RU2687707C2 - Определение количественных показателей для положения с использованием кадров, классифицированных посредством ассоциативной памяти - Google Patents

Определение количественных показателей для положения с использованием кадров, классифицированных посредством ассоциативной памяти Download PDF

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RU2687707C2
RU2687707C2 RU2015132214A RU2015132214A RU2687707C2 RU 2687707 C2 RU2687707 C2 RU 2687707C2 RU 2015132214 A RU2015132214 A RU 2015132214A RU 2015132214 A RU2015132214 A RU 2015132214A RU 2687707 C2 RU2687707 C2 RU 2687707C2
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individual
movements
movement
data
associative memory
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RU2015132214A
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RU2015132214A3 (enExample
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Джон Десмонд ВЕЛАН
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Зе Боинг Компани
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    • 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
    • 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
    • A61B5/1116—Determining posture transitions
    • 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
    • A61B5/1118—Determining activity level
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F12/00—Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02—Addressing or allocation; Relocation
    • G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F12/00—Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02—Addressing or allocation; Relocation
    • G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
    • G06F12/0802—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches
    • G06F12/0806—Multiuser, multiprocessor or multiprocessing cache systems
    • G06F12/0815—Cache consistency protocols
    • G06F12/0817—Cache consistency protocols using directory methods
    • G06F12/082—Associative directories
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/60—Memory management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • 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
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • 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
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Biophysics (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Image Analysis (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Image Processing (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)
RU2015132214A 2014-09-05 2015-08-03 Определение количественных показателей для положения с использованием кадров, классифицированных посредством ассоциативной памяти RU2687707C2 (ru)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/478,475 2014-09-05
US14/478,475 US9619039B2 (en) 2014-09-05 2014-09-05 Obtaining metrics for a position using frames classified by an associative memory

Publications (3)

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RU2015132214A RU2015132214A (ru) 2017-02-08
RU2015132214A3 RU2015132214A3 (enExample) 2018-11-28
RU2687707C2 true RU2687707C2 (ru) 2019-05-15

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US (1) US9619039B2 (enExample)
EP (1) EP3001281B1 (enExample)
JP (1) JP6591232B2 (enExample)
KR (1) KR102252164B1 (enExample)
CN (1) CN105404849B (enExample)
RU (1) RU2687707C2 (enExample)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2776599C2 (ru) * 2020-06-16 2022-07-22 Общество с ограниченной ответственностью "Форексис" Способ распознавания и классификации действий сотрудников ручного труда по данным с носимых устройств, оснащённых сенсорами физической активности

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10161954B2 (en) 2016-01-22 2018-12-25 Htc Corporation Motion detecting device and detecting method for repetitive motion
US20200050839A1 (en) * 2016-10-20 2020-02-13 Robo-Team Home Ltd. Human-tracking robot
US11521326B2 (en) 2018-05-23 2022-12-06 Prove Labs, Inc. Systems and methods for monitoring and evaluating body movement
JP7589744B2 (ja) * 2020-10-13 2024-11-26 日本電気株式会社 画像選択装置、画像選択方法、及びプログラム
JP7658380B2 (ja) * 2020-10-13 2025-04-08 日本電気株式会社 画像選択装置、画像選択方法、及びプログラム
KR102369151B1 (ko) * 2021-10-05 2022-03-02 아이픽셀 주식회사 동작 인식을 위한 메타 데이터 생성 시스템 및 생성 방법
WO2023084778A1 (ja) * 2021-11-15 2023-05-19 日本電気株式会社 画像処理装置、画像処理方法、およびプログラム
WO2023084780A1 (ja) * 2021-11-15 2023-05-19 日本電気株式会社 画像処理装置、画像処理方法、およびプログラム

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2280894C2 (ru) * 2001-07-18 2006-07-27 Зао Интел Распознавание жестов в динамике для последовательности стереокадров
US20080214360A1 (en) * 2006-03-03 2008-09-04 Garmin Ltd. Method and apparatus for estimating a motion parameter
US20110246123A1 (en) * 2010-03-30 2011-10-06 Welch Allyn, Inc. Personal status monitoring
US20120146789A1 (en) * 2010-12-09 2012-06-14 Nicholas De Luca Automated monitoring and control of safety in a production area
US20130278501A1 (en) * 2012-04-18 2013-10-24 Arb Labs Inc. Systems and methods of identifying a gesture using gesture data compressed by principal joint variable analysis

