With the rapid development of technology, hand gesture recognition has drawn wide attention due to its versatility and efficiency. Additionally, it is an intuitive way of more natural human-machine interaction. Over the past few years, gesture recognition has made its way in applications varying from sign language to medical assistant to the automotive industry. Moreover, the COVID-19 pandemic has accelerated the demand for touchless technology in public facilities and sanitary equipment. The majority of the research has been devoted to vision-based gesture recognition techniques. Yet, they present significant constraints: Reduced performance in lower visibility conditions and the need for high computational power.