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IN2013MU04097A - - Google Patents

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Publication number
IN2013MU04097A
IN2013MU04097A IN4097MU2013A IN2013MU04097A IN 2013MU04097 A IN2013MU04097 A IN 2013MU04097A IN 4097MU2013 A IN4097MU2013 A IN 4097MU2013A IN 2013MU04097 A IN2013MU04097 A IN 2013MU04097A
Authority
IN
India
Prior art keywords
skeleton points
human
identifying
features
data variation
Prior art date
Application number
Inventor
Ramu Reddy Vempada
Tanushyam Chattopadhyay
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
Priority to IN4097MU2013 priority Critical patent/IN2013MU04097A/en
Priority to EP14198552.3A priority patent/EP2889724B1/en
Priority to US14/576,627 priority patent/US9536145B2/en
Publication of IN2013MU04097A publication Critical patent/IN2013MU04097A/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1123—Discriminating type of movement, e.g. walking or running
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb using a particular sensing technique
    • A61B5/1128—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb using a particular sensing technique using image analysis
    • 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
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/34—Smoothing or thinning of the pattern; Morphological operations; Skeletonisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G06V40/25—Recognition of walking or running movements, e.g. gait recognition
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Physiology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Engineering & Computer Science (AREA)
  • Psychiatry (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Social Psychology (AREA)
  • Fuzzy Systems (AREA)
  • Signal Processing (AREA)
  • Mathematical Physics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
  • Navigation (AREA)

Abstract

System(s) and method(s) for identifying one or more human activity in a human-computer interacting environment are disclosed. Skeleton points associated with a human are received. A data variation factor for skeleton points is calculated and a set of skeleton points is selected based on the data variation factor. One or more features are defined from the set of skeleton points by identifying a variance in co-ordinates of the set of skeleton points by using one or more statistical parameters. The one or more features are used to identify the one or more human activity.
IN4097MU2013 2013-12-27 2013-12-27 IN2013MU04097A (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
IN4097MU2013 IN2013MU04097A (en) 2013-12-27 2013-12-27
EP14198552.3A EP2889724B1 (en) 2013-12-27 2014-12-17 System and method for selecting features for identifying human activities in a human-computer interacting environment
US14/576,627 US9536145B2 (en) 2013-12-27 2014-12-19 System and method for selecting features for identifying human activities in a human-computer interacting environment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN4097MU2013 IN2013MU04097A (en) 2013-12-27 2013-12-27

Publications (1)

Publication Number Publication Date
IN2013MU04097A true IN2013MU04097A (en) 2015-08-07

Family

ID=52292627

Family Applications (1)

Application Number Title Priority Date Filing Date
IN4097MU2013 IN2013MU04097A (en) 2013-12-27 2013-12-27

Country Status (3)

Country Link
US (1) US9536145B2 (en)
EP (1) EP2889724B1 (en)
IN (1) IN2013MU04097A (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2995242A1 (en) * 2018-02-15 2019-08-15 Wrnch Inc. Method and system for activity classification
CN110947181A (en) * 2018-09-26 2020-04-03 Oppo广东移动通信有限公司 Game picture display method, game picture display device, storage medium and electronic equipment
CN112364806A (en) * 2020-11-23 2021-02-12 南京熊猫电子制造有限公司 Human activity recognition system and recognition method for feature selection in human-computer interaction environment

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US6072494A (en) * 1997-10-15 2000-06-06 Electric Planet, Inc. Method and apparatus for real-time gesture recognition
US8745541B2 (en) * 2003-03-25 2014-06-03 Microsoft Corporation Architecture for controlling a computer using hand gestures
US7317836B2 (en) * 2005-03-17 2008-01-08 Honda Motor Co., Ltd. Pose estimation based on critical point analysis
US7978081B2 (en) * 2006-01-09 2011-07-12 Applied Technology Holdings, Inc. Apparatus, systems, and methods for communicating biometric and biomechanical information
KR100847136B1 (en) 2006-08-14 2008-07-18 한국전자통신연구원 Shoulder contour extraction method, robot awakening method and apparatus for same
US7628074B2 (en) * 2007-03-15 2009-12-08 Mitsubishi Electric Research Laboratories, Inc. System and method for motion capture in natural environments
WO2009086088A1 (en) 2007-12-21 2009-07-09 Honda Motor Co., Ltd. Controlled human pose estimation from depth image streams
US8113991B2 (en) * 2008-06-02 2012-02-14 Omek Interactive, Ltd. Method and system for interactive fitness training program
US8634638B2 (en) * 2008-06-20 2014-01-21 Sri International Real-time action detection and classification
KR100978929B1 (en) * 2008-06-24 2010-08-30 한국전자통신연구원 Method of registering reference gesture data, driving method of mobile terminal and mobile terminal performing the same
US9142024B2 (en) * 2008-12-31 2015-09-22 Lucasfilm Entertainment Company Ltd. Visual and physical motion sensing for three-dimensional motion capture
WO2010080687A1 (en) * 2009-01-09 2010-07-15 Thomson Licensing Method and apparatus for detecting and separating objects of interest in soccer video by color segmentation and shape analysis
US8295546B2 (en) * 2009-01-30 2012-10-23 Microsoft Corporation Pose tracking pipeline
CN102317977A (en) * 2009-02-17 2012-01-11 奥美可互动有限责任公司 Method and system for gesture recognition
US8418085B2 (en) * 2009-05-29 2013-04-09 Microsoft Corporation Gesture coach
US9019201B2 (en) * 2010-01-08 2015-04-28 Microsoft Technology Licensing, Llc Evolving universal gesture sets
US20110317871A1 (en) 2010-06-29 2011-12-29 Microsoft Corporation Skeletal joint recognition and tracking system
US8437506B2 (en) * 2010-09-07 2013-05-07 Microsoft Corporation System for fast, probabilistic skeletal tracking
US8448056B2 (en) * 2010-12-17 2013-05-21 Microsoft Corporation Validation analysis of human target
US8786680B2 (en) * 2011-06-21 2014-07-22 Disney Enterprises, Inc. Motion capture from body mounted cameras
EP2538372A1 (en) 2011-06-23 2012-12-26 Alcatel Lucent Dynamic gesture recognition process and authoring system
CN103827891B (en) * 2011-07-28 2018-01-09 Arb实验室公司 Use the system and method for the multi-dimensional gesture Data Detection body kinematics of whole world generation
KR101283262B1 (en) * 2011-10-21 2013-07-11 한양대학교 산학협력단 Method of image processing and device thereof
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US9448636B2 (en) 2012-04-18 2016-09-20 Arb Labs Inc. Identifying gestures using gesture data compressed by PCA, principal joint variable analysis, and compressed feature matrices
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US8867786B2 (en) * 2012-10-31 2014-10-21 Microsoft Corporation Scenario-specific body-part tracking

Also Published As

Publication number Publication date
US20150186724A1 (en) 2015-07-02
EP2889724A1 (en) 2015-07-01
US9536145B2 (en) 2017-01-03
EP2889724B1 (en) 2018-03-07

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