公开(公告)号：US20210208581A1

公开(公告)日：2021-07-08

申请号：US16988453

申请日：2020-08-07

Applicant: Tata Consultancy Services Limited

Inventor： Abhijan BHATTACHARYYA ,  Ashis SAU ,  Ruddra Dev ROYCHOUDHURY ,  Hrishav Bakul BARUA ,  Chayan SARKAR ,  Sayan PAUL ,  Brojeshwar BHOWMICK ,  Arpan PAL ,  Balamuralidhar PURUSHOTHAMAN

IPC: G05D1/00 ,  H04L29/08 ,  G05D1/02

Abstract: Robotic platform for tele-presence applications has gained paramount importance, such as for remote meetings, group discussions, and the like and has sought much attention. There exist some robotic platforms for such tele-presence applications, these lack efficacy in communication and interaction between remote person and avatar robot deployed in another geographic location thus adding network overhead. Embodiments of the present disclosure for edge centric communication protocol for remotely maneuvering tele-presence robot in geographically distributed environment. More specifically, edge-centric tele-presence robot architecture is provided for maneuvering tele-presence robot in distributed geographical environment, wherein the architecture provides a framework that implements both cloud and edge-centric systems together with a first communication protocol for communication between a master device and an edge device and a second communication protocol different from the first communication protocol for communication between the edge device and the tele-presence robot to improve robustness and efficacy in communication.

公开(公告)号：US20210199761A1

公开(公告)日：2021-07-01

申请号：US17037335

申请日：2020-09-29

Applicant: Tata Consultancy Services Limited

Inventor： Arijit CHOWDHURY ,  Smriti RANI ,  Tapas CHAKRAVARTY ,  Arpan PAL

IPC: G01S7/41 ,  G06F3/01 ,  G06N20/00 ,  G06N5/04

Abstract: This disclosure relates to systems and methods for shapelet decomposition based recognition using radar. State-of-the-art solutions involve use of standard machine learning classification techniques for gesture recognition which suffer with problem of dependency on collected data. The present disclosure overcome the limitations faced by the state-of-the-art solutions by obtaining a plurality of time domain signal using a radar system comprising three vertically arranged radars and one or more sensors, identifying one or more gesture windows to obtain one or more shapelets corresponding to one or gestures which are further decomposed into a plurality of sub shapelets. Further, at least one of (i) a positive or (i) a negative time delay is applied to each of the plurality of sub shapelets to obtain a plurality of composite shapelets which are further mapped with a plurality of trained shapelets to recognize gestures comprised in one or more activities performed by a subject.

公开(公告)号：US20200267010A1

公开(公告)日：2020-08-20

申请号：US16752472

申请日：2020-01-24

Applicant: Tata Consultancy Services Limited

Inventor： Abhijan BHATTACHARYYA ,  Suvrat AGRAWAL ,  Hemant Kumar RATH ,  Arpan PAL

IPC: H04L12/18 ,  H04M3/56

Abstract: Video conferencing involves transmission of video as well as audio over a network between people involved in the video conferencing, over a network. Typically, quality of conference sessions are affected by quality of network connection. If the bandwidth of the network is low, that that may cause call quality issues or call drops, which is not desirable especially in certain applications such as a surgery over video conferencing. Disclosed herein is a Conference Manager (CM) that can facilitate video conferencing over a low bandwidth network. The CM uses a producer unit and a consumer unit, for video capture and transmission, and a communication device for audio capture and transmission. The CM captures and combines audio and video data at a receiving end of the communication network. The CM also uses a fast block-wise data transfer mechanism for facilitating communication between the transmitting end and the receiving end.

公开(公告)号：US20200084279A1

公开(公告)日：2020-03-12

申请号：US16566365

申请日：2019-09-10

Applicant: Tata Consultancy Services Limited

Inventor： Hemant Kumar RATH ,  Shameemraj Mohinuddin NADAF ,  Bighnaraj PANIGRAHI ,  Jyotirmoy KARJEE ,  Samar SHAILENDRA ,  Abhijan BHATTACHARYYA ,  Garima MISHRA ,  Arpan PAL ,  Balamuralidhar PURUSHOTHAMAN

IPC: H04L29/08

Abstract: In the field of Internet of Things understanding need of applications and translating them to network parameters and protocol parameters is a major challenge. This disclosure addresses problem of enabling network services by cognitive sense-analyze-decide-respond framework. A processor implemented method is provided for enabling network aware applications and applications aware networks by a sense analyze decide respond (SADR) framework. The processor implemented method includes sensing, at least one application parameter and at least one network parameter to obtain a plurality of sensed information; analyzing, the plurality of sensed information is filtered and synchronized to generate a plurality of derived parameters; determining, a plurality of rules based on the plurality of derived parameters; validating, the plurality of rules for a plurality of scenarios to obtain plurality of decisions; and enabling, at least one of (i) network, (ii) application and (iii) protocol control based on the plurality of decisions.

公开(公告)号：US20200000360A1

公开(公告)日：2020-01-02

申请号：US16190800

申请日：2018-11-14

Applicant: Tata Consultancy Services Limited

Inventor： Tanuka BHATTACHARJEE ,  Shreyasi DATTA ,  Deepan DAS ,  Anirban DUTTA CHOUDHURY ,  Arpan PAL ,  Prasanta Kumar GHOSH

IPC: A61B5/0456 ,  G16H40/63 ,  A61B5/04 ,  A61B5/16 ,  A61B5/024

Abstract: Traditionally arousal classification has been broadly done in multiple classes but have been insufficient to provide information about how arousal level of user changes over time. Present disclosure propose a continuous and unsupervised approach of monitoring the arousal trend of individual from his/her heart rate by obtaining instantaneous HR for time windows from a resampled time series of RR intervals obtained from ECG signal. A measured average heart rate (a measured HR) is computed from instantaneous HR specific to user for each time window thereby estimating apriori state based on a last instance of an aposteriori state initialized and observation of a state space model of Kalman Filter is determined for computing error and normalizing thereof which gets compared with a threshold for continuous monitoring of arousal trend of the user. The aposterior state is further updated using Kalman gain computed based on measurement noise determined for state space model.

