TY - GEN
T1 - ESL127
T2 - 15th International Conference on Innovations in Information Technology, IIT 2023
AU - Ahmed, Ahmed Abdelhadi
AU - Gochoo, Munkhjargal
AU - Taghizadeh, Mohamad
AU - Otgonbold, Munkh Erdene
AU - Batnasan, Ganzorig
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - As stated by the United Arab Emirates's (UAE) Community Development Authority (CDA), there are around 3,065 individuals with hearing disabilities in the country. These individuals often struggle to communicate with broader society and rely on scarce sign language (SL) interpreters. Moreover, Arabic's dialects diversity compounds the issue by causing dialects in the Arabic Sign Language (ArSL). Hence, the call for a standardized reference for ArSL in the region is a priority. To address these challenges, we've developed an Emirate Sign Language (ESL) electronic dictionary (e-dictionary) with a dataset of 127 signs and 50 sentences, recorded by hearing-impaired individuals in the UAE with various degrees of deafness. Supervised by certified interpreters and validated by ESL's department head at CDA in Dubai, the recordings were made using Azure Kinect DK, resulting in 708 recordings. The dataset is then processed to 10fps. The e-dictionary offers features such as webcam-based sign recognition using YOLOv8 technology, voice-based signing via Arabic Automatic Speech Recognition, text-based signing, and words spelling in ArSL.
AB - As stated by the United Arab Emirates's (UAE) Community Development Authority (CDA), there are around 3,065 individuals with hearing disabilities in the country. These individuals often struggle to communicate with broader society and rely on scarce sign language (SL) interpreters. Moreover, Arabic's dialects diversity compounds the issue by causing dialects in the Arabic Sign Language (ArSL). Hence, the call for a standardized reference for ArSL in the region is a priority. To address these challenges, we've developed an Emirate Sign Language (ESL) electronic dictionary (e-dictionary) with a dataset of 127 signs and 50 sentences, recorded by hearing-impaired individuals in the UAE with various degrees of deafness. Supervised by certified interpreters and validated by ESL's department head at CDA in Dubai, the recordings were made using Azure Kinect DK, resulting in 708 recordings. The dataset is then processed to 10fps. The e-dictionary offers features such as webcam-based sign recognition using YOLOv8 technology, voice-based signing via Arabic Automatic Speech Recognition, text-based signing, and words spelling in ArSL.
KW - Emirate sign language
KW - Signs recognition
KW - Text-based signing
KW - dataset
KW - electronic dictionary
UR - http://www.scopus.com/inward/record.url?scp=85182939837&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85182939837&partnerID=8YFLogxK
U2 - 10.1109/IIT59782.2023.10366479
DO - 10.1109/IIT59782.2023.10366479
M3 - Conference contribution
AN - SCOPUS:85182939837
T3 - 2023 15th International Conference on Innovations in Information Technology, IIT 2023
SP - 174
EP - 179
BT - 2023 15th International Conference on Innovations in Information Technology, IIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 November 2023 through 15 November 2023
ER -