CO2019007645A2 - Capacitación automatizada de tiempo de actividad - Google Patents

Capacitación automatizada de tiempo de actividad

Info

Publication number
CO2019007645A2
CO2019007645A2 CONC2019/0007645A CO2019007645A CO2019007645A2 CO 2019007645 A2 CO2019007645 A2 CO 2019007645A2 CO 2019007645 A CO2019007645 A CO 2019007645A CO 2019007645 A2 CO2019007645 A2 CO 2019007645A2
Authority
CO
Colombia
Prior art keywords
actor
activity
training
representation
activity time
Prior art date
Application number
CONC2019/0007645A
Other languages
English (en)
Inventor
Robin Abraham
Victor Zhu
Liang Du
Ning Zhou
Pramod Kumar Sharma
Ishani Chakraborty
Vijay Mital
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 CO2019007645A2 publication Critical patent/CO2019007645A2/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life
    • G06N3/006Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00Teaching not covered by other main groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Biophysics (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • Image Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Manipulator (AREA)
  • User Interface Of Digital Computer (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Robotics (AREA)
  • Inks, Pencil-Leads, Or Crayons (AREA)

Abstract

Capacitar automáticamente a un actor cuando se produce una condición física con respecto a ese actor. Al detectar que el actor tiene la condición física (por ejemplo, se está involucrando o está a punto de participar en una actividad física), el sistema determina que se debe proporcionar capacitación para esa actividad. Al determinar que la capacitación se proporcionará, el sistema envía automáticamente la capacitación. Por ejemplo, el sistema puede hacer que se envíe un humano o robot al actor para mostrarle cómo realizar la actividad. Alternativamente, o en su lugar, se puede enviar una representación de un segmento de señal al actor. La representación que proporciona la capacitación al actor puede incluir un objetivo de trabajo similar al que el actor está dirigido actualmente por la actividad. La representación también puede incluir una representación de una persona que participó correctamente en la actividad anterior.
CONC2019/0007645A 2017-01-18 2019-07-16 Capacitación automatizada de tiempo de actividad CO2019007645A2 (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762447825P 2017-01-18 2017-01-18
US15/436,683 US20180204108A1 (en) 2017-01-18 2017-02-17 Automated activity-time training
PCT/US2018/013429 WO2018136316A1 (en) 2017-01-18 2018-01-12 Automated activity-time training

Publications (1)

Publication Number Publication Date
CO2019007645A2 true CO2019007645A2 (es) 2019-07-31

Family

ID=62841625

Family Applications (1)

Application Number Title Priority Date Filing Date
CONC2019/0007645A CO2019007645A2 (es) 2017-01-18 2019-07-16 Capacitación automatizada de tiempo de actividad

Country Status (16)

Country Link
US (1) US20180204108A1 (es)
EP (1) EP3571687A1 (es)
JP (1) JP2020518841A (es)
KR (1) KR20190103222A (es)
CN (1) CN110192236A (es)
AU (1) AU2018209914A1 (es)
BR (1) BR112019013490A2 (es)
CA (1) CA3046348A1 (es)
CL (1) CL2019001930A1 (es)
CO (1) CO2019007645A2 (es)
IL (1) IL267903A (es)
MX (1) MX2019008498A (es)
PH (1) PH12019550120A1 (es)
RU (1) RU2019125864A (es)
SG (1) SG11201905454PA (es)
WO (1) WO2018136316A1 (es)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109344921B (zh) * 2019-01-03 2019-04-23 湖南极点智能科技有限公司 一种基于深度神经网络模型的图像识别方法、装置及设备
CN112201116B (zh) * 2020-09-29 2022-08-05 深圳市优必选科技股份有限公司 一种逻辑板识别方法、装置及终端设备
CN113780839B (zh) * 2021-09-15 2023-08-22 湖南视比特机器人有限公司 基于深度强化学习的演化式分拣作业调度方法及***

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US6503086B1 (en) * 2000-04-25 2003-01-07 Michael M. Golubov Body motion teaching system
US8213680B2 (en) * 2010-03-19 2012-07-03 Microsoft Corporation Proxy training data for human body tracking
US9607652B2 (en) * 2010-08-26 2017-03-28 Blast Motion Inc. Multi-sensor event detection and tagging system
US20130054021A1 (en) * 2011-08-26 2013-02-28 Disney Enterprises, Inc. Robotic controller that realizes human-like responses to unexpected disturbances
US20160081594A1 (en) * 2013-03-13 2016-03-24 Virtusense Technologies Range of motion system, and method
US9384443B2 (en) * 2013-06-14 2016-07-05 Brain Corporation Robotic training apparatus and methods
US9183466B2 (en) * 2013-06-15 2015-11-10 Purdue Research Foundation Correlating videos and sentences
US9135347B2 (en) * 2013-12-18 2015-09-15 Assess2Perform, LLC Exercise tracking and analysis systems and related methods of use
EP2924676A1 (en) * 2014-03-25 2015-09-30 Oticon A/s Hearing-based adaptive training systems
US20150278263A1 (en) * 2014-03-25 2015-10-01 Brian Bowles Activity environment and data system for user activity processing
US9573035B2 (en) * 2014-04-25 2017-02-21 Christopher DeCarlo Athletic training data collection dynamic goal and personified sporting goal method apparatus system and computer program product
US20180295419A1 (en) * 2015-01-07 2018-10-11 Visyn Inc. System and method for visual-based training
US10514687B2 (en) * 2015-01-08 2019-12-24 Rethink Robotics Gmbh Hybrid training with collaborative and conventional robots
AU2016297852C1 (en) * 2015-07-24 2019-12-05 Deepmind Technologies Limited Continuous control with deep reinforcement learning
US9818032B2 (en) * 2015-10-28 2017-11-14 Intel Corporation Automatic video summarization
DE112017003558T5 (de) * 2016-07-12 2019-05-09 St Electronics (Training & Simulation Systems) Intelligenter trainer für taktische einsätze
US10902343B2 (en) * 2016-09-30 2021-01-26 Disney Enterprises, Inc. Deep-learning motion priors for full-body performance capture in real-time

Also Published As

Publication number Publication date
PH12019550120A1 (en) 2020-02-10
US20180204108A1 (en) 2018-07-19
IL267903A (en) 2019-09-26
AU2018209914A1 (en) 2019-07-04
KR20190103222A (ko) 2019-09-04
BR112019013490A2 (pt) 2020-01-07
CN110192236A (zh) 2019-08-30
JP2020518841A (ja) 2020-06-25
CL2019001930A1 (es) 2019-11-29
WO2018136316A1 (en) 2018-07-26
CA3046348A1 (en) 2018-07-26
SG11201905454PA (en) 2019-08-27
EP3571687A1 (en) 2019-11-27
MX2019008498A (es) 2019-09-10
RU2019125864A (ru) 2021-02-19

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