Finger placement correction for static gesture recognition in American Sign Language
- WCU Author/Contributor (non-WCU co-authors, if there are any, appear on document)
- Veronica Yenquenida Flamenco Cordova (Creator)
- Institution
- Western Carolina University (WCU )
- Web Site: http://library.wcu.edu/
- Advisor
- Robert Adams
Abstract: Within the past few years, research involving gesture recognition has flourished and has
led to new and improved programs assisting people who communicate with sign language
[1–8]. Although numerous approaches have been developed for recognizing gestures [5, 6,
9], very little attention has been focused on American Sign Language (ASL) training for
correcting the placement of individual fingers. Although, it is easy to mimic gestures, it
is difficult to know whether or not you are signing them correctly. This is important in
that most gestures, if made slightly incorrect, convey a completely different word, letter, or
meaning [10]. This research involved developing a computer program to assist in teaching
the correct placement of the fingers when performing ASL. Considering sign language has
a wide range of gestures, the focus of the study is on static gestures which include a few
letters of the alphabet. In order for the program to recognize finger placement, the user
must wear colored latex over the fingertips. Then by using image processing techniques
along with different algorithms, ASL hand gestures made by the user will be compared to
standard images in a database. The program will provide feedback concerning how close
the user is to the reference gesture as well as specific instructions concerning how to correct
the gesture. This is the first step in developing a training/teaching program to help teach
sign language accurately and precisely without the need of face-to-face instruction. Future
studies could lead to more accurate training techniques for a wider range of ASL gestures.
Finger placement correction for static gesture recognition in American Sign Language
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Created on 4/1/2014
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Additional Information
- Publication
- Thesis
- Language: English
- Date: 2014
- Subjects
- American Sign Language -- Study and teaching -- Computer programs
- American Sign Language -- Study and teaching -- Technological innovations
- American Sign Language -- Computer-assisted instruction