TY - GEN
T1 - A sensor-based hand gesture recognition system for Japanese sign language
AU - Chu, Xianzhi
AU - Liu, Jiang
AU - Shimamoto, Shigeru
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/9
Y1 - 2021/3/9
N2 - In this paper, we propose a sensor-based data acquisition glove for Japanese Sign Language (JSL) hand gesture recognition. Five flex sensors, an Inertial Measurement Unit (IMU), and three Force Sensing Resistors (FSRs) are used to detect the bending degree of fingers and hand movement information. The detected data are transmitted to the computer by an Arduino Micro. The average accuracy of the hand gesture recognition for a single subject, using the Support Vector Machine (SVM) based and the Dynamic Time Wrapping (DTW) based algorithm are 96.9% and 94.5%, respectively. Our proposed system also achieves an average recognition accuracy of about 82.5% for the cross-recognition among three subjects. The experimental results indicate that our proposed system has great potential for JSL hand gesture recognition.
AB - In this paper, we propose a sensor-based data acquisition glove for Japanese Sign Language (JSL) hand gesture recognition. Five flex sensors, an Inertial Measurement Unit (IMU), and three Force Sensing Resistors (FSRs) are used to detect the bending degree of fingers and hand movement information. The detected data are transmitted to the computer by an Arduino Micro. The average accuracy of the hand gesture recognition for a single subject, using the Support Vector Machine (SVM) based and the Dynamic Time Wrapping (DTW) based algorithm are 96.9% and 94.5%, respectively. Our proposed system also achieves an average recognition accuracy of about 82.5% for the cross-recognition among three subjects. The experimental results indicate that our proposed system has great potential for JSL hand gesture recognition.
KW - Hand gesture recognition
KW - Japanese sign language
KW - Sensors
KW - Wearable device
UR - http://www.scopus.com/inward/record.url?scp=85104569569&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85104569569&partnerID=8YFLogxK
U2 - 10.1109/LifeTech52111.2021.9391981
DO - 10.1109/LifeTech52111.2021.9391981
M3 - Conference contribution
AN - SCOPUS:85104569569
T3 - LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
SP - 311
EP - 312
BT - LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021
Y2 - 9 March 2021 through 11 March 2021
ER -