JPWO2021044249A1 - - Google Patents
Info
- Publication number
- JPWO2021044249A1 JPWO2021044249A1 JP2021543605A JP2021543605A JPWO2021044249A1 JP WO2021044249 A1 JPWO2021044249 A1 JP WO2021044249A1 JP 2021543605 A JP2021543605 A JP 2021543605A JP 2021543605 A JP2021543605 A JP 2021543605A JP WO2021044249 A1 JPWO2021044249 A1 JP WO2021044249A1
- Authority
- JP
- Japan
- Legal status (The legal status 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 status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
- G06V40/176—Dynamic expression
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/11—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring interpupillary distance or diameter of pupils
- A61B3/112—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring interpupillary distance or diameter of pupils for measuring diameter of pupils
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
-
- 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
- G06N3/045—Combinations of 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
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder 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
- G06N3/0464—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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0475—Generative 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
- G06N3/08—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
-
- 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
- G06N3/094—Adversarial learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
- A61B5/1103—Detecting muscular movement of the eye, e.g. eyelid movement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/168—Evaluating attention deficit, hyperactivity
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20061—Hough transform
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Ophthalmology & Optometry (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Psychiatry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Geometry (AREA)
- Child & Adolescent Psychology (AREA)
- Educational Technology (AREA)
- Hospice & Palliative Care (AREA)
- Psychology (AREA)
- Social Psychology (AREA)
- Pathology (AREA)
- Developmental Disabilities (AREA)
- Image Analysis (AREA)
- Traffic Control Systems (AREA)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2024150460A JP7836865B2 (ja) | 2019-09-06 | 2024-09-02 | 情報処理装置 |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2019162687 | 2019-09-06 | ||
| JP2019162687 | 2019-09-06 | ||
| PCT/IB2020/057918 WO2021044249A1 (ja) | 2019-09-06 | 2020-08-25 | 情報処理装置 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2024150460A Division JP7836865B2 (ja) | 2019-09-06 | 2024-09-02 | 情報処理装置 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021044249A1 true JPWO2021044249A1 (https=) | 2021-03-11 |
| JPWO2021044249A5 JPWO2021044249A5 (https=) | 2023-08-31 |
| JP7548914B2 JP7548914B2 (ja) | 2024-09-10 |
Family
ID=74852843
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021543605A Active JP7548914B2 (ja) | 2019-09-06 | 2020-08-25 | 情報処理装置 |
