Terence Jerome Daim and Razak Mohd Ali Lee (2022) Hand Gesture Speed Recognition and Classification using IR-UWB Radar Sensor. In: 2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA), 12 May 2022, Selangor, Malaysia.
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Hand Gesture Speed Recognition and Classification using IR-UWB Radar Sensor _ABSTRACT.pdf Download (57kB) |
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keyword: | IR-UWB , Hand gestures , Singular value , Human-computer interaction |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| Department: | FACULTY > Faculty of Engineering |
| Depositing User: | SAFRUDIN BIN DARUN - |
| Date Deposited: | 19 Aug 2022 14:13 |
| Last Modified: | 19 Aug 2022 14:13 |
| URI: | https://eprints.ums.edu.my/id/eprint/33868 |
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