Sign Language Gesture Recognition through Computer Vision

This paper presents a study that was conducted as a usability test on an existing gesture recognition system. Computer vision gesture recognition can offer hope in creation of a real time interpreter system that can solve the communication barrier that exists between the deaf and the hearing who don't understand sign language. The objectives of this study were to determine the effectiveness of the system, to determine the efficiency of the system and to determine the satisfaction of the deaf participants on the use of the system. In the study, 7 deaf participants evaluated the usability of the gesture recognition system. The researcher employed observation data collection technique followed by an interview which was facilitated by a sign language teacher. The participants found the system to be effective and efficient. All the participants also appeared to be interested, desire to be involved and were motivated by the system.