DE112021006507T5 - Räumlich-zeitliches tiefes lernen für die verhaltensbiometrie - Google Patents
Räumlich-zeitliches tiefes lernen für die verhaltensbiometrie Download PDFInfo
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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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- 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
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- 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
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- 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
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- 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]
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- 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
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- 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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- General Health & Medical Sciences (AREA)
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- 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)
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- Image Analysis (AREA)
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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 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| DE112021006507T5 true DE112021006507T5 (de) | 2023-10-12 |
Family
ID=81943532
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| DE112021006507.6T Pending DE112021006507T5 (de) | 2020-12-16 | 2021-12-10 | Räumlich-zeitliches tiefes lernen für die verhaltensbiometrie |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US12019720B2 (https=) |
| JP (1) | JP7710520B2 (https=) |
| CN (1) | CN116508028B (https=) |
| DE (1) | DE112021006507T5 (https=) |
| GB (1) | GB2617940B (https=) |
| WO (1) | WO2022130147A1 (https=) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12481734B2 (en) * | 2021-04-22 | 2025-11-25 | Dell Products L.P. | Verifying a user of an information handling system |
| CN115510318A (zh) * | 2022-09-22 | 2022-12-23 | 浙江网商银行股份有限公司 | 用户表征模型的训练方法、用户表征方法及装置 |
| CN116911955B (zh) * | 2023-09-12 | 2024-01-05 | 深圳须弥云图空间科技有限公司 | 目标推荐模型的训练方法及装置 |
| 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 |
Family Cites Families (52)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008106615A1 (en) * | 2007-02-28 | 2008-09-04 | Numenta, Inc. | Spatio-temporal learning algorithms in hierarchical temporal networks |
| US8583574B2 (en) * | 2008-08-06 | 2013-11-12 | Delfigo Corporation | Method of and apparatus for combining artificial intelligence (AI) concepts with event-driven security architectures and ideas |
| US8254633B1 (en) * | 2009-04-21 | 2012-08-28 | Videomining Corporation | Method and system for finding correspondence between face camera views and behavior camera views |
| US9916538B2 (en) | 2012-09-15 | 2018-03-13 | Z Advanced Computing, Inc. | Method and system for feature detection |
| US9129158B1 (en) * | 2012-03-05 | 2015-09-08 | Hrl Laboratories, Llc | Method and system for embedding visual intelligence |
| US9396319B2 (en) * | 2013-09-30 | 2016-07-19 | Laird H. Shuart | Method of criminal profiling and person identification using cognitive/behavioral biometric fingerprint analysis |
| US20150242605A1 (en) | 2014-02-23 | 2015-08-27 | Qualcomm Incorporated | Continuous authentication with a mobile device |
| EP2990999A1 (en) * | 2014-08-29 | 2016-03-02 | Accenture Global Services Limited | A machine-learning system to optimise the performance of a biometric system |
| US10176228B2 (en) * | 2014-12-10 | 2019-01-08 | International Business Machines Corporation | Identification and evaluation of lexical answer type conditions in a question to generate correct answers |
| US9720738B2 (en) * | 2015-04-09 | 2017-08-01 | International Business Machines Corporation | Datacenter scheduling of applications using machine learning techniques |
| US10154810B2 (en) | 2015-06-14 | 2018-12-18 | Facense Ltd. | Security system that detects atypical behavior |
| US10402089B2 (en) * | 2015-07-27 | 2019-09-03 | Jordan A. Berger | Universal keyboard |
| US11334197B2 (en) * | 2015-07-27 | 2022-05-17 | Jordan A. Berger | Universal keyboard |
| KR101997479B1 (ko) * | 2015-10-20 | 2019-10-01 | 삼성전자주식회사 | 사용자 인증을 위한 생체 영역을 검출하는 방법 및 장치 |
| US9947323B2 (en) * | 2016-04-01 | 2018-04-17 | Intel Corporation | Synthetic oversampling to enhance speaker identification or verification |
| US10467394B2 (en) * | 2016-07-11 | 2019-11-05 | International Business Machines Corporation | Pointing device biometrics for continuous user authentication |
| US10614332B2 (en) * | 2016-12-16 | 2020-04-07 | Qualcomm Incorportaed | Light source modulation for iris size adjustment |
| US10467509B2 (en) * | 2017-02-14 | 2019-11-05 | Microsoft Technology Licensing, Llc | Computationally-efficient human-identifying smart assistant computer |
| US11315010B2 (en) * | 2017-04-17 | 2022-04-26 | Splunk Inc. | Neural networks for detecting fraud based on user behavior biometrics |
| EP3612984A4 (en) * | 2017-04-18 | 2021-03-24 | D5A1 Llc | MULTI-STAGE MACHINE LEARNING AND RECOGNITION |
