Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices
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Self-citation
Flagged first, then by citations
Research works printed but not linked: 4
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- Authors
- Fabris, V. L., de Castro Bastos, F., de Faria, A. C. A. M., da Silva, J. V. N. A., Luiz, P. A., Custódio Silva, R., De Paris, R., & dos Santos, C. F. G.
- Affiliations
- Instituto de Pesquisas Eldorado (BR)
- ORCID
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2023-11-27
- Pages
- 406-419
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4389010737
- Cited by
- 0
- References
- 24
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Social Sciences › Psychology › Developmental and Educational Psychology › Hearing Impairment and Communication
- Keywords
- Brazilian Sign Language (Libras), sign language recognition, mobile devices, 3D convolutional neural networks, inference efficiency, video frame classification, deaf-hearing communication
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