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This paper examines the possibility of recognizing sign language gestures using sensor gloves. Previously sensor gloves are used in games or in applications with custom gestures. This paper explores their use in Sign Language recognition. This is done by implementing a project called "Talking Hands", and studying the results. The project uses a sensor glove to capture the signs of American Sign Language performed by a user and translates them into sentences of English language. Artificial neural networks are used to recognize the sensor values coming from the sensor glove. These values are then categorized in 24 alphabets of English language and two punctuation symbols introduced by the author. So, mute people can write complete sentences using this application.
Mehdi et al. (Tue,) studied this question.