An Intelligent System to Help Deaf Students Learn Arabic Sign Language

Autor/inn/en	Mohammdi, Hosnia M.; Elbourhamy, Doaa M.
Titel	An Intelligent System to Help Deaf Students Learn Arabic Sign Language
Quelle	In: Interactive Learning Environments, 31 (2023) 5, S.3195-3210 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Elbourhamy, Doaa M.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2021.1920431
Schlagwörter	Arabic; Sign Language; Deafness; Hearing Impairments; Students with Disabilities; Program Effectiveness; Translation; Assistive Technology; Young Children; Foreign Countries; Egypt + Suchen Sie Ihr Suchwort? Arabisch; Gebärdensprache; Gehörlosigkeit; Taubstummheit; Hearing impairment; Hörbehinderung; Student; Students; Disability; Disabilities; Schüler; Schülerin; Studentin; Behinderung; Frühe Kindheit; Ausland; Ägypten
Abstract	This paper proposes a new system to translate an Arabic Sign Language (ArSL). The system consists of two sub-systems: the first, Speech to ArSL translation Subsystem. This sub-system is mainly based on the speech recognition engine. The second is ArSL to speech translation subsystem to translate the images of signs into speech, mainly based on GTTS library. This system will be easily used by both groups (the hearing disabled and normal persons) who want to learn ArSL and will support more communication between them. Among the advantages of this system is that it is expandable by adding new signs to the database and can be accessed online at: https://sr.gravita-demo.com/. The proposed system was evaluated using several methods. The findings show that the system can translate ArSL with a recognition rate of 99%. An experimental approach was used to evaluate the effectiveness of the proposed system. Results show that the proposed system was effective and the ability of Arab deaf students to learn improved significantly. In addition, the system's performance evaluation questionnaire revealed that system users preferred this approach to ArSL learning and teaching and acquired new concepts, which predicts a promising future for this system in academic environments. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01