发明授权
US09183760B2 Method and apparatus for recognizing sign language using electromyogram sensor and gyro sensor
有权
使用肌电图传感器和陀螺传感器识别手语的方法和装置
- 专利标题: Method and apparatus for recognizing sign language using electromyogram sensor and gyro sensor
- 专利标题(中): 使用肌电图传感器和陀螺传感器识别手语的方法和装置
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申请号: US13979337申请日: 2011-10-28
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公开(公告)号: US09183760B2公开(公告)日: 2015-11-10
- 发明人: Hyun Chool Shin , Kyung Jin You , Ki Won Rhee , Hee Su Kang
- 申请人: Hyun Chool Shin , Kyung Jin You , Ki Won Rhee , Hee Su Kang
- 申请人地址: KR Seoul
- 专利权人: Foundation of Soongsil University-Industry Cooperation
- 当前专利权人: Foundation of Soongsil University-Industry Cooperation
- 当前专利权人地址: KR Seoul
- 代理机构: Novick, Kim & Lee, PLLC
- 代理商 Sang Ho Lee
- 优先权: KR10-2010-0126191 20101210
- 国际申请: PCT/KR2011/008136 WO 20111028
- 国际公布: WO2012/077909 WO 20120614
- 主分类号: G09B21/00
- IPC分类号: G09B21/00 ; G06F3/01 ; G06F3/038 ; G06K9/00 ; G06F3/0346 ; A61B5/0488 ; A61B5/11 ; A61B5/00
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.
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