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    Gesture recognition apparatus, robot system including the same and gesture recognition method using the same
    1.
    发明授权
    Gesture recognition apparatus, robot system including the same and gesture recognition method using the same 有权
    手势识别装置，包括相同的机器人系统和使用其的手势识别方法

    公开(公告)号：US09129154B2

    公开(公告)日：2015-09-08

    申请号：US12638302

    申请日：2009-12-15

    Applicant: Do Hyung Kim ,  Jae Yeon Lee ,  Woo Han Yun ,  Su Young Chi ,  Ho Sub Yoon ,  Hye Jin Kim ,  Young Woo Yoon

    Inventor： Do Hyung Kim ,  Jae Yeon Lee ,  Woo Han Yun ,  Su Young Chi ,  Ho Sub Yoon ,  Hye Jin Kim ,  Young Woo Yoon

    IPC: H04N7/18 ,  G06K9/00

    CPC classification number: G06K9/00355

    Abstract: Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.

    Abstract translation: 提供了一种手势识别装置。 手势识别装置包括人体检测单元，手势区域设定区域，手臂检测单元和手势判定单元。 人体检测单元从输入图像检测用户的脸部区域。 手势区域设定单元相对于检测到的脸部区域设定手势区域，在手势区域中发生用户手臂的手势。 手臂检测单元在手势区域中检测用户的手臂区域。 手势确定单元分析手势区域中的手臂区域的位置，移动方向性和形状信息，以确定用户的目标手势。 这样的手势识别装置可以用作机器人难以识别用户的语音的长距离人机交互的有用手段。

    Typewriter system and text input method using mediated interface device
    2.
    发明授权
    Typewriter system and text input method using mediated interface device 有权
    打字机系统和文本输入法使用介质接口设备

    公开(公告)号：US08775159B2

    公开(公告)日：2014-07-08

    申请号：US12965249

    申请日：2010-12-10

    Applicant: Dae Ha Lee ,  Jae Hong Kim ,  Min Su Jang ,  Chan Kyu Park ,  Hyeon Sung Cho ,  Sang Seung Kang ,  Cheon Shu Park ,  Joo Chan Sohn ,  Jae Yeon Lee ,  Yun Koo Chung

    Inventor： Dae Ha Lee ,  Jae Hong Kim ,  Min Su Jang ,  Chan Kyu Park ,  Hyeon Sung Cho ,  Sang Seung Kang ,  Cheon Shu Park ,  Joo Chan Sohn ,  Jae Yeon Lee ,  Yun Koo Chung

    IPC: G06F17/27

    CPC classification number: G06F17/273

    Abstract: Disclosed is a typewriter system and a text input method capable of accurately recognizing words by correcting words input using a mediated interface device based on a dictionary. A plurality of texts are combined by referencing a text recognition order set in which recognition results of texts are arranged according to a recognition order from texts input through the mediated interface device and the combined text is filtered using part index maps formed of part words that are an accumulated set of texts forming complete words. The part words passing through the part index maps is again filtered using a dictionary including context information formed of a set of words in a specific category, thereby making it possible to accurately recognize the words. The part words that cannot form words in a dictionary are removed in advance using the part index maps, thereby improving the recognition efficiency.

    Abstract translation: 公开了一种打字机系统和文本输入方法，其能够通过使用基于字典的中介接口设备来校正输入的单词来准确地识别单词。 通过参考文本识别顺序集来组合多个文本，其中文本的识别结果根据通过介导的界面设备输入的文本的识别顺序排列，并且使用由部分词形成的部分索引图来过滤组合的文本 形成完整词汇的一组文本。 通过部分索引图的部分字再次使用包括由特定类别中的一组单词形成的上下文信息的字典进行过滤，从而使得可以准确地识别单词。 使用部分索引图，预先除去字典中不能形成单词的部分词，从而提高识别效率。

    Human recognition apparatus and human recognition method
    5.
    发明授权
    Human recognition apparatus and human recognition method 有权
    人类识别装置和人体识别方法

    公开(公告)号：US08271204B2

    公开(公告)日：2012-09-18

    申请号：US12362992

    申请日：2009-01-30

    Applicant: Seung Min Choi ,  Ji Ho Chang ,  Jae Il Cho ,  Dae Hwan Hwang ,  Jae Yeon Lee ,  Do Hyung Kim ,  Eul Gyoon Lim ,  Ho Chul Shin

    Inventor： Seung Min Choi ,  Ji Ho Chang ,  Jae Il Cho ,  Dae Hwan Hwang ,  Jae Yeon Lee ,  Do Hyung Kim ,  Eul Gyoon Lim ,  Ho Chul Shin

    IPC: G06F19/00

    CPC classification number: G01H17/00 ,  G06K9/00348 ,  G06K9/0053

    Abstract: Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.

