USER HAND DETECTING DEVICE FOR DETECTING USER'S HAND REGION AND METHOD THEREOF
    3.
    发明申请
    USER HAND DETECTING DEVICE FOR DETECTING USER'S HAND REGION AND METHOD THEREOF 有权
    用于检测用户手区的用户手段检测装置及其方法

    公开(公告)号:US20150332471A1

    公开(公告)日:2015-11-19

    申请号:US14712391

    申请日:2015-05-14

    Abstract: Technology for a method of detecting a user hand by a user hand detecting device. The method according to an aspect of the present invention includes extracting a first mask image from a depth image in which the user hand is imaged; extracting a second mask image having a preset skin color value among regions corresponding to the first mask image in a color image in which the user hand is imaged; generating a skin color value histogram model in a color space different from a region of the color image corresponding to a color region of the second mask image; generating a skin color probability image of the different color space from the color image using the skin color value histogram model and an algorithm for detecting a skin color region; and combining the skin color probability image with the second mask image and detecting the user's hand region.

    Abstract translation: 用于通过用户手检测装置检测用户手的方法的技术。 根据本发明的一个方面的方法包括从用户手被成像的深度图像提取第一掩模图像; 在用户手被成像的彩色图像中提取具有对应于第一掩模图像的区域中的预设肤色值的第二掩模图像; 在与所述第二掩模图像的颜色区域对应的彩色图像的区域不同的颜色空间中生成肤色值直方图模型; 使用肤色值直方图模型和用于检测肤色区域的算法从彩色图像生成不同颜色空间的肤色概率图像; 以及将肤色概率图像与第二掩模图像组合并检测用户的手区域。

    DEAF-SPECIFIC LANGUAGE LEARNING SYSTEM AND METHOD

    公开(公告)号:US20190295443A1

    公开(公告)日:2019-09-26

    申请号:US16184657

    申请日:2018-11-08

    Abstract: Disclosed is a language learning technology for deaf people. A deaf-specific language learning system includes: a sound input device configured to receive a voice from an external source; a learning server configured to store learning data and correction information; a signal processor configured to output voice pattern information corresponding to a voice signal received from the sound input device; a learning processor configured to output learning pattern information regarding the learning data received from the learning server and also output a learning result through similarity analysis; and an actuator controller configured to vibrate a vibration actuator according to the voice pattern information and the learning pattern information.

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