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- W2129066766 abstract "Within the past few years, research involving gesture recognition has flourished and hasled 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 forcorrecting the placement of individual fingers. Although, it is easy to mimic gestures, itis difficult to know whether or not you are signing them correctly. This is important inthat most gestures, if made slightly incorrect, convey a completely different word, letter, ormeaning [10]. This research involved developing a computer program to assist in teachingthe correct placement of the fingers when performing ASL. Considering sign language hasa wide range of gestures, the focus of the study is on static gestures which include a fewletters of the alphabet. In order for the program to recognize finger placement, the usermust wear colored latex over the fingertips. Then by using image processing techniquesalong with different algorithms, ASL hand gestures made by the user will be compared tostandard images in a database. The program will provide feedback concerning how closethe user is to the reference gesture as well as specific instructions concerning how to correctthe gesture. This is the first step in developing a training/teaching program to help teachsign language accurately and precisely without the need of face-to-face instruction. Futurestudies could lead to more accurate training techniques for a wider range of ASL gestures." @default.
- W2129066766 created "2016-06-24" @default.
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- W2129066766 date "2014-01-01" @default.
- W2129066766 modified "2023-09-26" @default.
- W2129066766 title "Finger placement correction for static gesture recognition in American Sign Language" @default.
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