DocumentCode :
3730822
Title :
Sign language learning using the hangman videogame
Author :
Filomena Soares;Jo?o Sena Esteves;Vitor Carvalho;Carlos Moreira;Pedro Louren?o
Author_Institution :
Industrial Electronics Department, Algoritmi Research Centre, University of Minho - Campus of Azur?m, 4800-058 Guimar?es, Portugal
fYear :
2015
Firstpage :
231
Lastpage :
234
Abstract :
This paper describes the preliminary study and development of a videogame aimed at learning the alphabet in Portuguese sign language, through gestures. Leap Motion Controller is used, allowing the detection of fingers and hands with high accuracy and resolution. The project is based on the well-known hangman game. The player inputs the gestures that represent the letters of the alphabet in the sign language. The Leap Trainer framework for gesture and pose learning and recognition was used. This framework is helpful to the development of the proposed game since it allows the recording of a gesture and a subsequent comparison with the recorded gesture, giving a match percentage result. There are many sign language learning games, but they are not interactive. The proposed game is primarily for children but also adequate for adults.
Keywords :
"Gesture recognition","Games","Assistive technology","Thumb","Speech","Speech recognition"
Publisher :
ieee
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2015 7th International Congress on
Electronic_ISBN :
2157-0221
Type :
conf
DOI :
10.1109/ICUMT.2015.7382433
Filename :
7382433
Link To Document :
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