公开(公告)号：US20190389060A1

公开(公告)日：2019-12-26

申请号：US16268952

申请日：2019-02-06

Applicant: Tata Consultancy Services Limited

Inventor： Subhrojyoti ROY CHAUDHURI ,  Amar Satyabroto BANERJEE ,  Puneet PATWARI ,  Arijit MUKHERJEE ,  Ajay KATTEPUR ,  Balamuralidhar PURUSHOTHAMAN ,  Arpan PAL ,  Sounak DEY ,  Chayan SARKAR

IPC: B25J9/16

Abstract: Systems and methods for generating control system solutions for robotics environments is provided. The traditional systems and methods provide robotics solutions but specialized to only a particular robotic application, domain, and selected structure. The embodiments of the proposed disclosure provide for generating one or more control system solutions for a plurality of robotics environment by acquiring a robotics domain knowledge corresponding to the plurality of robotics environments; extracting one or more solution specifications based upon the robotics domain knowledge; translating the one or more solution specifications into one or more design solutions; generating, the one or more control system solutions for the plurality of robotics environments; and optimizing the one or more control system solutions generated by performing, based upon a set of task execution logs executed, a close loop verification to validate a plurality of commands and a plurality of state transitions executing in the plurality of robotics environments.

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：US20190133533A1

公开(公告)日：2019-05-09

申请号：US15912773

申请日：2018-03-06

Applicant: Tata Consultancy Services Limited

Inventor： Shahnawaz ALAM ,  Shreyasi DATTA ,  Anirban Dutta CHOUDHURY ,  Arpan PAL

IPC: A61B5/00 ,  A61B5/024 ,  A61B5/1455

CPC classification number: A61B5/7221 ,  A61B5/02416 ,  A61B5/02438 ,  A61B5/14542 ,  A61B5/1455 ,  A61B5/6898 ,  A61B5/7203 ,  A61B5/7246 ,  A61B5/7267

Abstract: This disclosure relates generally to PPG signal quality assessment, and more particularly to, a system and method for sensor agnostic PPG signal quality assessment using morphological analysis. In one embodiment, a method for PPG signal quality assessment includes obtaining a PPG signal captured using a testing device in real-time, and segmenting into a first plurality of PPG signal samples such that length of each of the first plurality of PPG signal samples more than a threshold length. A signal sufficiency check (SSC) is performed for each first PPG signal sample to obtain at least a first set of PPG signal samples complying with the SSC. A set of features is extracted from the first set of PPG signal samples, based on which each PPG signal sample is identified as one of a noisy and clean signal sample using a plurality of Random Forest (RF) models created during the training phase.

公开(公告)号：US20190082988A1

公开(公告)日：2019-03-21

申请号：US15883712

申请日：2018-01-30

Applicant: Tata Consultancy Services Limited

Inventor： Shreyasi DATTA ,  Chetanya PURI ,  Ayan MUKHERJEE ,  Rohan BANERJEE ,  Anirban Dutta CHOUDHURY ,  Arijit UKIL ,  Soma BANDYOPADHYAY ,  Arpan PAL ,  Sundeep KHANDELWAL ,  Rituraj SINGH

IPC: A61B5/04 ,  A61B5/0452 ,  A61B5/00 ,  A61B5/0472 ,  A61B5/046

Abstract: Current technologies analyze electrocardiogram (ECG) signals for a long duration, which is not always a practical scenario. Moreover the current scenarios perform a binary classification between normal and Atrial Fibrillation (AF) only, whereas there are many abnormal rhythms apart from AF. Conventional systems/methods have their own limitations and may tend to misclassify ECG signals, thereby resulting in an unbalanced multi-label classification problem. Embodiments of the present disclosure provide systems and methods that are robust and more efficient for classifying rhythms for example, normal, AF, other abnormal rhythms and noisy ECG recordings by implementing a spectrogram based noise removal that obtains clean ECG signal from an acquired single-lead ECG signal, an optimum feature selection at each layer of classification that selects optimum features from a pool of extracted features, and a multi-layer cascaded binary classifier that identifies rhythms in the clean ECG signal at each layer of the classifier.

公开(公告)号：US20190008475A1

公开(公告)日：2019-01-10

申请号：US15912234

申请日：2018-03-05

Applicant: Tata Consultancy Services Limited

Inventor： Shreyasi DATTA ,  Anirban DUTTA CHOUDHURY ,  Parijat DESHPANDE ,  Sakyajit BHATTACHARYA ,  Arpan PAL

IPC: A61B7/00 ,  A61B7/04 ,  A61B5/00

Abstract: Identification of pulmonary diseases involves accurate auscultation as well as elaborate and expensive pulmonary function tests. Also, there is a dependency on a reference signal from a flowmeter or need for labelled respiratory phases. The present disclosure provides extraction of frequency and time-frequency domain lung sound features such as spectral and spectrogram features respectively that enable classification of healthy and abnormal lung sounds without the dependencies of prior art. Furthermore extraction of wavelet and cepstral features improves accuracy of classification. The lung sound signals are pre-processed prior to feature extraction to eliminate heart sounds and reduce computational requirements while ensuring that information providing adequate discrimination between healthy and abnormal lung sounds is not lost.