Hand Gesture Speed Recognition and Classification using IR-UWB Radar Sensor

Human-computer interaction (HCI) is a term that refers to a set of methods and techniques that enable humans to connect with machines and computers. Based on Hand Gesture Recognition (HGR), HCI enables a naturally occurring contactless interface, bringing humans closer to a more natural way of communication. Numerous studies have identified the potential of Impulse Radio-Ultra Wide Band (IR-UWB) radar sensor-based HGR as a future enabler for a diverse variety of applications. This work presents the development of a method to utilise an IR-UWB radar sensor to recognise and classify hand gesture speeds. The findings of the performance tests reveal a very high degree of confidence and accuracy in recognising and classifying hand gestures speeds.

I. Introduction

In the last few years, computational technology has become more and more a part of our daily lives, and we can't avoid interacting with machines. The term "Human-Computer Interface" (HCI) refers to a set of tools and methods that allow people to communicate with devices and computers, and it's used to describe these tools and techniques [1]. For example, hand Gesture Recognition (HGR) is an HCI that doesn't require people to touch each other. This makes it easier for people to have a more natural way of interacting. These interactive HCI models are promising for use in contactless environments like operating rooms [2] and sign language-based communication systems [3].