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公开(公告)号：US11573563B2
公开(公告)日：2023-02-07
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 , G05D1/02 , H04L67/141
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.
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公开(公告)号：US11526174B2
公开(公告)日：2022-12-13
申请号：US16894411
申请日：2020-06-05
Applicant: Tata Consultancy Services Limited
Inventor： Brojeshwar Bhowmick , Krishnam Madhava Krishna , Sriram Nochur Narayanan , Gourav Kumar , Abhay Singh , Siva Karthik Mustikovela , Saket Saurav
Abstract: The disclosure herein generally relates to the field of autonomous navigation, and, more particularly, to a diverse trajectory proposal for autonomous navigation. The embodiment discloses a hierarchical network based diverse trajectory proposal for autonomous navigation. The hierarchical 2-stage neural network architecture maps the perceived surroundings to diverse trajectories in the form of trajectory waypoints, that an autonomous navigation system can choose to navigate/traverse. The first stage of the disclosed hierarchical 2-stage Neural Network architecture is a Trajectory Proposal Network which generates a set of diverse traversable regions in an environment which can be occupied by the autonomous navigation system in the future. The second stage is a Trajectory Sampling network which predicts a fine-grained trajectory/trajectory waypoint over the diverse traversable regions proposed by Trajectory Proposal Network.
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公开(公告)号：US11501777B2
公开(公告)日：2022-11-15
申请号：US17161767
申请日：2021-01-29
Applicant: Tata Consultancy Services Limited
Inventor： Chayan Sarkar , Pradip Pramanick , Snehasis Banerjee , Brojeshwar Bhowmick
Abstract: The disclosure herein relates to methods and systems for enabling human-robot interaction (HRI) to resolve task ambiguity. Conventional techniques that initiates continuous dialogue with the human to ask a suitable question based on the observed scene until resolving the ambiguity are limited. The present disclosure use the concept of Talk-to-Resolve (TTR) which initiates a continuous dialogue with the user based on visual uncertainty analysis and by asking a suitable question that convey the veracity of the problem to the user and seek guidance until all the ambiguities are resolved. The suitable question is formulated based on the scene understanding and the argument spans present in the natural language instruction. The present disclosure asks questions in a natural way that not only ensures that the user can understand the type of confusion, the robot is facing; but also ensures minimal and relevant questioning to resolve the ambiguities.
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34.发明授权公开(公告)号：US11429467B2
公开(公告)日：2022-08-30
申请号：US16728528
申请日：2019-12-27
Applicant: Tata Consultancy Services Limited
Inventor： Avik Ghose , Brojeshwar Bhowmick
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.
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公开(公告)号：US11295501B1
公开(公告)日：2022-04-05
申请号：US17188512
申请日：2021-03-01
Applicant: Tata Consultancy Services Limited
Inventor： Sandika Biswas , Dipanjan Das , Sanjana Sinha , Brojeshwar Bhowmick
Abstract: Most of the prior art references that generate animations fail to determine and consider head movement data. The prior art references which consider the head movement data for generating the animations rely on a sample video to generate/determine the head movements data, which, as a result, fail to capture changing head motions throughout course of a speech given by a subject in an actual whole length video. The disclosure herein generally relates to generating facial animations, and, more particularly, to a method and system for generating the facial animations from speech signal of a subject. The system determines the head movement, lip movements, and eyeball movements, of the subject, by processing a speech signal collected as input, and uses the head movement, lip movements, and eyeball movements, to generate an animation.
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Patent Agency Ranking
公开(公告)号：US11176724B1
公开(公告)日：2021-11-16
申请号：US17036583
申请日：2020-09-29
Applicant: Tata Consultancy Services Limited
Inventor： Sanjana Sinha , Sandika Biswas , Brojeshwar Bhowmick
Abstract: Speech-driven facial animation is useful for a variety of applications such as telepresence, chatbots, etc. The necessary attributes of having a realistic face animation are: 1) audiovisual synchronization, (2) identity preservation of the target individual, (3) plausible mouth movements, and (4) presence of natural eye blinks. Existing methods mostly address audio-visual lip synchronization, and synthesis of natural facial gestures for overall video realism. However, existing approaches are not accurate. Present disclosure provides system and method that learn motion of facial landmarks as an intermediate step before generating texture. Person-independent facial landmarks are generated from audio for invariance to different voices, accents, etc. Eye blinks are imposed on facial landmarks and the person-independent landmarks are retargeted to person-specific landmarks to preserve identity related facial structure. Facial texture is then generated from person-specific facial landmarks that helps to preserve identity-related texture.
