit SWAIN

IPC: G01S5/02 ,  H04W64/00

Abstract: Ultra Wide Band (UWB) based Real Time Location Systems (RTLS) that are being used for location tracking suffer from due to environment specific errors that are introduced due to factors such as difference in reflection and propagation. The disclosure herein generally relates to object localization, and, more particularly, to a method and system of error modelling for object localization using Ultra Wide Band (UWB) sensors. The error modelling allows the system to correct a determined location of an object being tracked, to determine a corrected location.

公开(公告)号：US20210361249A1

公开(公告)日：2021-11-25

申请号：US17060016

申请日：2020-09-30

Applicant: Tata Consultancy Services Limited

Inventor： Aparna KANAKATTE GURUMURTHY ,  Pavan Kumar REDDY KANCHAM ,  Jayavardhana Rama GUBBI LAKSHMINARASIMHA ,  Avik GHOSE ,  Murali PODUVAL ,  Balamuralidhar PURUSHOTHAMAN

IPC: A61B6/00 ,  G06N3/08 ,  G06N3/04

Abstract: Conventionally, systems and methods have been provided for manual annotation of anatomical landmarks in digital radiography (DR) images. Embodiments of the present disclosure provides system and method for anatomical landmark detection and identification from DR images containing severe skeletal deformations. More specifically, motion artefacts and exposure are filtered from an input DR image to obtain a pre-processed DR image and probable/candidate anatomical landmarks comprised therein are identified. These probable candidate anatomical landmarks are assigned a score. A subset of the candidate anatomical landmarks (CALs) is selected as accurate anatomical landmarks based on comparison of the score with a pre-defined threshold performed by a trained classifier. Position of remaining CALs may be fine-tuned for classification thereof as accurate anatomical landmarks or missing anatomical landmarks. The CALs may be further fed to the system for checking misalignment of any of the CALs and correcting the misaligned CALs.