An IoT Based Gesture Recognition System for Vocally and Hearing Impaired Individuals

The sign language recognition system is one of the advanced technologies for impaired to communicate with others and it can be utilized by deaf and dumb people by interacting and sharing information with others. At present, the sign language recognition system consists of two types of methodssuch as glove-based and vision-based techniques. The former usesthe gloves in which the sensors are fixed in it to detect the hand gestures while the later uses the camera to detect the hand characteristics of the user for recognizing and translating the sign languages. The paper mainly focuses on implementation of embedded system for communicating with disabled people and normal people where communication is the major challenge faced by deaf and dumb people. Most of the normal people does not understand the signs given by the disabled people and hence this will be more useful for deaf and dumb community. The main objective of the system is to develop user friendly device and to fulfill the basic need of the impaired people and to overcome their difficulty in communication. The system is designed with the flex sensors to detect the hand movements which is attached with the gloves. The gestures are detected by the sensors and the output is givenas text display, so that the user can easily convey their message with others.