Affiliations: [a] Department of Healthcare Engineering, Chonbuk National University, Deokjin-gu, Jeonju-si, Korea | [b] Division of Biomedical Engineering, Chonbuk National University, Korea | [c] Research Center of Healthcare & Welfare Instrument for the Aged, Chonbuk National University, Korea | [d] R&D Division, Chonbuk National University Automobile-parts & Mold Technology Innovation Center, Korea
Correspondence:
[*]
Corresponding author: Mun-Ho Ryu, Division of Biomedical Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 561-756, Korea. E-mail:mhryu@jbnu.ac.kr
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.
Keywords: Data glove, sign language recognition, inertial sensor, accelerometer
