CO2022011128A2 - Sistema y método para desentrañar características específicas de usuarios, acciones y dispositivos registrados en los datos del sensor de movimiento - Google Patents

Sistema y método para desentrañar características específicas de usuarios, acciones y dispositivos registrados en los datos del sensor de movimiento

Info

Publication number
CO2022011128A2
CO2022011128A2 CONC2022/0011128A CO2022011128A CO2022011128A2 CO 2022011128 A2 CO2022011128 A2 CO 2022011128A2 CO 2022011128 A CO2022011128 A CO 2022011128A CO 2022011128 A2 CO2022011128 A2 CO 2022011128A2
Authority
CO
Colombia
Prior art keywords
segments
unraveling
actions
users
sensor data
Prior art date
Application number
CONC2022/0011128A
Other languages
English (en)
Inventor
Radu Tudor Ionescu
Nicolae-Cătălin Ristea
Cristina Mădălina Noaică
Radu-Mihai Vlad
Ionuț Dumitran
Original Assignee
Veridium Ip 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 Veridium Ip Ltd filed Critical Veridium Ip Ltd
Publication of CO2022011128A2 publication Critical patent/CO2022011128A2/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/316—User authentication by observing the pattern of computer usage, e.g. typical user behaviour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2132—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on discrimination criteria, e.g. discriminant analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • 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
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/094—Adversarial learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12—Classification; Matching
    • G06F2218/16—Classification; Matching by matching signal segments
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/086—Learning methods using evolutionary algorithms, e.g. genetic algorithms or genetic programming

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Security & Cryptography (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Social Psychology (AREA)
  • Medical Informatics (AREA)
  • Physiology (AREA)
  • Telephone Function (AREA)
  • Image Analysis (AREA)
  • Collating Specific Patterns (AREA)
  • User Interface Of Digital Computer (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

Se proporcionan métodos y sistemas para desentrañar las características discriminatorias de un usuario de un dispositivo de las señales de movimiento y autenticar a un usuario en un dispositivo móvil. En al menos un aspecto de los métodos y sistemas, cada señal de movimiento capturada se divide en segmentos. Luego, los segmentos se convierten en segmentos traducidos utilizando uno o más algoritmos de traducción entrenados. Luego, los segmentos y los segmentos traducidos se proporcionan a un sistema de aprendizaje automático. Luego, las características discriminatorias del usuario se extraen de los segmentos y los segmentos traducidos con el procesador utilizan el sistema de aprendizaje automático que aplica uno o más algoritmos de extracción de características.
CONC2022/0011128A 2020-01-06 2022-08-05 Sistema y método para desentrañar características específicas de usuarios, acciones y dispositivos registrados en los datos del sensor de movimiento CO2022011128A2 (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202062957653P 2020-01-06 2020-01-06
PCT/IB2021/050077 WO2021140450A1 (en) 2020-01-06 2021-01-06 System and method for disentangling features specific to users, actions and devices recorded in motion sensor data

Publications (1)

Publication Number Publication Date
CO2022011128A2 true CO2022011128A2 (es) 2023-07-10

Family

ID=74550697

Family Applications (1)

Application Number Title Priority Date Filing Date
CONC2022/0011128A CO2022011128A2 (es) 2020-01-06 2022-08-05 Sistema y método para desentrañar características específicas de usuarios, acciones y dispositivos registrados en los datos del sensor de movimiento

Country Status (14)

Country Link
US (1) US20210209508A1 (es)
EP (1) EP4088205B1 (es)
JP (1) JP2023509482A (es)
KR (1) KR20220123118A (es)
CN (1) CN115087973A (es)
AU (1) AU2021205292A1 (es)
CA (1) CA3166863A1 (es)
CO (1) CO2022011128A2 (es)
ES (1) ES2967932T3 (es)
MX (1) MX2022008396A (es)
PE (1) PE20221863A1 (es)
PL (1) PL4088205T3 (es)
WO (1) WO2021140450A1 (es)
ZA (1) ZA202207976B (es)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023136433A1 (ko) * 2022-01-12 2023-07-20 삼성전자 주식회사 휠체어와 관련된 운동 정보 산출 방법 및 웨어러블 디바이스
US20230377004A1 (en) * 2022-05-23 2023-11-23 Verizon Patent And Licensing Inc. Systems and methods for request validation
CN116664880B (zh) * 2023-07-31 2023-11-28 南昌大学 深度伪造反取证图像的生成方法

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11733780B2 (en) * 2018-03-16 2023-08-22 Veridium Ip Limited System and method for user recognition using motion sensor data
US10713569B2 (en) * 2018-05-31 2020-07-14 Toyota Research Institute, Inc. System and method for generating improved synthetic images
EP3841497A4 (en) * 2018-08-24 2022-04-06 Truu, Inc. MACHINE LEARNING BASED PLATFORM FOR USER IDENTIFICATION

Also Published As

Publication number Publication date
KR20220123118A (ko) 2022-09-05
AU2021205292A1 (en) 2022-08-11
MX2022008396A (es) 2022-11-30
EP4088205A1 (en) 2022-11-16
US20210209508A1 (en) 2021-07-08
CA3166863A1 (en) 2021-07-15
ZA202207976B (en) 2023-12-20
EP4088205B1 (en) 2023-11-15
WO2021140450A1 (en) 2021-07-15
CN115087973A (zh) 2022-09-20
PE20221863A1 (es) 2022-11-30
EP4088205C0 (en) 2023-11-15
PL4088205T3 (pl) 2024-03-04
JP2023509482A (ja) 2023-03-08
ES2967932T3 (es) 2024-05-06

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