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公开(公告)号：KR1020170109850A
公开(公告)日：2017-10-10
申请号：KR1020160033969
申请日：2016-03-22
Applicant: 한국전자통신연구원
IPC: G06F3/01 , A61B5/024 , A61B5/0478 , A61B5/00
Abstract: 생체신호를이용한기기제어장치및 방법이개시된다. 본발명의일실시예에따른생체신호를이용한기기제어장치는 2개의뇌파센서전극이이마좌, 우에부착되어, 전두엽부위의뇌파를측정하는뇌파센서부; 1개의맥파센서전극을이마부위에부착되어, 혈류량의변화에기반하여심박수를측정하는맥파센서부; 2개의피부전도도센서전극이이마좌, 우에부착되어, 사용자의각성상태및 감정변화의기복에기반하여피부전도도를측정하는피부전도도센서부; 상기뇌파, 심박수및 피부전도도중 어느하나이상의신호들을송신하는신호송신부; 상기신호들을수신하는신호수신부; 상기신호들을전처리하여특징벡터를생성하는특징벡터생성부; 기계학습을이용하여상기특징벡터와대응되는제어명령을정의하는기계학습부및 상기제어명령을제어하고자하는기기에전송하는명령전송부를포함한다.
Abstract translation: 公开了一种使用生物信号的设备控制装置和方法。 根据本发明实施例的用于使用生物信号控制装置的设备包括：EEG传感器单元，用于将两个EEG传感器电极附接到左右前额并测量额叶区域的EEG; 1.一种脉搏波传感器单元，其通过一个脉搏波传感器安装在脉搏波传感器电极上，并基于血流量的变化来测量心率; 根据用户觉醒状态和情绪变化的觉醒状态，将两个皮肤电导率传感器电极连接到左右前额以测量皮肤电导率; 信号发射器，用于发射EEG信号，心率和皮肤电导率; 信号接收单元，用于接收信号; 特征矢量生成单元，用于对信号进行预处理以生成特征矢量; 机器学习单元，其使用机器学习来定义与特征向量相对应的控制命令;以及指令发送单元，其将控制指令发送到要被控制的设备。
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公开(公告)号：KR1020150081824A
公开(公告)日：2015-07-15
申请号：KR1020140001712
申请日：2014-01-07
Applicant: 한국전자통신연구원
IPC: H04N21/45 , H04N21/4227
CPC classification number: H04N21/45 , G06K9/00221 , G06K9/00362 , H04N2005/44517
Abstract: 본발명에따른사용자감정기반디지털멀티미디어제어장치및 그방법은디지털멀티미디어장치에서사용자의감정및 현재상태를능동적으로인식하고이를통해멀티미디어장치를적절하게제어하여사용자가좀 더편안하게멀티미디어를시청할수 있도록한 것으로서, 상기제어장치는, 사용자의영상신호및 음성신호를입력하는입력부; 상기입력부를통해입력되는사용자의영상신호및 음성신호를이용하여사용자의현재감정상태를인식하는감정인식부; 및상기감정인식부를통해인식된사용자의감정상태에따라멀티미디어장치를제어하는제어부를포함한다.
