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- Title
Recognition of sign language with an inertial sensor-based data glove.
- Authors
Kyung-Won Kim; Mi-So Lee; Bo-Ram Soon; Mun-Ho Ryu; Je-Nam Kim; Kim, Kyung-Won; Lee, Mi-So; Soon, Bo-Ram; Ryu, Mun-Ho; Kim, Je-Nam
- Abstract
Communication between people with normal hearing and hearing impairment is difficult. Recently, a variety of studies on sign language recognition have presented benefits from the development of information technology. This study presents a sign language recognition system using a data glove composed of 3-axis accelerometers, magnetometers, and gyroscopes. Each data obtained by the data glove is transmitted to a host application (implemented in a Window program on a PC). Next, the data is converted into angle data, and the angle information is displayed on the host application and verified by outputting three-dimensional models to the display. An experiment was performed with five subjects, three females and two males, and a performance set comprising numbers from one to nine was repeated five times. The system achieves a 99.26% movement detection rate, and approximately 98% recognition rate for each finger's state. The proposed system is expected to be a more portable and useful system when this algorithm is applied to smartphone applications for use in some situations such as in emergencies.
- Subjects
SOUTH Korea; HEARING disorders; COMMUNICATION &; society; DATA management; INFORMATION technology; MEDICAL technology; ALGORITHMS; HAND; INFORMATION science; SIGN language; TRANSLATIONS; BODY movement
- Publication
Technology & Health Care, 2016, Vol 24, pS223
- ISSN
0928-7329
- Publication type
journal article
- DOI
10.3233/THC-151078