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公开(公告)号：US11033205B2
公开(公告)日：2021-06-15
申请号：US15427762
申请日：2017-02-08
Applicant: Tata Consultancy Services Limited
Inventor： Kingshuk Chakravarty , Brojeshwar Bhowmick , Aniruddha Sinha , Abhijit Das
Abstract: A method and system is provided for finding and analyzing gait parameters and postural balance of a person using a Kinect system. The system is easy to use and can be installed at home as well as in clinic. The system includes a Kinect sensor, a software development kit (SDK) and a processor. The temporal skeleton information obtained from the Kinect sensor to evaluate gait parameters includes stride length, stride time, stance time and swing time. Eigenvector based curvature detection is used to analyze the gait pattern with different speeds. In another embodiment, Eigenvector based curvature detection is employed to detect static single limb stance (SLS) duration along with gait variables for evaluating body balance.
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公开(公告)号：US10890444B2
公开(公告)日：2021-01-12
申请号：US15154476
申请日：2016-05-13
Applicant: Tata Consultancy Services Limited
Inventor： Apurbaa Mallik , Brojeshwar Bhowmick , Aniruddha Sinha , Aishwarya Visvanathan , Sudeb Das
Abstract: Method and System for estimating three dimensional measurements of a physical object by utilizing readings from inertial sensors is provided. The method involves capturing by a handheld unit, three dimensional aspects of the physical object. The raw recordings are received from the inertial sensors and are used to develop a raw rotation matrix. The raw rotation matrix is subjected to low pass filtering to obtain processed matrix constituted of filtered Euler angles wherein coordinates from the processed rotation matrix is used to estimate gravitational component along the three axis leading to determination of acceleration values and further calculation of measurement of each dimension of the physical object.
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公开(公告)号：US10755125B2
公开(公告)日：2020-08-25
申请号：US15900788
申请日：2018-02-20
Applicant: Tata Consultancy Services Limited
Inventor： Puneet Gupta , Brojeshwar Bhowmick , Arpan Pal
Abstract: The present disclosure provides a non-invasive, inexpensive and unobtrusive system that enables heart rate (HR) monitoring by addressing the traditionally known issues with face video based systems due to respiration, facial expressions, out-of-plane movements, camera parameters and environmental factors. These issues are alleviated by filtering, pulse modelling and HR tracking. Quality measures are defined which incorporate out-of-plane movements to define the quality of each video frame unlike existing approaches which provide a single quality for the entire video. To handle out-of-plane movement, Fourier basis function is employed to reconstruct pulse signals at affected locations. Bayesian decision theory based method performs HR tracking using previous HR and quality estimates for improved HR monitoring.
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公开(公告)号：US10750959B2
公开(公告)日：2020-08-25
申请号：US15872458
申请日：2018-01-16
Applicant: Tata Consultancy Services Limited
Inventor： Puneet Gupta , Brojeshwar Bhowmick , Arpan Pal
Abstract: A system and method for real time estimation of heart rate (HR) from one or more face videos acquired in non-invasive manner. The system receives face videos and obtains several blocks as ROI consisting of facial skin areas. Subsequently, the temporal fragments are extracted from the blocks and filtered to minimize the noise. In the next stage, several temporal fragments are extracted from the video. The several temporal fragments, corrupted by noise are determined using an image processing range filter and pruned for further processing. The HR of each temporal fragment, referred as local HR is estimated along with its quality. Eventually, a quality based fusion is applied to estimate a global HR corresponding to the received face videos. In addition, the disclosure herein is also applicable for frontal, profile and multiple faces and performs in real-time.
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