American sign language recognition and training method with recurrent neural network
Though American sign language (ASL) has gained recognition from the American society, few ASL applications have been developed with educational purposes. Those designed with real-time sign recognition systems are also lacking. Leap motion controller facilitates the real-time and accurate recognition...
Saved in:
Main Authors: | Lee, C. K. M., Ng, Kam K. H., Chen, Chun-Hsien, Lau, H. C. W., Chung, S. Y., Tsoi, Tiffany |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/160679 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
American Sign Language (ASL) to voice translation system using the blackfin microprocessor
by: Co, Emil L., et al.
Published: (2010) -
Facial expression recognition in Filipino sign language
by: Rivera, Joanna Pauline C.
Published: (2017) -
One-handed Filipino sign language recognition glove prototype using image acquisition and neural networks
by: Calolot, Clarice, et al.
Published: (2008) -
Sign language number recognition
by: Sandjaja, Iwan Njoto, et al.
Published: (2009) -
Negation in Singapore sign language
by: Ang, Mary Shu Yi
Published: (2017)