BR112017003220A2 - processamento de vídeo para análise de tarefas motoras - Google Patents

processamento de vídeo para análise de tarefas motoras

Info

Publication number
BR112017003220A2
BR112017003220A2 BR112017003220A BR112017003220A BR112017003220A2 BR 112017003220 A2 BR112017003220 A2 BR 112017003220A2 BR 112017003220 A BR112017003220 A BR 112017003220A BR 112017003220 A BR112017003220 A BR 112017003220A BR 112017003220 A2 BR112017003220 A2 BR 112017003220A2
Authority
BR
Brazil
Prior art keywords
motor task
machine learning
learning system
video
video processing
Prior art date
Application number
BR112017003220A
Other languages
English (en)
Other versions
BR112017003220B1 (pt
BR112017003220A8 (pt
Inventor
Criminisi Antonio
Zikic Darko
Dorn Jonas
Kontschieder Peter
Original Assignee
Microsoft Technology Licensing Llc
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 Microsoft Technology Licensing Llc filed Critical Microsoft Technology Licensing Llc
Publication of BR112017003220A2 publication Critical patent/BR112017003220A2/pt
Publication of BR112017003220A8 publication Critical patent/BR112017003220A8/pt
Publication of BR112017003220B1 publication Critical patent/BR112017003220B1/pt

Links

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
    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—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
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
    • G06F16/9566—URL specific, e.g. using aliases, detecting broken or misspelled links
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G06F18/24155—Bayesian classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • 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
    • G06N5/025—Extracting rules from data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/44—Event detection
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture

Abstract

a presente invenção se refere a um processamento de vídeo para análise de tarefas motoras. em vários exemplos, um vídeo de pelo menos uma parte de uma pessoa ou animal executando uma tarefa motora, tal como colocando o dedo indicador sobre o nariz, é enviado para um sistema de aprendizado de máquina treinada para classificar a tarefa motora em uma dentre uma pluralidade de classes. em um exemplo, descritores de movimento, tais como um fluxo óptico, são calculados a partir de pares de quadros de vídeo, e os descritores de movimento são enviados para o sistema de aprendizado de máquina. por exemplo, durante o treinamento, o sistema de aprendizado de máquina identifica características de aceleração ou velocidade dependentes de posição e/ou dependentes do tempo, características essas que discriminam entre classes de tarefas motoras. nos exemplos, o sistema de aprendizado de máquina treinada calcula, a partir dos descritores de movimento, as características de aceleração ou velocidade que aprendeu como sendo bons discriminadores. em vários exemplos, uma característica é calculada usando subvolumes do vídeo.
BR112017003220-1A 2014-09-09 2015-09-07 Método implementado por computador, meio de armazenamento de computador e classificador de tarefa motora para processamento de vídeo para análise de tarefas motoras BR112017003220B1 (pt)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201462048132P 2014-09-09 2014-09-09
US62/048,132 2014-09-09
US14/536,660 US10083233B2 (en) 2014-09-09 2014-11-09 Video processing for motor task analysis
US14/536,660 2014-11-09
PCT/US2015/048753 WO2016040207A1 (en) 2014-09-09 2015-09-07 Video processing for motor task analysis

Publications (3)

Publication Number Publication Date
BR112017003220A2 true BR112017003220A2 (pt) 2017-11-28
BR112017003220A8 BR112017003220A8 (pt) 2023-03-07
BR112017003220B1 BR112017003220B1 (pt) 2024-04-16

Family

ID=

Also Published As

Publication number Publication date
JP2017533790A (ja) 2017-11-16
EP4002385A2 (en) 2022-05-25
CN106663126A (zh) 2017-05-10
AU2018250385A1 (en) 2018-11-08
KR20170052628A (ko) 2017-05-12
EP3191986A2 (en) 2017-07-19
US10776423B2 (en) 2020-09-15
WO2016040207A1 (en) 2016-03-17
US20170293805A1 (en) 2017-10-12
AU2018250385B2 (en) 2020-10-15
WO2016038516A2 (en) 2016-03-17
CA2960584A1 (en) 2016-03-17
US20160071284A1 (en) 2016-03-10
WO2016038516A3 (en) 2016-06-23
EP4002385A3 (en) 2022-08-03
IL250855A0 (en) 2017-04-30
EP3191989B1 (en) 2021-12-29
EP3191989A1 (en) 2017-07-19
BR112017003220A8 (pt) 2023-03-07
US10083233B2 (en) 2018-09-25
AU2015313891A1 (en) 2017-03-23
BR112017004663A2 (pt) 2017-12-05

