A new framework for sign language alphabet hand posture recognition using geometrical features through artificial neural network (part 1)
Hand pose tracking is essential in sign languages. An automatic recognition of performed hand signs facilitates a number of applications, especially for people with speech impairment to communication with normal people. This framework which is called ASLNN proposes a new hand posture recognition tec...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/93501/ http://dx.doi.org/10.1007/s00521-020-05279-7 |
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