Abstract translation: 本发明涉及一种基于用户情绪控制数字多媒体的装置及其方法，其主动地识别用户在数字多媒体设备中的情感和当前状态，从而用户可以更方便地观看多媒体，控制 多媒体设备，其中控制设备包括：用于输入用户的图像信号和语音信号的输入单元; 情感识别单元，用于使用经由输入单元输入的图像信号和用户的语音信号来识别用户的当前情绪状态; 以及控制单元，其根据通过情绪识别单元识别的用户的情感状态来控制多媒体设备。
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公开(公告)号：KR1020130108784A
公开(公告)日：2013-10-07
申请号：KR1020120030508
申请日：2012-03-26
Applicant: 한국전자통신연구원
Abstract: PURPOSE: Automotive headlight control device and method are provided to automatically control the brightness of an automotive headlight by using the front image information photographed in a front camera. CONSTITUTION: A pedestrian detection unit (230) detects the entire body and the entire face of a pedestrian from image information photographing the front of a car. A judgment configuration unit (270) judges existence of pedestrian in the front of a car based on the entire body and the entire face of the detected pedestrian and a current driving speed of the car, and configures a brightness value of the headlight with a tail lamp if a pedestrian exists. A control unit (290) controls the brightness of the headlight according to the configured brightness value. [Reference numerals] (210) Image input unit; (230) Pedestrian detection unit; (250) Driving information input unit; (270) Judgment configuration unit; (290) Control unit; (400) Forward camera; (500) Headlight
Abstract translation: 目的：提供汽车前照灯控制装置和方法，通过使用在前置照相机中拍摄的前置图像信息来自动控制汽车前灯的亮度。 构成：步行者检测单元（230）从拍摄汽车前方的图像信息中检测行人的整个身体和整个脸部。 判断构成单元（270）基于检测到的行人的整体和整个面部以及轿厢的当前行驶速度来判断轿厢前方的行人的存在，并且利用尾部构成前灯的亮度值 如果存在行人灯， 控制单元（290）根据配置的亮度值控制前灯的亮度。 （附图标记）（210）图像输入单元; （230）行人检测单位; （250）驾驶信息输入单元; （270）判断配置单位; （290）控制单元; （400）前照相机; （500）大灯
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公开(公告)号：KR1020130072063A
公开(公告)日：2013-07-01
申请号：KR1020110139610
申请日：2011-12-21
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: G06K9/00 , G06K2209/19 , G06T7/12 , G06T7/74 , G06T2207/30164
Abstract: PURPOSE: A device and method for recognizing product components are provided to increase a mounting rate of components by estimating a pose angle and kinds using feature vectors. CONSTITUTION: An image pre-processing unit of a learning unit (100) detects a component area using a component edge by extracting each component edge from inputted component images. A feature extractor of the learning unit extracts component features in the component area, and generates the feature vectors using the component features. A recognition unit (200) inputs the feature vectors in a nerve network in advance in order to recognize the type of the component. [Reference numerals] (110) Image input unit; (120) Image pre-processing unit; (130) Feature extractor; (140) Nerve network learning unit
Abstract translation: 目的：提供用于识别产品部件的装置和方法，以通过使用特征向量估计姿态角度和种类来增加部件的安装速度。 构成：学习单元（100）的图像预处理单元通过从输入的分量图像中提取每个分量边缘，使用分量边缘来检测分量区域。 学习单元的特征提取器提取组件区域中的组件特征，并使用组件特征生成特征向量。 识别单元（200）预先输入神经网络中的特征向量以识别该组件的类型。 （附图标记）（110）图像输入单元; （120）图像预处理单元; （130）特征提取器; （140）神经网络学习单元
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公开(公告)号：KR1020120096808A
公开(公告)日：2012-08-31
申请号：KR1020110016135
申请日：2011-02-23
Applicant: 한국전자통신연구원
IPC: G08B25/00
CPC classification number: H04N7/18 , G08B13/19623
Abstract: PURPOSE: A security control device, an orbit security device a control robot, a security control service system and method are provided to freely transfer a control robot device to a wide region regardless of road conditions of a driving path. CONSTITUTION: A control command input unit(120) is input a control command in regard to a security target place. A security data transmitting and receiving unit(130) transmits and receives the control command or security data for security control through the communication with an orbit protective device. The orbit protective device obtains the neighboring security data while traveling along an orbit installed at the security target place. A security data storing unit(140) stores the security data. A security data analysis module(150) analyzes the security data and determines abnormal situations of the security target place. The security data analysis module creates a control instruction for combination or separation of a control robot device and the orbit security device according to a determining result of the abnormal situations and transmits it through the security data transmitting and receiving unit. A security data output unit(160) outputs data for the abnormal situations of the security target place.
