Understanding Challenges and Opportunities of Technology-Supported Sign Language Learning

Author:

Faltaous Sarah1,Winkler Torben2,Schneegass Christina3,Gruenefeld Uwe1,Schneegass Stefan1

Affiliation:

1. HCI, University Duisburg-Essen, Germany

2. University Duisburg-Essen, Germany

3. LMU, Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

ACM

Reference48 articles.

1. Evaluating Sign Language Recognition Using the Myo Armband

2. Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors

3. Sign Language Recognition, Generation, and Translation

4. Jorge Jonathan Cadeñanes Garnicaand María Angélica González Arrieta . 2014 . Augmented Reality Sign Language Teaching Model for Deaf Children. In Distributed Computing and Artificial Intelligence , 11th International Conference, Sigeru Omatu, Hugues Bersini, Juan M. Corchado, Sara Rodríguez, Paweł Pawlewski, and Edgardo Bucciarelli (Eds.). Springer International Publishing, Cham, 351–358 . Jorge Jonathan Cadeñanes Garnicaand María Angélica González Arrieta. 2014. Augmented Reality Sign Language Teaching Model for Deaf Children. In Distributed Computing and Artificial Intelligence, 11th International Conference, Sigeru Omatu, Hugues Bersini, Juan M. Corchado, Sara Rodríguez, Paweł Pawlewski, and Edgardo Bucciarelli (Eds.). Springer International Publishing, Cham, 351–358.

5. Paul Chandler and John Sweller . 1991. Cognitive load theory and the format of instruction. Cognition and instruction 8, 4 ( 1991 ), 293–332. Paul Chandler and John Sweller. 1991. Cognitive load theory and the format of instruction. Cognition and instruction 8, 4 (1991), 293–332.

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