| JP2024150460A Active JP7836865B2 (ja) | 2019-09-06 | 2024-09-02 | 情報処理装置 |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2024150460A Active JP7836865B2 (ja) | 2019-09-06 | 2024-09-02 | 情報処理装置 |
Country Status (3)
| Country | Link |
|---|---|
| US (2) | US12333859B2 (https=) |
| JP (2) | JP7548914B2 (https=) |
| WO (1) | WO2021044249A1 (https=) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017083567A1 (en) | 2015-11-10 | 2017-05-18 | Diagnosys LLC | Method and apparatus for the assessment of electrophysiological signals |
| WO2023023226A2 (en) * | 2021-08-18 | 2023-02-23 | Diagnosys LLC | System comprising integrated dichoptic flash and pupillometry monitoring, and method for using the same |
| KR102615650B1 (ko) * | 2022-08-09 | 2023-12-20 | 저지앙 대학 | 생성적 적대 신경망 기반의 군중 이동 예측 방법 |
| CN115937595A (zh) * | 2022-12-20 | 2023-04-07 | 中交公路长大桥建设国家工程研究中心有限公司 | 一种基于智能数据处理的桥梁表观异常识别方法及系统 |
| CN117077086B (zh) * | 2023-07-25 | 2024-12-27 | 中国人民解放军空军军医大学 | 一种超前脑疲劳预警系统、设备和存储介质 |
Citations (12)
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| JPH09218375A (ja) * | 1996-02-08 | 1997-08-19 | Canon Inc | 疲労判定方法及びそれを用いた観察装置 |
| KR100224889B1 (ko) * | 1996-11-18 | 1999-10-15 | 윤종용 | 디스크 플레이어의 디스크 트레이 위치 감지장치 |
| JP2007295946A (ja) * | 2006-04-27 | 2007-11-15 | Konica Minolta Holdings Inc | 酒気帯び検知システム及び酒気帯び検知方法 |
| JP2012212990A (ja) * | 2011-03-30 | 2012-11-01 | Brother Ind Ltd | ヘッドマウントディスプレイ |
| KR101224889B1 (ko) * | 2012-07-03 | 2013-01-22 | 한국해양과학기술원 | 선원 피로도 측정 방법 및 장치 |
| CN104013414A (zh) * | 2014-04-30 | 2014-09-03 | 南京车锐信息科技有限公司 | 一种基于移动智能手机的驾驶员疲劳检测系统 |
| JP2015132783A (ja) * | 2014-01-16 | 2015-07-23 | 日本電信電話株式会社 | 音の顕著度推定装置、その方法、及びプログラム |
| CN105354985A (zh) * | 2015-11-04 | 2016-02-24 | 中国科学院上海高等研究院 | 疲劳驾驶监控装置及方法 |
| CN105513278A (zh) * | 2014-09-23 | 2016-04-20 | 付宁婧 | 一种汽车疲劳驾驶预警器 |
| CN106137181A (zh) * | 2015-04-13 | 2016-11-23 | 上海帝仪科技有限公司 | 用于获取用户的疲劳特征的系统、方法和设备 |
| KR20170049997A (ko) * | 2015-10-29 | 2017-05-11 | 에스케이플래닛 주식회사 | 안구 상태로부터 피로도를 판단하여 추천장소를 제공하는 웨어러블 디바이스, 추천장소 제공서버 및 방법 |
| US20190073533A1 (en) * | 2017-09-01 | 2019-03-07 | Magic Leap, Inc. | Detailed eye shape model for robust biometric applications |
Family Cites Families (21)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP4971340B2 (ja) | 2007-03-29 | 2012-07-11 | パナソニック株式会社 | 炭化珪素半導体素子の製造方法 |
| JP4974788B2 (ja) | 2007-06-29 | 2012-07-11 | キヤノン株式会社 | 画像処理装置、画像処理方法、プログラム、及び記憶媒体 |
| KR20120093952A (ko) | 2009-11-06 | 2012-08-23 | 가부시키가이샤 한도오따이 에네루기 켄큐쇼 | 반도체 소자 및 반도체 장치 제조 방법과, 성막 장치 |
| JP2012073876A (ja) * | 2010-09-29 | 2012-04-12 | Fujitsu Ltd | 電子機器、状態制御プログラム、および状態制御方法 |
| EP2807605A2 (en) * | 2012-01-26 | 2014-12-03 | Umoove Services Ltd. | Eye tracking |
| JP5829590B2 (ja) | 2012-09-10 | 2015-12-09 | 日本電信電話株式会社 | 疲労感評価装置、疲労感評価方法、及びプログラム |
| WO2014046222A1 (en) | 2012-09-24 | 2014-03-27 | Semiconductor Energy Laboratory Co., Ltd. | Display device |
| JP6582604B2 (ja) * | 2015-06-23 | 2019-10-02 | 富士通株式会社 | 瞳孔検出プログラム、瞳孔検出方法、瞳孔検出装置および視線検出システム |
| US9888845B2 (en) * | 2015-06-30 | 2018-02-13 | Antonio Visconti | System and method for optical detection of cognitive impairment |
| JP2017064325A (ja) * | 2015-10-02 | 2017-04-06 | 富士通株式会社 | 縮瞳検出方法及び縮瞳検出装置 |