Abstract translation: 目的：提供一种安全控制装置，轨道安全装置，控制机器人，安全控制服务系统和方法，以便无论行驶路径的路况如何，将控制机器人装置自由地传送到广域。 构成：控制命令输入单元（120）输入关于安全目标地点的控制命令。 安全数据发送和接收单元（130）通过与轨道保护装置的通信来发送和接收用于安全控制的控制命令或安全数据。 轨道保护装置在安装在安全目标地点的轨道上行进时获得邻近的安全数据。 安全数据存储单元（140）存储安全数据。 安全数据分析模块（150）分析安全数据并确定安全目标地点的异常情况。 安全数据分析模块根据异常情况的确定结果创建控制机器人装置与轨道安全装置的组合或分离的控制指令，并通过安全数据发送和接收单元进行发送。 安全数据输出单元（160）输出安全目标地点的异常情况的数据。
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Patent Agency Ranking
公开(公告)号：KR1020120083064A
公开(公告)日：2012-07-25
申请号：KR1020110004501
申请日：2011-01-17
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: G06T7/254 , G06K9/00228 , G06T7/13 , G06T7/269
Abstract: PURPOSE: An apparatus and a method for discriminating a real face image are provided to discriminate whether the face of an image is real face or picture face. CONSTITUTION: A motion map generating unit(104) indicates a motion generating area in a pixel unit. A face detection unit(106) detects a rectangular area in which the face is located from an image. A photo edge detection unit(108) detects the girth of a photograph from the image. A motion direction detection unit(110) detects the motion direction for the background and detected face. A photo face determination unit(112) determines photograph face.
Abstract translation: 目的：提供用于区分真实脸部图像的装置和方法，以区分图像的脸部是真实面部还是图像面部。 构成：运动图生成单元（104）表示像素单位中的运动生成区域。 面部检测单元（106）从图像中检测面部位于其中的矩形区域。 照片边缘检测单元（108）从图像检测照片的周长。 运动方向检测单元（110）检测背景和检测到的面部的运动方向。 照片面确定单元（112）确定照片面。
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公开(公告)号：KR1020120023485A
公开(公告)日：2012-03-13
申请号：KR1020100122186
申请日：2010-12-02
Applicant: 한국전자통신연구원
CPC classification number: G06K9/6256 , G06K9/3258
Abstract: PURPOSE: A vehicle identifier recognition system and method thereof are provided to effectively extract the number of a vehicle by determining an identifier type. CONSTITUTION: An ROI(Region Of Interest) extraction unit(110) extracts ROI from an input image based on training images. An identifier region selecting unit(120) selects an identifier area including the identifier of a vehicle according to the ROI. An identifier recognition unit(130) recognizes the identifier of the vehicle by analyzing the identifier area according to the type of the identification area. A training image analysis unit(180) creates a pre-learning result based on a common data by analyzing training images.
Abstract translation: 目的：提供一种车辆识别识别系统及其方法，通过确定一种标识符类型来有效地提取车辆的数量。 构成：ROI（感兴趣区域）提取单元（110）基于训练图像从输入图像提取ROI。 标识符区域选择单元（120）根据ROI选择包括车辆的标识符的标识符区域。 标识符识别单元（130）根据识别区域的类型，通过分析标识符区域来识别车辆的标识符。 训练图像分析单元（180）通过分析训练图像来创建基于公共数据的预学习结果。
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公开(公告)号：KR1020120019008A
公开(公告)日：2012-03-06
申请号：KR1020100082072
申请日：2010-08-24
Applicant: 한국전자통신연구원
CPC classification number: G06K9/00771 , G06T7/246 , G06T2207/10024 , G06T2207/30196
Abstract: PURPOSE: An object tracking method and apparatus thereof are provided to offer accurate services to users by comparing feature information including size and shape information. CONSTITUTION: An object tracking apparatus determines a separation and an overlapping area in the silhouette area of a first and a second object(S130). The object tracking apparatus creates a group area including the silhouette area in case the overlapping area is generated(S140, S160). In case the separation area is generated, the object tracking apparatus collects feature information within the silhouette area of the first and the second object(S150). The object tracking apparatus tracks the target object of the first and the second object by comparing feature information(S180).
