HCCVOct 25, 2020

Gestop : Customizable Gesture Control of Computer Systems

arXiv:2010.13197v112 citations
Originality Incremental advance
AI Analysis

It addresses the need for intuitive touchless interfaces for computer users, but appears incremental as it builds on existing gesture detection methods.

The paper tackles the problem of low adoption of hand gesture control for computers due to inaccurate detection, presenting Gestop, a framework that learns from demonstrations and allows customizable real-time interaction using only RGB cameras.

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.

Code Implementations2 repos
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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