Gestop : Customizable Gesture Control of Computer Systems

Autor:	Krishna, Sriram, Sinha, Nishant
Rok vydání:	2020
Předmět:	Computer Science - Human-Computer Interaction Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
DOI:	10.1145/3430984.3430993
Popis:	The established way of interfacing with most computer systems is a mouse and keyboard. Hand gestures are an intuitive and effective touchless way to interact with computer systems. However, hand gesture based systems have seen low adoption among end-users primarily due to numerous technical hurdles in detecting in-air gestures accurately. This paper presents Gestop, a framework developed to bridge this gap. The framework learns to detect gestures from demonstrations, is customizable by end-users and enables users to interact in real-time with computers having only RGB cameras, using gestures. Comment: 5 pages, 5 figures, to appear in the proceedings of the 8th ACM IKDD CODS and 26th COMAD (CODS-COMAD '21)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2010.13197 Zobrazit plný text záznamu View this record from Arxiv