GB2617940B - Spatiotemporal deep learning for behavioral biometrics - Google Patents

Spatiotemporal deep learning for behavioral biometrics Download PDF

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Publication number
GB2617940B
GB2617940B GB2310287.4A GB202310287A GB2617940B GB 2617940 B GB2617940 B GB 2617940B GB 202310287 A GB202310287 A GB 202310287A GB 2617940 B GB2617940 B GB 2617940B
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spatiotemporal
deep learning
behavioral biometrics
biometrics
behavioral
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GB2617940A (en
GB202310287D0 (en
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Lee Taesung
Michael Molloy Ian
Park Youngja
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International Business Machines Corp
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International Business Machines Corp
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • 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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GB2310287.4A 2020-12-16 2021-12-10 Spatiotemporal deep learning for behavioral biometrics Active GB2617940B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
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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GB202310287D0 GB202310287D0 (en) 2023-08-16
GB2617940A GB2617940A (en) 2023-10-25
GB2617940B true GB2617940B (en) 2024-01-17

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

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CN119851343A (zh) * 2024-12-18 2025-04-18 南京邮电大学 一种基于视频步态的疲劳检测方法

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CN116508028B (zh) 2026-02-03
CN116508028A (zh) 2023-07-28
JP7710520B2 (ja) 2025-07-18
DE112021006507T5 (de) 2023-10-12
WO2022130147A1 (en) 2022-06-23
GB2617940A (en) 2023-10-25
JP2023554336A (ja) 2023-12-27
GB202310287D0 (en) 2023-08-16
US20220188390A1 (en) 2022-06-16
US12019720B2 (en) 2024-06-25

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