Similar Documents

Publication Publication Date Title
BR112017004663A2 (pt) sistema e método de análise de tarefas motoras
BR112015011892A2 (pt) alocação de recursos para aprendizado de máquina
BR112018013550A2 (pt) identificação de entidades utilizando um modelo de aprendizado profundo
BR112017009806A2 (pt) sistema e método para gerar informações de nível de estresse e de nível de resiliência de estresse para um indivíduo
EP3009959A3 (en) Identifying content of interest
BR112016029932A2 (pt) classificação de toque
BR112017007752A2 (pt) sistema, dispositivo e método de processamento de interação por toque
MX367510B (es) Sistemas y metodos para la clasificacion de imagen al correlacionar indicaciones contextuales con imagenes.
WO2015200110A3 (en) Techniques for machine language translation of text from an image based on non-textual context information from the image
BR112014026626A2 (pt) criação de grupos de rede social
BR112019000188A2 (pt) método implementado por computador, meio não transitório, legível por computador e sistema implementado por computador
BR112015017859A8 (pt) Método e dispositivo para agrupar imagens
BR112017023839A2 (pt) métodos para purificar 1,4-diaminobutano
FR3022662B1 (fr) Dispositif d'identification biometrique
BR112018012148A2 (pt) processo e sistema para determinação ao vivo de um aparelho esportivo
BR112016021977A2 (pt) Método e sistema para identificar número de contêiner
佘阿莉 A Brief Introduction to SLA Theories
TH180255A (th) กระบวนการสกัดแอสตาแซนทินจากยีสต์ด้วยวิธีการสกัดแบบ ซูเปอร์คริติคัลคาร์บอนไดออกไซด์
TH175575A (th) "กรรมวิธีสำหรับการปรับปรุงการทำให้เกิดผลได้ของโมโนแซคคาไรด์ในวุ้น โดยการใช้พรีทรีตเมนท์สารละลายบัฟเฟอร์"
TH160525A (th) วิธีการสำหรับการผลิตฟิล์มเรซินที่มาจากกรดพอลิแลคติค
TH140318S (th) ที่ยึดอุปกรณ์เก็บสำรองเลือด
IN2014MU03898A (pt)
TH176971A (th) องค์ประกอบและวิธีการของการเพิ่มการตอบสนองทางภูมิคุ้มกันต่อไอมีเรีย(Eimeria) หรือการจำกัดการติดเชื้อไอมีเรีย
TH162442A (th) กระบวนการสำหรับการผลิตสารละลายไฮโดรเจนเปอร์ออกไซด์แอคเควียส ที่ถูกทำให้บริสุทธิ์
TH181823A (th) การทำอันตรกิริยาของบีตาโนดาไวรัสการติดเชื้อ

Legal Events

Date Code Title Description
B06U Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]
B07A Application suspended after technical examination (opinion) [chapter 7.1 patent gazette]
B15K Others concerning applications: alteration of classification

Free format text: AS CLASSIFICACOES ANTERIORES ERAM: G06F 19/00 , G06F 17/30 , G06T 7/20

Ipc: G06F 16/783 (2019.01), G06F 16/955 (2019.01), G06F

B06A Patent application procedure suspended [chapter 6.1 patent gazette]
B09A Decision: intention to grant [chapter 9.1 patent gazette]
B16A Patent or certificate of addition of invention granted [chapter 16.1 patent gazette]

Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 07/09/2015, OBSERVADAS AS CONDICOES LEGAIS