The proposed hand gesture recognition (HGR) system is designed to enhance human-computer interaction (HCI) and human-robot interaction (HRI), which are crucial areas of research aimed at improving the way humans interact with computer or robot systems. With the growing need for intelligent computers and robots in a range of applications, including healthcare, manufacturing, and education, both HCI and HRI have gained significant importance. In this context, the HGR system plays a vital role by enabling natural and intuitive communication between humans and technology through hand gestures. The presented system uses a single camera and efficient image processing techniques that enable real-time gesture detection. Unlike other methods, our approach employs a basic video camera, which is widely available on most computers, eliminating the need for expensive and specialized hardware.
A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction / Ponzi, V.; Iacobelli, E.; Napoli, C.; Starczewski, J.. - 3398:(2022), pp. 52-58. (Intervento presentato al convegno 2022 International Conference of Yearly Reports on Informatics, Mathematics, and Engineering, ICYRIME 2022 tenutosi a Catania; Italy).
A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction
Ponzi V.
Primo
Investigation
;Iacobelli E.
Secondo
Software
;Napoli C.
Penultimo
Supervision
;
2022
Abstract
The proposed hand gesture recognition (HGR) system is designed to enhance human-computer interaction (HCI) and human-robot interaction (HRI), which are crucial areas of research aimed at improving the way humans interact with computer or robot systems. With the growing need for intelligent computers and robots in a range of applications, including healthcare, manufacturing, and education, both HCI and HRI have gained significant importance. In this context, the HGR system plays a vital role by enabling natural and intuitive communication between humans and technology through hand gestures. The presented system uses a single camera and efficient image processing techniques that enable real-time gesture detection. Unlike other methods, our approach employs a basic video camera, which is widely available on most computers, eliminating the need for expensive and specialized hardware.File | Dimensione | Formato | |
---|---|---|---|
Ponzi_A-real_2022.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Creative commons
Dimensione
1.41 MB
Formato
Adobe PDF
|
1.41 MB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.