Integration of Leap Motion sensor with camera for better performance in hand tracking

<p>In this paper, we propose a framework for hand tracking in human-computer interaction applications. Leap Motion is used today as a popular interface in virtual reality and computer games. In this study, we evaluated the merits and drawbacks of this device. The limitations of this device restrict the user’s free movement. The purpose of this study is to find an optimal solution for using Leap Motion. We propose a framework to estimate the pose of the hand in a bigger space around Leap Motion. Our framework uses an integration of Leap Motion with a camera that are placed in two different places to capture the information of the hand from various views. The experiments are designed based on the common tasks in the human-computer interaction applications. The finding of this study demonstrates that the proposed framework increases the precise interaction space.</p>

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Publication Details

Journal
Metaverse
Published
2024-12-10
DOI
https://doi.org/10.54517/m3020
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.37
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article

Integration of Leap Motion sensor with camera for better performance in hand tracking

Hossein Ebrahimnezhad, Khadijeh Mahdikhanlou
1 citations
Metaverse
Hand Gesture Recognition Systems
0.37
article

Integration of Leap Motion sensor with camera for better performance in hand tracking

Hossein Ebrahimnezhad, Khadijeh Mahdikhanlou
article en
1 citations

Abstract

<p>In this paper, we propose a framework for hand tracking in human-computer interaction applications. Leap Motion is used today as a popular interface in virtual reality and computer games. In this study, we evaluated the merits and drawbacks of this device. The limitations of this device restrict the user’s free movement. The purpose of this study is to find an optimal solution for using Leap Motion. We propose a framework to estimate the pose of the hand in a bigger space around Leap Motion. Our framework uses an integration of Leap Motion with a camera that are placed in two different places to capture the information of the hand from various views. The experiments are designed based on the common tasks in the human-computer interaction applications. The finding of this study demonstrates that the proposed framework increases the precise interaction space.</p>

MetaverseVol. 5(2)
Sahand University of Technology (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Hand Gesture Recognition Systems
0.37
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