公开(公告)号：US20130295529A1

公开(公告)日：2013-11-07

申请号：US13979337

申请日：2011-10-28

申请人： Hyun Chool Shin ,  Kyung Jin You ,  Ki Won Rhee ,  Hee Su Kang

发明人： Hyun Chool Shin ,  Kyung Jin You ,  Ki Won Rhee ,  Hee Su Kang

IPC分类号： G09B21/00

CPC分类号： G09B21/009 ,  A61B5/0488 ,  A61B5/1114 ,  A61B5/1125 ,  A61B5/6825 ,  A61B2562/0219 ,  G06F3/017 ,  G06F3/0346 ,  G06F3/038 ,  G06K9/00355 ,  G06K9/00536

摘要： Provided are a method and apparatus for recognizing sign language using an electromyogram sensor and a gyro sensor. The method includes the steps of (a) receiving a gyro measurement signal and an electromyogram measurement signal from the gyro sensor and the electromyogram sensor which are attached to the body of a subject, (b) determining to which of groups clustered with similar fingerspelling motions the gyro measurement signal belongs, (c) acquiring a Gaussian model for the electromyogram measurement signal, and (d) comparing the acquired Gaussian model with Gaussian candidate models for candidate fingerspelling motions which belong to the group determined in step (b), and recognizing the candidate fingerspelling motion corresponding to the Gaussian candidate model that is most similar to the acquired Gaussian model as the fingerspelling motion of the subject.

摘要翻译： 提供了一种使用肌电图传感器和陀螺仪传感器识别手语的方法和装置。 该方法包括以下步骤：（a）接收来自陀螺仪传感器和肌电图传感器的陀螺仪测量信号和肌电图测量信号，所述陀螺仪测量信号和肌电图传感器连接到被检体的身体，（b）确定哪些组聚集有相似的手指按摩运动 所述陀螺仪测量信号属于（c）获取所述肌电图测量信号的高斯模型，以及（d）将获得的高斯模型与属于步骤（b）中确定的组的候选人手指运动的高斯候选模型进行比较，并且识别 对应于与所获取的高斯模型最相似的高斯候选模型的候选人手指派生运动作为被摄体的指触动作。

公开(公告)号：US09183760B2

公开(公告)日：2015-11-10

申请号：US13979337

申请日：2011-10-28

申请人： Hyun Chool Shin ,  Kyung Jin You ,  Ki Won Rhee ,  Hee Su Kang

发明人： Hyun Chool Shin ,  Kyung Jin You ,  Ki Won Rhee ,  Hee Su Kang

IPC分类号： G09B21/00 ,  G06F3/01 ,  G06F3/038 ,  G06K9/00 ,  G06F3/0346 ,  A61B5/0488 ,  A61B5/11 ,  A61B5/00

CPC分类号： G09B21/009 ,  A61B5/0488 ,  A61B5/1114 ,  A61B5/1125 ,  A61B5/6825 ,  A61B2562/0219 ,  G06F3/017 ,  G06F3/0346 ,  G06F3/038 ,  G06K9/00355 ,  G06K9/00536

摘要： Provided are a method and apparatus for recognizing sign language using an electromyogram sensor and a gyro sensor. The method includes the steps of (a) receiving a gyro measurement signal and an electromyogram measurement signal from the gyro sensor and the electromyogram sensor which are attached to the body of a subject, (b) determining to which of groups clustered with similar fingerspelling motions the gyro measurement signal belongs, (c) acquiring a Gaussian model for the electromyogram measurement signal, and (d) comparing the acquired Gaussian model with Gaussian candidate models for candidate fingerspelling motions which belong to the group determined in step (b), and recognizing the candidate fingerspelling motion corresponding to the Gaussian candidate model that is most similar to the acquired Gaussian model as the fingerspelling motion of the subject.

摘要翻译： 提供了一种使用肌电图传感器和陀螺仪传感器识别手语的方法和装置。 该方法包括以下步骤：（a）接收来自陀螺仪传感器和肌电图传感器的陀螺仪测量信号和肌电图测量信号，所述陀螺仪测量信号和肌电图传感器连接到被检体的身体，（b）确定哪些组聚集有相似的手指按摩运动 所述陀螺仪测量信号属于（c）获取所述肌电图测量信号的高斯模型，以及（d）将获得的高斯模型与属于步骤（b）中确定的组的候选人手指运动的高斯候选模型进行比较，并且识别 对应于与所获取的高斯模型最相似的高斯候选模型的候选人手指派生运动作为被摄体的指触动作。