Family Cites Families (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4144564A (en) 1977-04-19 1979-03-13 Semionics Associates Associative memory
US4149262A (en) 1977-04-19 1979-04-10 Semionics Associates Associative memory device with variable recognition criteria
US5014327A (en) 1987-06-15 1991-05-07 Digital Equipment Corporation Parallel associative memory having improved selection and decision mechanisms for recognizing and sorting relevant patterns
JP4189298B2 (ja) 2003-10-31 2008-12-03 農工大ティー・エル・オー株式会社 乳児運動解析システム
JP4642338B2 (ja) 2003-11-04 2011-03-02 株式会社タニタ 体動測定装置
NZ533460A (en) * 2004-06-10 2006-10-27 Movement Metrics Ltd Biomechanical monitoring apparatus with motion detectors and accumulation means to indicate time period where threshold activity is exceeded
JP2005004787A (ja) * 2004-07-26 2005-01-06 Toshiba Corp 行動計測装置、電子的装置及び記録媒体
GB2426851B (en) * 2005-05-28 2007-07-18 Martin Charles Adams An occupant monitoring system for homes or offices
US7733224B2 (en) * 2006-06-30 2010-06-08 Bao Tran Mesh network personal emergency response appliance
JP2007272488A (ja) * 2006-03-31 2007-10-18 Yokogawa Electric Corp 画像処理装置、監視カメラ及び画像監視システム
KR100934225B1 (ko) * 2007-09-21 2009-12-29 한국전자통신연구원 일상생활 행위 인식을 위한 주체자의 행위 분류 보정 장치및 방법, 이를 이용한 일상생활 행위 인식 시스템
US8160981B2 (en) * 2007-09-25 2012-04-17 Saffron Technology, Inc. Event-based anticipation systems, methods and computer program products for associative memories wherein times of future events occurring are predicted
US8996332B2 (en) * 2008-06-24 2015-03-31 Dp Technologies, Inc. Program setting adjustments based on activity identification
US9060714B2 (en) 2008-12-04 2015-06-23 The Regents Of The University Of California System for detection of body motion
US8560267B2 (en) * 2009-09-15 2013-10-15 Imetrikus, Inc. Identifying one or more activities of an animate or inanimate object
US20100217533A1 (en) * 2009-02-23 2010-08-26 Laburnum Networks, Inc. Identifying a Type of Motion of an Object
EP2533693B1 (en) * 2010-02-12 2018-08-22 Koninklijke Philips N.V. Method and apparatus for processing a cyclic physiological signal
US20110275042A1 (en) * 2010-02-22 2011-11-10 Warman David J Human-motion-training system
US20110245688A1 (en) * 2010-03-31 2011-10-06 General Electric Company System and method of performing electrocardiography with motion detection
EP2585835A1 (en) 2010-06-22 2013-05-01 Stephen J. McGregor Method of monitoring human body movement
US8903521B2 (en) * 2010-08-26 2014-12-02 Blast Motion Inc. Motion capture element
US8761437B2 (en) * 2011-02-18 2014-06-24 Microsoft Corporation Motion recognition
WO2013027091A1 (en) * 2011-07-28 2013-02-28 Arb Labs Inc. Systems and methods of detecting body movements using globally generated multi-dimensional gesture data
US20130178960A1 (en) * 2012-01-10 2013-07-11 University Of Washington Through Its Center For Commercialization Systems and methods for remote monitoring of exercise performance metrics
US8914604B2 (en) * 2012-06-12 2014-12-16 The Boeing Company Creating optimal comparison criterion within associative memories
EP2703932A1 (en) * 2012-08-28 2014-03-05 SimpliFlow GmbH Personal communication device for managing individual fitness training
US9564042B2 (en) * 2013-06-13 2017-02-07 Motorola Solutions, Inc. Communication system with improved safety feature
US9576192B2 (en) * 2014-03-12 2017-02-21 Yamaha Corporation Method and apparatus for notifying motion
US9298269B2 (en) * 2014-04-10 2016-03-29 The Boeing Company Identifying movements using a motion sensing device coupled with an associative memory
US9911031B2 (en) 2014-09-05 2018-03-06 The Boeing Company Obtaining metrics for a position using frames classified by an associative memory

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2280894C2 (ru) * 2001-07-18 2006-07-27 Зао Интел Распознавание жестов в динамике для последовательности стереокадров
US20080214360A1 (en) * 2006-03-03 2008-09-04 Garmin Ltd. Method and apparatus for estimating a motion parameter
US20110246123A1 (en) * 2010-03-30 2011-10-06 Welch Allyn, Inc. Personal status monitoring
US20120146789A1 (en) * 2010-12-09 2012-06-14 Nicholas De Luca Automated monitoring and control of safety in a production area
US20130278501A1 (en) * 2012-04-18 2013-10-24 Arb Labs Inc. Systems and methods of identifying a gesture using gesture data compressed by principal joint variable analysis

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2776599C2 (ru) * 2020-06-16 2022-07-22 Общество с ограниченной ответственностью "Форексис" Способ распознавания и классификации действий сотрудников ручного труда по данным с носимых устройств, оснащённых сенсорами физической активности

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EP3001281A1 (en) 2016-03-30
JP2016058078A (ja) 2016-04-21
KR102252164B1 (ko) 2021-05-14
US9619039B2 (en) 2017-04-11
CN105404849B (zh) 2021-02-05
JP6591232B2 (ja) 2019-10-16
US20160070355A1 (en) 2016-03-10
KR20160029674A (ko) 2016-03-15
CN105404849A (zh) 2016-03-16
RU2015132214A (ru) 2017-02-08
EP3001281B1 (en) 2020-12-09
RU2015132214A3 (enExample) 2018-11-28

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