    Abstract translation: 提供了基于步行模式识别用户的人类识别装置和人类识别方法。 人体识别装置包括检测单元，用于根据用户的步行检测振动，并从电信号中输出电信号，图案计算单元获取步行模式;以及用户确定单元，将步行模式与先前测量 用户参考数据，并根据比较结果识别用户。 人类识别装置和人类识别方法对于外围噪声是鲁棒的，并且可以通过使用作为用户识别数据的不需要大量数据吞吐量的一维时间信息的波动模式，通过简单的结构和过程来提高接受率 。

    Method and apparatus for shoulder-line detection and gesture spotting detection
    6.
    发明授权
    Method and apparatus for shoulder-line detection and gesture spotting detection 有权
    用于肩线检测和手势点检测的方法和装置

    公开(公告)号：US08204311B2

    公开(公告)日：2012-06-19

    申请号：US11673696

    申请日：2007-02-12

    Applicant: Hye Jin Kim ,  Ho Sub Yoon ,  Do Hyung Kim ,  Jae Yeon Lee

    Inventor： Hye Jin Kim ,  Ho Sub Yoon ,  Do Hyung Kim ,  Jae Yeon Lee

    IPC: G06K9/48

    CPC classification number: G06K9/00335

    Abstract: A gesture spotting detection method and apparatus employ a shoulder-line algorithm. The shoulder-line detecting method recognizes a GSD calling gesture that occurs in a shoulder-line, head or higher part in a remote distance or a short distance, although a user does not have a fixed posture. In the method, an image of people is received, and skin information of a person in the image is detected to detect a face area. Then, the cloth color information of the person is modeled from the inputted image to detect a cloth area. An external space is defined from the image based on the body space area, and an edge is extracted from the image based on the body space and the external space. Then, shoulder-line information is acquired based on an energy function obtained based on the body space, the external space, and the edge.

    Abstract translation: 手势点检测方法和装置采用肩线算法。 肩线检测方法识别在远程或短距离的肩线，头部或更高部位发生的GSD呼叫手势，尽管用户不具有固定的姿势。 在该方法中，接收人的图像，并且检测图像中的人的皮肤信息以检测面部区域。 然后，根据输入的图像对人的布颜色信息进行建模，以检测布面积。 基于身体空间区域从图像中定义外部空间，并且基于身体空间和外部空间从图像提取边缘。 然后，基于基于体空间，外部空间和边缘获得的能量函数来获取肩线信息。

    MULTI-SENSOR SIGNAL PROCESSING SYSTEM FOR DETECTING WALKING INTENT, WALKING SUPPORTING APPARATUS COMPRISING THE SYSTEM AND METHOD FOR CONTROLLING THE APPARATUS
    7.
    发明申请
    MULTI-SENSOR SIGNAL PROCESSING SYSTEM FOR DETECTING WALKING INTENT, WALKING SUPPORTING APPARATUS COMPRISING THE SYSTEM AND METHOD FOR CONTROLLING THE APPARATUS 有权
    用于检测运动功能的多传感器信号处理系统，包括系统的运行支持装置和用于控制装置的方法

    公开(公告)号：US20110152732A1

    公开(公告)日：2011-06-23

    申请号：US12970538

    申请日：2010-12-16

    Applicant: Eun Hye JANG ,  Young Jo Cho ,  Jae Yeon Lee ,  Su Young Chi ,  Byung Tae Chun

    Inventor： Eun Hye JANG ,  Young Jo Cho ,  Jae Yeon Lee ,  Su Young Chi ,  Byung Tae Chun

    IPC: A61H3/00 ,  A45B3/00

    CPC classification number: A61H3/008 ,  A61H1/0266 ,  A61H3/00 ,  A61H2201/1623 ,  A61H2201/163 ,  A61H2201/164 ,  A61H2201/1642 ,  A61H2201/165 ,  A61H2201/1676 ,  A61H2201/5007 ,  A61H2201/5061 ,  A61H2201/5097

    Abstract: Provided is a walking supporting apparatus for supporting a user walking by using a multi-sensor signal processing system that detects a walking intent. A palm sensor unit detects a force applied to a palm through a stick to generate a palm sensor signal. A sensor unit detects a force applied to a sole through the ground to generate a sole sensor signal. A portable information processing unit checks a user's walking intent by using the palm sensor signal, and if it is checked that the user has a walking intent, the portable information processing unit generates a driving signal in response to the sole sensor signal. A walking supporting mechanism includes a left motor attached to a user's left leg and a right motor attached to a user's right leg to support the user's walking when the left and right motors are driven in response to the driving signal.

