GLOVE-BASED GESTURE RECOGNITION SYSTEM

Among the research topics developing within the Mechatronics Group at Simon Bolivar University, there's a field corresponding to Human-Computer Interaction (HCI), which is the center of this paper, regarding the design and implementation of a hand gesture recognition system, based on the information gathered with a data glove. The data glove sensors convey the degree of flexion in each finger of the hand. Additionally, an accelerometer sensor was placed on top of the glove to acquire the orientation of the hand in three axes. With this information, the system would begin a decision making process based on artificial intelligence tools, like neural networks, to recognize the American Sign Language (ASL) signs for fingerspelling. The whole system is executed by interfacing with a user, to collect the data and display the result of its classification.