AI Article Synopsis
- The review examines the evolution and importance of hand gestures as a universal communication tool, particularly in virtual reality (VR) applications, highlighting advances from the 1990s to today's real-time gesture recognition technology.
- It covers current techniques and challenges in hand gesture detection, categorizing gestures as static or dynamic and discussing their varying levels of detection difficulty.
- Additionally, the paper explores the role of haptic devices in VR, detailing their benefits and challenges, and outlines the process of hand gesture acquisition from input through to pose detection.
Article Abstract
This review explores the historical and current significance of gestures as a universal form of communication with a focus on hand gestures in virtual reality applications. It highlights the evolution of gesture detection systems from the 1990s, which used computer algorithms to find patterns in static images, to the present day where advances in sensor technology, artificial intelligence, and computing power have enabled real-time gesture recognition. The paper emphasizes the role of hand gestures in virtual reality (VR), a field that creates immersive digital experiences through the Ma blending of 3D modeling, sound effects, and sensing technology. This review presents state-of-the-art hardware and software techniques used in hand gesture detection, primarily for VR applications. It discusses the challenges in hand gesture detection, classifies gestures as static and dynamic, and grades their detection difficulty. This paper also reviews the haptic devices used in VR and their advantages and challenges. It provides an overview of the process used in hand gesture acquisition, from inputs and pre-processing to pose detection, for both static and dynamic gestures.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11207792 | PMC |
| http://dx.doi.org/10.3390/s24123760 | DOI Listing |
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