SG10201903839YA - A unified platform for domain adaptable human behaviour inference - Google Patents

A unified platform for domain adaptable human behaviour inference

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Publication number
SG10201903839YA
SG10201903839YA SG10201903839YA SG10201903839YA SG 10201903839Y A SG10201903839Y A SG 10201903839YA SG 10201903839Y A SG10201903839Y A SG 10201903839YA SG 10201903839Y A SG10201903839Y A SG 10201903839YA
Authority
SG
Singapore
Prior art keywords
inference
unified
human behaviour
domain
low level
Prior art date
Application number
Inventor
Avik Ghose
Arijit Chowdhury
Sakyajit Bhattacharya
Vivek Chandel
Arpan Pal
Soma Bandyopadhyay
Original Assignee
Tata Consultancy Services Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Publication of SG10201903839YA publication Critical patent/SG10201903839YA/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9035—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/908—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models

Abstract

A UNIFIED PLATFORM FOR DOMAIN ADAPTABLE HUMAN BEHAVIOUR INFERENCE 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. [To be published with FIG. ] 23
SG10201903839Y 2018-04-27 2019-04-29 A unified platform for domain adaptable human behaviour inference SG10201903839YA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN201821016084 2018-04-27

Publications (1)

Publication Number Publication Date
SG10201903839YA true SG10201903839YA (en) 2019-11-28

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Country Status (5)

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US (1) US11699522B2 (en)
EP (1) EP3561815A1 (en)
JP (1) JP6882367B2 (en)
AU (1) AU2019202962B2 (en)
SG (1) SG10201903839YA (en)

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CN111738335A (en) * 2020-06-23 2020-10-02 鲁东大学 Time series data abnormity detection method based on neural network
JP2022062362A (en) 2020-10-08 2022-04-20 富士通株式会社 Information processing program, information processing device and information processing method
CN112819034A (en) * 2021-01-12 2021-05-18 平安科技（深圳）有限公司 Data binning threshold calculation method and device, computer equipment and storage medium

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JP4586443B2 (en) * 2004-07-16 2010-11-24 トヨタ自動車株式会社 Information provision device
NZ553146A (en) * 2007-02-09 2011-05-27 Say Systems Ltd Improvements relating to monitoring and displaying activities
JP2011517494A (en) * 2008-03-19 2011-06-09 アップルシード ネットワークス インコーポレイテッド Method and apparatus for detecting behavior patterns
JP5440080B2 (en) * 2009-10-02 2014-03-12 ソニー株式会社 Action pattern analysis system, portable terminal, action pattern analysis method, and program
CN104335564B (en) * 2012-02-02 2017-03-08 塔塔咨询服务有限公司 For identify and analyze user personal scene system and method
JP6008572B2 (en) * 2012-05-17 2016-10-19 株式会社日立製作所 Exercise support system and exercise support method
US20170164878A1 (en) * 2012-06-14 2017-06-15 Medibotics Llc Wearable Technology for Non-Invasive Glucose Monitoring
US20140361905A1 (en) * 2013-06-05 2014-12-11 Qualcomm Incorporated Context monitoring
US9516141B2 (en) * 2013-08-29 2016-12-06 Verizon Patent And Licensing Inc. Method and system for processing machine-to-machine sensor data
US10321870B2 (en) 2014-05-01 2019-06-18 Ramot At Tel-Aviv University Ltd. Method and system for behavioral monitoring
JP5902251B2 (en) * 2014-07-23 2016-04-13 株式会社日立製作所 Action support system and mobile terminal
US10909462B2 (en) * 2015-05-21 2021-02-02 Tata Consultancy Services Limited Multi-dimensional sensor data based human behaviour determination system and method
US20170024660A1 (en) 2015-07-23 2017-01-26 Qualcomm Incorporated Methods and Systems for Using an Expectation-Maximization (EM) Machine Learning Framework for Behavior-Based Analysis of Device Behaviors
ITUB20153636A1 (en) * 2015-09-15 2017-03-15 Brainsigns S R L METHOD TO ESTIMATE A MENTAL STATE, IN PARTICULAR A WORK LOAD, AND ITS APPARATUS
CN117056558A (en) * 2016-08-08 2023-11-14 内特拉戴因股份有限公司 Distributed video storage and search using edge computation
US11120353B2 (en) * 2016-08-16 2021-09-14 Toyota Jidosha Kabushiki Kaisha Efficient driver action prediction system based on temporal fusion of sensor data using deep (bidirectional) recurrent neural network

Also Published As

Publication number Publication date
US11699522B2 (en) 2023-07-11
AU2019202962A1 (en) 2019-11-14
EP3561815A1 (en) 2019-10-30
JP2020013547A (en) 2020-01-23
US20190332950A1 (en) 2019-10-31
AU2019202962B2 (en) 2021-03-04
JP6882367B2 (en) 2021-06-02

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