Abstract translation: 目的：通过比较包括大小和形状信息在内的特征信息，提供一种物体跟踪方法及其装置，以向用户提供准确的服务。 构成：对象跟踪装置确定第一和第二对象的剪影区域中的分离和重叠区域（S130）。 对象跟踪装置在生成重叠区域的情况下创建包括剪影区域的组区域（S140，S160）。 在产生分离区域的情况下，对象跟踪装置收集第一和第二对象的剪影区域内的特征信息（S150）。 对象跟踪装置通过比较特征信息来跟踪第一和第二对象的目标对象（S180）。
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公开(公告)号：KR1020110003820A
公开(公告)日：2011-01-13
申请号：KR1020090061275
申请日：2009-07-06
Applicant: 한국전자통신연구원
Inventor： 김도형 , 장민수 , 박천수 , 이재연 , 강상승 , 김재홍 , 김혜진 , 박찬규 , 윤영우 , 윤우한 , 윤호섭 , 이대하 , 조영조 , 조현성 , 지수영 , 손주찬 , 정연구
Abstract: PURPOSE: An electronic device driving a character profile and an operating method thereof are provided to enable a character to perform high-level interaction with a user according to a behavioral pattern of a specific character. CONSTITUTION: A capturing unit(140) captures an outside stimulus. A character platform(150) drives a character profile. A responding unit(170) expresses a reaction of a specific character about the outside stimulus. The character platform comprises a character profile slot(160) for loading the character profile. The character profile can separate from the character platform. The character profile can be replaced by another character profile.
Abstract translation: 目的：提供一种驱动字符简档及其操作方法的电子设备，以使角色能够根据特定字符的行为模式来执行与用户的高级交互。 构成：拍摄单元（140）捕获外部刺激。 字符平台（150）驱动字符简档。 响应单元（170）表示关于外部刺激的特定角色的反应。 字符平台包括用于加载字符轮廓的字符轮廓槽（160）。 角色配置文件可以与角色平台分离。 字符配置文件可以替换为另一个字符配置文件。
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公开(公告)号：KR1020080049394A
公开(公告)日：2008-06-04
申请号：KR1020060119899
申请日：2006-11-30
Applicant: 한국전자통신연구원
CPC classification number: G06K9/00234 , G06K9/42 , G06K9/4661 , G06T7/40
Abstract: A preprocessing method for face recognition, and a method and a device for recognizing a face with the same are provided to improve a security level and performance of the face recognition by recognizing the face stably even if lighting is largely changed. An input unit(310) receives an image including a user face, and an extractor(320) extracts a face area from the inputted image. A lighting preprocessor(350) minimizes lighting effect by calculating neighboring areas of each pixel of the face area, and adjusting a pixel value according to a pixel value of a lower brightness value than the pixel in the neighboring areas. A recognizer(380) recognizes the face from a data image output from the lighting preprocessor. A geometrical preprocessor(340) normalizes the face area by keeping a ratio between positions of face components before the extracted face area is inputted to the lighting preprocessor. A database(370) stores face image data of a plurality of users having an ID. A mode controller(360) outputs the data image of the lighting preprocessor to the recognizer in a face recognition mode and stores the data image to the database in a face registration mode.
Abstract translation: 提供了一种用于人脸识别的预处理方法，以及用于识别其面部的方法和装置，以便即使照明发生很大变化也能够稳定地识别脸部的脸部识别的安全性和性能。 输入单元（310）接收包括用户面的图像，并且提取器（320）从所输入的图像中提取面部区域。 照明预处理器（350）通过计算面部区域的每个像素的相邻区域来最小化照明效果，并且根据比邻近区域中的像素更低的亮度值的像素值来调整像素值。 识别器（380）从照明预处理器输出的数据图像识别脸部。 几何预处理器（340）通过在提取的面部区域被输入到照明预处理器之前保持面部分量的位置之间的比例来对脸部区域进行归一化。 数据库（370）存储具有ID的多个用户的脸部图像数据。 模式控制器（360）以面部识别模式将照明预处理器的数据图像输出到识别器，并以面部注册模式将数据图像存储到数据库。
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