DE112021006507T5 - Räumlich-zeitliches tiefes lernen für die verhaltensbiometrie - Google Patents

Räumlich-zeitliches tiefes lernen für die verhaltensbiometrie Download PDF

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DE112021006507T5
DE112021006507T5 DE112021006507.6T DE112021006507T DE112021006507T5 DE 112021006507 T5 DE112021006507 T5 DE 112021006507T5 DE 112021006507 T DE112021006507 T DE 112021006507T DE 112021006507 T5 DE112021006507 T5 DE 112021006507T5
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Taesung Lee
Ian Michael Molloy
Youngja Park
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International Business Machines Corp
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • G06N3/0442Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning

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  • Theoretical Computer Science (AREA)
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  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
  • Collating Specific Patterns (AREA)
  • Image Analysis (AREA)
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DE112021006507.6T 2020-12-16 2021-12-10 Räumlich-zeitliches tiefes lernen für die verhaltensbiometrie Pending DE112021006507T5 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US17/123,821 2020-12-16
US17/123,821 US12019720B2 (en) 2020-12-16 2020-12-16 Spatiotemporal deep learning for behavioral biometrics
PCT/IB2021/061560 WO2022130147A1 (en) 2020-12-16 2021-12-10 Spatiotemporal deep learning for behavioral biometrics

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DE112021006507T5 true DE112021006507T5 (de) 2023-10-12

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US (1) US12019720B2 (https=)
JP (1) JP7710520B2 (https=)
CN (1) CN116508028B (https=)
DE (1) DE112021006507T5 (https=)
GB (1) GB2617940B (https=)
WO (1) WO2022130147A1 (https=)

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US12019720B2 (en) 2024-06-25
GB202310287D0 (en) 2023-08-16
CN116508028A (zh) 2023-07-28
GB2617940B (en) 2024-01-17
JP2023554336A (ja) 2023-12-27
GB2617940A (en) 2023-10-25
JP7710520B2 (ja) 2025-07-18
CN116508028B (zh) 2026-02-03
US20220188390A1 (en) 2022-06-16
WO2022130147A1 (en) 2022-06-23

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