Invention Grant
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
- Patent Title: Method and apparatus for recognizing sign language using electromyogram sensor and gyro sensor
- Patent Title (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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Application No.: US13979337Application Date: 2011-10-28
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Publication No.: US09183760B2Publication Date: 2015-11-10
- Inventor: Hyun Chool Shin , Kyung Jin You , Ki Won Rhee , Hee Su Kang
- Applicant: Hyun Chool Shin , Kyung Jin You , Ki Won Rhee , Hee Su Kang
- Applicant Address: KR Seoul
- Assignee: Foundation of Soongsil University-Industry Cooperation
- Current Assignee: Foundation of Soongsil University-Industry Cooperation
- Current Assignee Address: KR Seoul
- Agency: Novick, Kim & Lee, PLLC
- Agent Sang Ho Lee
- Priority: KR10-2010-0126191 20101210
- International Application: PCT/KR2011/008136 WO 20111028
- International Announcement: WO2012/077909 WO 20120614
- Main IPC: G09B21/00
- IPC: G09B21/00 ; G06F3/01 ; G06F3/038 ; G06K9/00 ; G06F3/0346 ; A61B5/0488 ; A61B5/11 ; A61B5/00

Abstract:
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.
Public/Granted literature
- US20130295529A1 METHOD AND APPARATUS FOR RECOGNIZING SIGN LANGUAGE USING ELECTROMYOGRAM SENSOR AND GYRO SENSOR Public/Granted day:2013-11-07
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