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 commu...

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Bibliographic Details
Main Authors: Terence Jerome Daim, Razak Mohd Ali Lee
Format: Conference or Workshop Item
Language:English
English
Published: 2022
Subjects:
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
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Institution: Universiti Malaysia Sabah
Language: English
English
Description
Summary: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.