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ERIC Number: EJ1454040
Record Type: Journal
Publication Date: 2024-Dec
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: EISSN-1573-7608
Available Date: N/A
Interactive System Based on Artificial Intelligence and Robotic Arm to Enhance Arabic Sign Language Learning in Deaf Children
Education and Information Technologies, v29 n18 p24563-24580 2024
Tailored support is crucial for deaf and hearing-impaired children to overcome learning difficulties, particularly during primary education. The absence of listening profoundly hinders the progression of the learning journey, as it plays a pivotal role in language acquisition. Employing assistive technology is one approach to address this issue in the field of education. This paper introduces RSA, an interactive system designed for the recognition and simulation of letters in Arabic Sign Language. Our system's objective is to enrich language learning in an engaging manner. RSA utilizes artificial intelligence to identify and recognize the gestures corresponding to Arabic letters in real-time. Additionally, the system has the capability to replicate these letters through the utilization of a robotic arm. Thanks to its simplicity, the system holds promise in enhancing the acquisition of Arabic sign language skills for deaf children.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A