Show simple item record

dc.contributor.authorSalem, Nema
dc.contributor.authorAlharbib, Saja
dc.contributor.authorKhezendarc, Raghdah
dc.contributor.authorAlshami, Hedaih
dc.date.accessioned2023-03-16T04:25:44Z
dc.date.available2023-03-16T04:25:44Z
dc.date.issued2019
dc.identifier.citation14en_US
dc.identifier.doi10.1016/j.procs.2019.12.128en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/678
dc.description.abstractResearchers can develop new systems to capture, analyze, recognize, memorize and interpret hand gestures with machine learning and sensors. Acoustic communication is a way to convey human opinions, feelings, messages, and information. Deaf and mute individuals communicate using sign language that is not understandable by everyone. Unfortunately, they face extreme difficulty in conveying their messages to others. To facilitate the communication between deaf/mute individuals and normal people, we propose a real-time prototype using a customized glove equipped with five flex and one-accelerometer sensors. These sensors are able to detect the bindings of the fingers and the movements of the hand. In addition, we developed an android mobile application to recognize the captured Arabic Sign Language (ArSL) gestures and translate them into displayed texts and audible sounds. The developed prototype is accurate, low cost and fast in response.en_US
dc.publisherElsevier: Procedia computer science (163)en_US
dc.subjectSensory glove; Arabic Sign Language; Flex sensor, Accelerometer sensor; MIT inventor; Mobile application; Deaf and muteen_US
dc.titleReal-time glove and android application for visual and audible Arabic sign language translationen_US
dc.contributor.researcherNo Collaborationen_US
dc.subject.KSASocieEmpowen_US
dc.contributor.ugstudentSaja Alharbib , Raghdah Khezendarc , Hedaih Alshamien_US
dc.source.indexScopusen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.contributor.firstauthorSalem, Nema
dc.conference.locationSaudi Arabiaen_US
dc.conference.name16th Learning and Technology Conference 2019Artificial Intelligence and Machine Learning: Embedding the Intelligenceen_US
dc.conference.date2019-01


Files in this item

Thumbnail
Name:
Publisher version
Thumbnail
Name:
Glove.pdf
Size:
1.533Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record