100 Best Sign Language Avatars

Notes:

There is a growing interest in technological applications for sign language, with advancements in areas such as the use of sign language avatars and 3D animations for digital representation, and research on sign language recognition, translation, and synthesis using AI and computer vision. Integrating sign language into virtual, augmented, and extended reality applications is also being explored. Challenges and methodologies for developing sign language corpora and language models are discussed, with companies and organizations like Kara Technologies, Signapse, and NHK actively working in this field. Specific sign languages, including American Sign Language (ASL) and Italian Sign Language (LIS) emphasize the diverse focus within the field.

References:

See also:

Automatic Lip Synchronization (Lipsync) | EMBR (Embodied Agents Behavior Realizer) | Kara Technologies | MaryTTS (MARY Text-to-Speech System) | SmartBody

[79x Aug 2024]

Timeline of Sign Language Avatars

2004

  • Adamo-Villani, N., & Wilbur, R. (2010). Software for math and science education for the deaf. Disability and Rehabilitation: Assistive Technology, 5(2), 115–124.

2005

  • Papadogiorgaki, M., Grammalidis, N., Tzovaras, D., & Strintzis, M. G. (2005). Text-to-sign language synthesis tool. 13th European Signal Processing Conference, EUSIPCO 2005, 30, 2521–2524.

2007

  • Oh, Y. J., Park, K. H., & Bien, Z. (2007). Body motion editor for sign language avatar. ICCAS 2007 – International Conference on Control, Automation and Systems, 1752–1757.

2008

  • Vcom3D. (2008). Signing Apps by Vcom3D.

2009

  • Liu, J., Chen, Y., Yan, Q., & Liu, J. (2009). A direct3D-based multi-model e-learning system for Chinese sign language. Proceedings – 2009 International Conference on Digital Image Processing, ICDIP 2009, 100–104.
  • Segouat, J., & Braffort, A. (2009). Toward the study of sign language coarticulation: Methodology proposal. Proceedings of the 2nd International Conferences on Advances in Computer-Human Interactions, ACHI 2009, 1, 369–374.

2010

  • Adamo-Villani, N., Hayward, K., Lestina, J., & Wilbur, R. (2010). Effective animation of sign language with prosodic elements for annotation of digital educational content. In ACM SIGGRAPH 2010 Talks (pp. 1-1).

2011

  • Al-Khalifa, H. S. (2011). On the implementation of text to Arabic Sign Language converter on mobile phones. Technology and Disability, 23(2), 65–74.

2012

  • López-Colino, F., & Colás, J. (2012). Spanish Sign Language synthesis system. Journal of Visual Languages and Computing, 23(3), 121–136.
  • JASigning, 2012
  • San-Segundo, R., Montero, J. M., Córdoba, R., Sama, V., Fernández, F., D’Haro, L. F., López-Ludeña, V., Sánchez, D., & García, A. (2012). Design, development and field evaluation of a Spanish into sign language translation system. Pattern Analysis and Applications, 15(2), 203–224.
  • Signlab Nuevas Tecnologías, 2012

2013

  • de Araújo, T. M. U., Ferreira, F. L. S., dos Santos Silva, D. A. N., Lemos, F. H., Neto, G. P., Omaia, D., de Souza Filho, G. L., & Tavares, T. A. (2013). Automatic generation of Brazilian sign language windows for digital TV systems. Journal of the Brazilian Computer Society, 19(2), 107–125.
  • Adamo-Villani, N., Popescu, V., & Lestina, J. (2013). A non-expert-user interface for posing signing avatars. Disability and Rehabilitation: Assistive Technology, 8(3), 238–248.
  • Vesel, J., & Robillard, T. (2013). Teaching mathematics vocabulary with an interactive signing math dictionary. Journal of Research on Technology in Education, 45(4), 361–389.
  • Bouzid, Y., & Jemni, M. (2013a). An animated avatar to interpret signwriting transcription. 2013 International Conference on Electrical Engineering and Software Applications, ICEESA 2013.
  • Bouzid, Y., & Jemni, M. (2013b). An avatar based approach for automatically interpreting a sign language notation. Proceedings – 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013, 92–94.
  • (Hand Talk, 2013)
  • (ProDeaf, 2013)

2014

  • López-Ludeña, V., González-Morcillo, C., López, J. C. C., Barra-Chicote, R., Cordoba, R., & San-Segundo, R. (2014). Translating bus information into sign language for deaf people. Engineering Applications of Artificial Intelligence, 32, 258–269.
  • Oh, J., Jeon, S., Kim, M., Kwon, H., & Kim, I. (2014). An Avatar-Based Weather Forecast Sign Language System for the Hearing-Impaired. In 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (pp. 519–527).
  • Li, J., Yin, B., Wang, L., & Kong, D. (2014). Chinese Sign Language animation generation considering context. Multimedia Tools and Applications, 71(2), 469–483.
  • Brega, J. R. F., Rodello, I. A., Dias, D. R. C., Martins, V. F., & De Paiva Guimarães, M. (2014). A virtual reality environment to support chat rooms for hearing impaired and to teach Brazilian Sign Language (LIBRAS). Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2014, 433–440.
  • Yang, O., Morimoto, K., & Kuwahara, N. (2014). Evaluation of Chinese Sign Language Animation for Mammography Inspection of Hearing-Impaired People. 2014 IIAI 3rd International Conference on Advanced Applied Informatics, 831–836.

2016

2017

2018

2019

2020

2021