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Journals / Balkan Journal of Electrical and Computer Engineering / 2021 / Cilt: 9 - Sayı: 3

Real-Time Hand Motion Recognition: A Robust Low-Cost Approach

HASAN ERDİNÇ KOÇER
ANIL BAS
Pages
229–234
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The experimental results show promising performance under various conditions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study presents a robust, low-cost hand motion recognition approach designed to run on low-end computer systems.
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Key Findings & Data:The experimental results show promising performance under various conditions.
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Conclusion & Impact:The method has a wide range of applications where more natural ways of interaction required, such as virtual reality applications, assistive technologies and simulation.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This study presents a robust, low-cost hand motion recognition approach designed to run on low-end computer systems. Our method detects and tracks hand region using realtime images obtained from a low-resolution camera (i.e. webcam) and is not depended on any training or calibration and is not required any special camera apparatus or selectors. The proposed system involves several image processing techniques such as background subtraction, face detection, skin colour detection and template matching. The experimental results show promising performance under various conditions. The method has a wide range of applications where more natural ways of interaction required, such as virtual reality applications, assistive technologies and simulation.

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Cite This Article

KOÇER, H. E., BAS, A. (2022). Real-Time Hand Motion Recognition: A Robust Low-Cost Approach. Balkan Journal of Electrical and Computer Engineering, Cilt: 9 - Sayı: 3, 229–234. https://ajindex.com/articles/460437

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