    Abstract translation: 提供了一种用于通过使用检测步行意图的多传感器信号处理系统来支持用户行走的步行辅助装置。 手掌传感器单元通过棒检测施加到手掌的力以产生手掌传感器信号。 传感器单元检测通过地面施加到鞋底的力以产生唯一的传感器信号。 便携式信息处理单元通过使用手掌传感器信号来检查用户的行走意图，并且如果检查到用户具有行走意图，则便携式信息处理单元响应于唯一的传感器信号产生驱动信号。 行走支撑机构包括附接到使用者的左腿的左电动机和附接到用户的右腿的右电动机，以响应于驱动信号驱动左右电动机来支持用户的行走。

    GESTURE RECOGNITION APPARATUS, ROBOT SYSTEM INCLUDING THE SAME AND GESTURE RECOGNITION METHOD USING THE SAME
    8.
    发明申请
    GESTURE RECOGNITION APPARATUS, ROBOT SYSTEM INCLUDING THE SAME AND GESTURE RECOGNITION METHOD USING THE SAME 有权
    识别装置，包括其的机器人系统和使用其的姿势识别方法

    公开(公告)号：US20110001813A1

    公开(公告)日：2011-01-06

    申请号：US12638302

    申请日：2009-12-15

    Applicant: Do Hyung KIM ,  Jae Yeon Lee ,  Woo Han Yun ,  Su Young Chi ,  Ho Sub Yoon ,  Hye Jin Kim ,  Young Woo Yoon

    Inventor： Do Hyung KIM ,  Jae Yeon Lee ,  Woo Han Yun ,  Su Young Chi ,  Ho Sub Yoon ,  Hye Jin Kim ,  Young Woo Yoon

    IPC: H04N7/18 ,  G06K9/46 ,  G06K9/00

    CPC classification number: G06K9/00355

    Abstract: Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.

    Abstract translation: 提供了一种手势识别装置。 手势识别装置包括人体检测单元，手势区域设定区域，手臂检测单元和手势判定单元。 人体检测单元从输入图像检测用户的脸部区域。 手势区域设定单元相对于检测到的脸部区域设定手势区域，在手势区域中发生用户手臂的手势。 手臂检测单元在手势区域中检测用户的手臂区域。 手势确定单元分析手势区域中的手臂区域的位置，移动方向性和形状信息，以确定用户的目标手势。 这样的手势识别装置可以用作机器人难以识别用户的语音的长距离人机交互的有用手段。

    User authentication system and method thereof
    9.
    发明授权
    User authentication system and method thereof 有权
    用户认证系统及其方法

    公开(公告)号：US07634113B2

    公开(公告)日：2009-12-15

    申请号：US11291607

    申请日：2005-11-30

    Applicant: Do-Hyung Kim ,  Jae-Yeon Lee ,  Su-Young Chi ,  Ho-Sub Yoon ,  Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Young-Jo Cho

    Inventor： Do-Hyung Kim ,  Jae-Yeon Lee ,  Su-Young Chi ,  Ho-Sub Yoon ,  Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Young-Jo Cho

    IPC: G06K9/00 ,  G06K5/00 ,  G05B19/00 ,  G10L21/00

    CPC classification number: G06K9/00362

    Abstract: A user recognizing system and method is provided. According to the user recognizing system and method, user ID and predetermined user feature information are stored, first and second user feature information are extracted from the user image data transmitted from the image input unit, and first and second probabilities that the extracted first and second user feature information determine the predetermined user are respectively generated based on the information stored at the user information database, the first user feature information being absolutely unique biometric information and the second user feature information being unique semibiometric information under a predetermined condition, and ID of the input image is finally determined by combining the first probability and the second probability. According to the user recognizing system and method, a user identity can be authenticated even when the user freely moves.

    Abstract translation: 提供了一种用户识别系统和方法。 根据用户识别系统和方法，存储用户ID和预定用户特征信息，从从图像输入单元发送的用户图像数据中提取第一和第二用户特征信息，以及提取的第一和第二概率的第一和第二概率 基于存储在用户信息数据库中的信息分别生成预定用户的用户特征信息，第一用户特征信息是绝对唯一的生物体信息，第二用户特征信息是预定条件下的唯一半身测量信息，以及ID 最终通过组合第一概率和第二概率来确定输入图像。 根据用户识别系统和方法，即使用户自由移动，也可以认证用户身份。

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