| US11194405B2 (en) | 2015-10-08 | 2021-12-07 | Panasonic Intellectual Property Corporation Of America | Method for controlling information display apparatus, and information display apparatus |
| JP2017130201A (ja) | 2016-01-20 | 2017-07-27 | 株式会社半導体エネルギー研究所 | 入力システム、および電子機器 |
| JP6714402B2 (ja) | 2016-03-18 | 2020-06-24 | 国立大学法人大阪大学 | 眼疲労検査装置及び眼疲労検査方法 |
| WO2018020368A1 (en) | 2016-07-29 | 2018-02-01 | Semiconductor Energy Laboratory Co., Ltd. | Display method, display device, electronic device, non-temporary memory medium, and program |
| US20190159716A1 (en) | 2016-08-03 | 2019-05-30 | Akili Interactive Labs, Inc. | Cognitive platform including computerized evocative elements |
| US11049147B2 (en) | 2016-09-09 | 2021-06-29 | Sony Corporation | System and method for providing recommendation on an electronic device based on emotional state detection |
| WO2018100875A1 (ja) * | 2016-11-30 | 2018-06-07 | ソニー株式会社 | 情報処理装置、情報処理方法およびプログラム |
| WO2019025895A1 (ja) | 2017-07-31 | 2019-02-07 | 株式会社半導体エネルギー研究所 | 表示装置 |
| CN111372735A (zh) * | 2017-11-17 | 2020-07-03 | 三菱电机株式会社 | 3维空间监视装置、3维空间监视方法及3维空间监视程序 |
| JP7350735B2 (ja) | 2018-06-22 | 2023-09-26 | 株式会社半導体エネルギー研究所 | 画像表示装置 |
| JP7014129B2 (ja) * | 2018-10-29 | 2022-02-01 | オムロン株式会社 | 推定器生成装置、モニタリング装置、推定器生成方法及び推定器生成プログラム |
-
2020
- 2020-08-25 JP JP2021543605A patent/JP7548914B2/ja active Active
- 2020-08-25 WO PCT/IB2020/057918 patent/WO2021044249A1/ja not_active Ceased
- 2020-08-25 US US17/638,359 patent/US12333859B2/en active Active
-
2024
- 2024-09-02 JP JP2024150460A patent/JP7836865B2/ja active Active
-
2025
- 2025-05-22 US US19/215,713 patent/US20250329192A1/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09218375A (ja) * | 1996-02-08 | 1997-08-19 | Canon Inc | 疲労判定方法及びそれを用いた観察装置 |
| KR100224889B1 (ko) * | 1996-11-18 | 1999-10-15 | 윤종용 | 디스크 플레이어의 디스크 트레이 위치 감지장치 |
| JP2007295946A (ja) * | 2006-04-27 | 2007-11-15 | Konica Minolta Holdings Inc | 酒気帯び検知システム及び酒気帯び検知方法 |
| JP2012212990A (ja) * | 2011-03-30 | 2012-11-01 | Brother Ind Ltd | ヘッドマウントディスプレイ |
| KR101224889B1 (ko) * | 2012-07-03 | 2013-01-22 | 한국해양과학기술원 | 선원 피로도 측정 방법 및 장치 |
| JP2015132783A (ja) * | 2014-01-16 | 2015-07-23 | 日本電信電話株式会社 | 音の顕著度推定装置、その方法、及びプログラム |
| CN104013414A (zh) * | 2014-04-30 | 2014-09-03 | 南京车锐信息科技有限公司 | 一种基于移动智能手机的驾驶员疲劳检测系统 |
| CN105513278A (zh) * | 2014-09-23 | 2016-04-20 | 付宁婧 | 一种汽车疲劳驾驶预警器 |
| CN106137181A (zh) * | 2015-04-13 | 2016-11-23 | 上海帝仪科技有限公司 | 用于获取用户的疲劳特征的系统、方法和设备 |
| KR20170049997A (ko) * | 2015-10-29 | 2017-05-11 | 에스케이플래닛 주식회사 | 안구 상태로부터 피로도를 판단하여 추천장소를 제공하는 웨어러블 디바이스, 추천장소 제공서버 및 방법 |
| CN105354985A (zh) * | 2015-11-04 | 2016-02-24 | 中国科学院上海高等研究院 | 疲劳驾驶监控装置及方法 |
| US20190073533A1 (en) * | 2017-09-01 | 2019-03-07 | Magic Leap, Inc. | Detailed eye shape model for robust biometric applications |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2024161623A (ja) | 2024-11-19 |
| JP7836865B2 (ja) | 2026-03-27 |
| US12333859B2 (en) | 2025-06-17 |
| US20250329192A1 (en) | 2025-10-23 |
| JP7548914B2 (ja) | 2024-09-10 |
| WO2021044249A1 (ja) | 2021-03-11 |
| US20220292880A1 (en) | 2022-09-15 |
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