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

• Main Authors: Terence Jerome Daim, Razak Mohd Ali Lee
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2022
• Subjects: TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• Online Access: https://eprints.ums.edu.my/id/eprint/33868/3/Hand%20Gesture%20Speed%20Recognition%20and%20Classification%20using%20IR-UWB%20Radar%20Sensor.pdf; https://eprints.ums.edu.my/id/eprint/33868/1/Hand%20Gesture%20Speed%20Recognition%20and%20Classification%20using%20IR-UWB%20Radar%20Sensor%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/33868/; https://ieeexplore.ieee.org/document/9782018

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.