Developing and Evaluating a Novel Gamified Virtual Learning Environment for ASL-Reference-Cited by-同舟云学术

Developing and Evaluating a Novel Gamified Virtual Learning Environment for ASL

Published:2023 Issue: Volume: Page:459-468
ISSN:0302-9743
Container-title:Human-Computer Interaction – INTERACT 2023
language:
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Author:

Wang Jindi^ORCID,Ivrissimtzis Ioannis^ORCID,Li Zhaoxing^ORCID,Zhou Yunzhan^ORCID,Shi Lei^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-42280-5_29

Reference20 articles.

1. Bantupalli, K., Xie, Y.: American sign language recognition using deep learning and computer vision. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 4896–4899. IEEE (2018)

2. Battistoni, P., Di Gregorio, M., Sebillo, M., Vitiello, G.: AI at the edge for sign language learning support. In: 2019 IEEE International Conference on Humanized Computing and Communication (HCC), pp. 16–23. IEEE (2019)

3. Bheda, V., Radpour, D.: Using deep convolutional networks for gesture recognition in american sign language. arXiv preprint arXiv:1710.06836 (2017)

4. Bialystok, E., et al.: Bilingualism in Development: Language, Literacy, and Cognition. Cambridge University Press, Cambridge (2001)

5. Bradski, G., Kaehler, A.: OpenCV. Dr. Dobb’s J. Softw. Tools 3, 120 (2000)

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