TY - GEN
T1 - Recognizing the Components of Inflectional Word Gestures in Indonesian Sign System known as SIBI (Sistem Isyarat Bahasa Indonesia) by using Lip Motion
AU - Anggraini, Keumala
AU - Rakun, Erdefi
AU - Stefanus, Lim Yohanes
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Sign language is a method of communication used by people who suffer from hearing impairment. Several countries have invented their own sign language including Indonesia's Sistem Isyarat Bahasa Indonesia (SIBI). The uniqueness of SIBI is that it applies the Indonesian language grammatical structure to the hand motions used and uses facial expressions as the replacement of intonation and lip motions to pronounce a word. From previous studies, to increase the accuracy of sign language recognition it is necessary to supplement the hand tracking with lip reading. This study proposes a model to recognize inflectional word gestures through lip motions. From the proposed model, this research found that the sequence of lip motions are very similar to each other, which resulted in very low accuracy in determining prefix (21,64%), root words (23,87%), and suffixes (22,61%), in SIBI just by analyzing the sequence of lip motions. Using similarity-groupings determined in this study, the accuracy of the model proposed can be increased significantly with the accuracy increasing to prefix (73,94%), root words (83,98%), and suffixes (82,10%). Additionally, another cause for the low accuracy of the model is that the labeling was done according to the hand gestures, this resulted in the frame by frame sequence that was captured to not be representative of the entire lip motions.
AB - Sign language is a method of communication used by people who suffer from hearing impairment. Several countries have invented their own sign language including Indonesia's Sistem Isyarat Bahasa Indonesia (SIBI). The uniqueness of SIBI is that it applies the Indonesian language grammatical structure to the hand motions used and uses facial expressions as the replacement of intonation and lip motions to pronounce a word. From previous studies, to increase the accuracy of sign language recognition it is necessary to supplement the hand tracking with lip reading. This study proposes a model to recognize inflectional word gestures through lip motions. From the proposed model, this research found that the sequence of lip motions are very similar to each other, which resulted in very low accuracy in determining prefix (21,64%), root words (23,87%), and suffixes (22,61%), in SIBI just by analyzing the sequence of lip motions. Using similarity-groupings determined in this study, the accuracy of the model proposed can be increased significantly with the accuracy increasing to prefix (73,94%), root words (83,98%), and suffixes (82,10%). Additionally, another cause for the low accuracy of the model is that the labeling was done according to the hand gestures, this resulted in the frame by frame sequence that was captured to not be representative of the entire lip motions.
KW - Inflectional Words
KW - Lip Motion
KW - SIBI
KW - Sign Language
KW - Similarity-Groupings
UR - http://www.scopus.com/inward/record.url?scp=85085865291&partnerID=8YFLogxK
U2 - 10.1109/ICEEI47359.2019.8988806
DO - 10.1109/ICEEI47359.2019.8988806
M3 - Conference contribution
AN - SCOPUS:85085865291
T3 - Proceedings of the International Conference on Electrical Engineering and Informatics
SP - 384
EP - 389
BT - Proceeding of 2019 International Conference on Electrical Engineering and Informatics, ICEEI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Electrical Engineering and Informatics, ICEEI 2019
Y2 - 9 July 2019 through 10 July 2019
ER -