Hand gesture recognition in real time environment using deep learning based ensemble method

Abstract

Gestures are the expression of emotions. In social interaction, newlineemotions are a vital non-verbal communication tool because they convey newlinespecific messages effectively. The Gestures are exhibited using the face and newlinehand in static or dynamic form. It also acts as a communication medium newlinebetween computer and human, which differs from traditional hardware and newlinesoftware methods. Researchers have worked to improve the technology in newlinespotting gestures shown with hand, over decades. Hand gesture recognition newlinehas numerous administrations like sign language communication for deaf newlinemute, human computer interaction, virtual reality, visual attention analysis newlineand robotics. newlineThe sign or action for words varies between languages. There are newlinemany countries in world which has only one official language, those countries newlinehave well developed Gesture datasets specific to their language. In a diverse newlinecountry like India which has 121 regional languages, speaking with our own newlinekith and kin is difficult as the sign corresponding to the same word differs in newlinedifferent languages. To overcome this barrier and help the needy the newlineGovernment has taken initiative and defined signs for the commonly used newlinecharacters, numerals and words. newlineThe Indian Government Ministry of Social Justice and newlineEmpowerment have managed to launch the Indian Sign Language(ISL) newlineDictionary for daily used words in recent times. Hand Gestures are used to newlinerecognize ISL alphabets, numerals and words that are in daily use. newline