Hand Gesture Recognition based Contactless Interaction System Aiming for Reducing the Risk of Corona Virus Crossinfection

Abstract

The corona virus is considered to spread primarily from person to person, apart from close contact between people, corona virus can be spread by contact with contaminated objects or surfaces. In order to minimize the risk of cross-infection, this paper proposes a contactless interaction system with hand gesture recognition to minimize contact between people and ATMs (Automated Teller Machine) being at risk of virus on the surface. Our system converts the detected hand gestures into controlling signals applied in ATMs' functions. Our results show that contactless HCI can be achieved in order to reducing the risk of cross-infection during the pandemic's situation.