| US20190044942A1 (en) * | 2017-08-01 | 2019-02-07 | Twosense, Inc. | Deep Learning for Behavior-Based, Invisible Multi-Factor Authentication |
| US10637662B2 (en) * | 2017-08-28 | 2020-04-28 | International Business Machines Corporation | Identity verification using biometric data and non-invertible functions via a blockchain |
| EP3480825A1 (en) * | 2017-11-03 | 2019-05-08 | Koninklijke Philips N.V. | Classifying a disease or disability of a subject |
| US10680823B2 (en) * | 2017-11-09 | 2020-06-09 | Cylance Inc. | Password-less software system user authentication |
| US10380992B2 (en) * | 2017-11-13 | 2019-08-13 | GM Global Technology Operations LLC | Natural language generation based on user speech style |
| CN108280332B (zh) * | 2017-12-15 | 2021-08-03 | 创新先进技术有限公司 | 移动终端的生物特征认证识别检测方法、装置和设备 |
| US11157832B2 (en) * | 2017-12-19 | 2021-10-26 | International Business Machines Corporation | Machine learning system for predicting optimal interruptions based on biometric data collected using wearable devices |
| US10915631B2 (en) * | 2017-12-28 | 2021-02-09 | Intel Corporation | Deep learning on execution trace data for exploit detection |
| US11197155B2 (en) * | 2017-12-28 | 2021-12-07 | Paypal, Inc. | Distributed ledger verification system using proof-of-life |
| KR102141804B1 (ko) * | 2018-01-31 | 2020-08-06 | 박성규 | 불면증 중재 서비스 제공 방법 및 그 장치 |
| US10978050B2 (en) * | 2018-02-20 | 2021-04-13 | Intellivision Technologies Corp. | Audio type detection |
| US11005839B1 (en) * | 2018-03-11 | 2021-05-11 | Acceptto Corporation | System and method to identify abnormalities to continuously measure transaction risk |
| US20190286990A1 (en) * | 2018-03-19 | 2019-09-19 | AI Certain, Inc. | Deep Learning Apparatus and Method for Predictive Analysis, Classification, and Feature Detection |
| US11055557B2 (en) * | 2018-04-05 | 2021-07-06 | Walmart Apollo, Llc | Automated extraction of product attributes from images |
| US20190311261A1 (en) * | 2018-04-10 | 2019-10-10 | Assured Information Security, Inc. | Behavioral biometric feature extraction and verification |
| US11132444B2 (en) * | 2018-04-16 | 2021-09-28 | International Business Machines Corporation | Using gradients to detect backdoors in neural networks |
| CN108965585B (zh) | 2018-06-22 | 2021-01-26 | 成都博宇科技有限公司 | 一种基于智能手机传感器的用户身份识别方法 |
| US10904246B2 (en) * | 2018-06-26 | 2021-01-26 | International Business Machines Corporation | Single channel input multi-factor authentication via separate processing pathways |
| US10873577B2 (en) * | 2018-08-17 | 2020-12-22 | Evgeny Chereshnev | Identifying and authorizing user data over a network based on biometric and statistical data |
| US12002068B2 (en) * | 2018-09-28 | 2024-06-04 | Allstate Insurance Company | Data processing system with machine learning engine to provide output generation functions |
| TR201820212A2 (tr) | 2018-12-24 | 2020-07-21 | Eczacibasi Yapi Gerecleri Sanayi Ve Ticaret Anonim Sirketi | Kullanici alişkanliklari tespi̇t ve kullanici tanimlama si̇stemi̇ ve yöntemi̇ |
| US11494597B2 (en) * | 2019-03-22 | 2022-11-08 | Sri International | Generative memory for lifelong machine learning |
| US11675325B2 (en) * | 2019-04-04 | 2023-06-13 | Schlumberger Technology Corporation | Cutter/rock interaction modeling |
| KR102216158B1 (ko) | 2019-05-02 | 2021-02-15 | 연세대학교 산학협력단 | 복수의 컴퓨팅 장치에 내장된 센서를 활용한 사용자 인증 시스템 |
| US12314362B2 (en) * | 2019-07-16 | 2025-05-27 | British Telecommunications Public Limited Company | User authentication based on behavioral biometrics |
| US10832554B1 (en) * | 2019-11-13 | 2020-11-10 | International Business Machines Corporation | Sensor vectors based on activations of sensors with attributes |
| US20210158057A1 (en) * | 2019-11-26 | 2021-05-27 | Scanalytics, Inc. | Path analytics of people in a physical space using smart floor tiles |
| US10951606B1 (en) * | 2019-12-04 | 2021-03-16 | Acceptto Corporation | Continuous authentication through orchestration and risk calculation post-authorization system and method |
| US12248544B2 (en) * | 2020-02-20 | 2025-03-11 | Hewlett-Packard Development Company, L.P. | User authentication based on biometric data |
| CN111400620B (zh) * | 2020-03-27 | 2021-08-03 | 东北大学 | 基于时空嵌入Self-Attention的用户轨迹位置预测方法 |
| US11637835B2 (en) * | 2020-06-17 | 2023-04-25 | Irdeto B.V. | System and method for context-sensitive access control |
| CN114639143B (zh) * | 2022-03-07 | 2024-04-16 | 北京百度网讯科技有限公司 | 基于人工智能的人像归档方法、设备及存储介质 |
-
2020
- 2020-12-16 US US17/123,821 patent/US12019720B2/en active Active
-
2021
- 2021-12-10 DE DE112021006507.6T patent/DE112021006507T5/de active Pending
- 2021-12-10 WO PCT/IB2021/061560 patent/WO2022130147A1/en not_active Ceased
- 2021-12-10 CN CN202180079195.1A patent/CN116508028B/zh active Active
- 2021-12-10 JP JP2023535704A patent/JP7710520B2/ja active Active
- 2021-12-10 GB GB2310287.4A patent/GB2617940B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| 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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Legal Events
| Date | Code | Title | Description |
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| R012 | Request for examination validly filed | ||
| R084 | Declaration of willingness to licence | ||
| R016 | Response to examination communication |