Sign Language Recognition Using Leap Motion

TítuloSign Language Recognition Using Leap Motion
Tipo de publicaciónConference Paper
Year of Publication2015
AutoresQuesada, L, López, G, Guerrero, LA
EditorGarcía-Chamizo, JM, Fortino, G, Ochoa, SF
Conference NameUbiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information
Date Published12/2015
PublisherSpringer International Publishing
Conference LocationCham
ISBN Number978-3-319-26401-1
Palabras claveAmerican sign language, Automatic sign language recognition, Leap Motion, Support vector machine

Several million people around the world use signs as their main mean of communication. The advances in technologies to recognize such signs will make possible the computer supported interpretation of sign languages. There are more than 137 different sign language around the world; therefore, a system that interprets those languages could be beneficial to all, including the Deaf Community. This paper presents a system based on a hand tracking device called Leap Motion, used for signs recognition. The system uses a Support Vector Machine for sign classification. We performed three different evaluations of our system with over 24 people.