TY - JOUR
T1 - SmartASL
T2 - "Point-of-Care" Comprehensive ASL Interpreter Using Wearables
AU - Jin, Yincheng
AU - Zhang, Shibo
AU - Gao, Yang
AU - Xu, Xuhai
AU - Choi, Seokmin
AU - Li, Zhengxiong
AU - Adler, Henry J.
AU - Jin, Zhanpeng
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/6/12
Y1 - 2023/6/12
N2 - Sign language builds up an important bridge between the d/Deaf and hard-of-hearing (DHH) and hearing people. Regrettably, most hearing people face challenges in comprehending sign language, necessitating sign language translation. However, state-of-the-art wearable-based techniques mainly concentrate on recognizing manual markers (e.g., hand gestures), while frequently overlooking non-manual markers, such as negative head shaking, question markers, and mouthing. This oversight results in the loss of substantial grammatical and semantic information in sign language. To address this limitation, we introduce SmartASL, a novel proof-of-concept system that can 1) recognize both manual and non-manual markers simultaneously using a combination of earbuds and a wrist-worn IMU, and 2) translate the recognized American Sign Language (ASL) glosses into spoken language. Our experiments demonstrate the SmartASL system's significant potential to accurately recognize the manual and non-manual markers in ASL, effectively bridging the communication gaps between ASL signers and hearing people using commercially available devices.
AB - Sign language builds up an important bridge between the d/Deaf and hard-of-hearing (DHH) and hearing people. Regrettably, most hearing people face challenges in comprehending sign language, necessitating sign language translation. However, state-of-the-art wearable-based techniques mainly concentrate on recognizing manual markers (e.g., hand gestures), while frequently overlooking non-manual markers, such as negative head shaking, question markers, and mouthing. This oversight results in the loss of substantial grammatical and semantic information in sign language. To address this limitation, we introduce SmartASL, a novel proof-of-concept system that can 1) recognize both manual and non-manual markers simultaneously using a combination of earbuds and a wrist-worn IMU, and 2) translate the recognized American Sign Language (ASL) glosses into spoken language. Our experiments demonstrate the SmartASL system's significant potential to accurately recognize the manual and non-manual markers in ASL, effectively bridging the communication gaps between ASL signers and hearing people using commercially available devices.
KW - Comprehensive ASL Recognition
KW - Earbuds
KW - Manual Markers
KW - Non-manual Markers
KW - Smartwatch
UR - https://www.scopus.com/pages/publications/85162230364
U2 - 10.1145/3596255
DO - 10.1145/3596255
M3 - 文章
AN - SCOPUS:85162230364
SN - 2474-9567
VL - 7
JO - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
JF - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
IS - 2
M1 - 3596255
ER -