-
1.发明申请公开(公告)号：US20170127242A1
公开(公告)日：2017-05-04
申请号：US15336191
申请日：2016-10-27
Applicant: Tata Consultancy Services Limited
Inventor： Shalini ARORA , Avik GHOSE , Shivani JOHARI , Vivek CHANDEL , Nasimuddin AHMED
CPC classification number: G01S5/0257 , G01C19/00 , G01C21/165 , G01C21/206 , G01S11/06 , H04W4/024 , H04W4/029 , H04W4/33 , H04W4/35
Abstract: Sensor data fusing systems and methods are provided. The fusing system reads and parses a floor plan to obtain a location of a user, identifies a grid in the floor plan using the location, determines a distance between the user and beacons placed at every corner of identified grid, and further trilaterating the location using beacon identifiers. The system further assigns a weight to the trilaterated location based on the distance between the user and the beacons in the grid to obtain a first set of weights, and computes one or more weights using number of particles generated with respect to an inertial measurement obtained from an inertial sensor to obtain a second set of weights. The fusing system further fuses the first set of weights and the second set of weights to obtain a first and a second co-ordinate that indicates specific position of the user in the location.
-
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
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.
-
Patent Agency Ranking
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：US20220086597A1
公开(公告)日：2022-03-17
申请号：US17178081
申请日：2021-02-17
Applicant: Tata Consultancy Services Limited
Inventor： Vivek CHANDEL , Snehasis BANERJEE , Avik GHOSE
IPC: H04W4/02 , H04Q9/00 , H04B17/318
Abstract: Conventionally, Received Signal Strength Indicator (RSSI)-based solutions have been extensively devised in the domains of indoor localization and context-aware applications. These solutions are primarily based on a path-loss attenuation model, with customizations on RSSI processing and are usually regression-based. Further, existing solutions for distance and proximity estimation incorporate data features derived only from the RSSI values themselves with additional features like frequency of occurrence of certain RSSI values thus are less accurate. Present disclosure provides systems and methods that implement a classification model that uses RSSI as well as temporal features derived from the received data packets. The model uses data from multiple devices in different environments for training and can execute proximity decisions on the device itself. The method of the present disclosure monitoring proximity between a plurality of devices implements/uses an effective protocol for decision aggregation to suppress false positive proximity events generated and further stabilizes device's response.
-
5.发明申请公开(公告)号：US20200305763A1
公开(公告)日：2020-10-01
申请号：US16827756
申请日：2020-03-24
Applicant: Tata Consultancy Services Limited
Inventor： Vivek CHANDEL , Shivam Singhal , Avik Ghose
Abstract: The present disclosure provides wearable apparatus and method for calculating drift-free plantar pressure parameters for gait monitoring of an individual. Most conventional techniques use different kind of sensors placed in in-sole based wearable apparatus but are costly and not effective in calculating accurate plantar pressure parameters. The disclosed wearable apparatus uses off-the shelf piezoelectric sensors that are widely available in market with less cost. The drift-free plantar pressure parameters are calculated using drift-free static pressure data obtained by numerically integrating acquired dynamic sensor data from the piezoelectric sensors, using a LiTCEM correction mechanism. A 6-DOF Inertial Measurement Unit (IMU sensor) helps in isolating zero-pressure duration indicating when a foot of the individual is in air during a stride, while obtaining the drift-free static pressure data. The disclosed wearable apparatus calculate the drift-free plantar pressure parameters for long duration and facilitates monitoring walking patterns of the individual.
-
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
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：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
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.
-
-
-
-
-
-
Search Results
7
records
(took 0.013 seconds)
