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Hand Gesture Recognition Based on Computer Vision: A Review of Techniques
Munir Oudah1, Ali Al-Naji1,2, Javaan Chahl2
1Electrical Engineering Technical College, Middle Technical University, Baghdad 10022, Iraq.
Journal of Imaging
|August 30, 2021
Summary
This review explores hand gesture recognition techniques, detailing computer vision methods, their performance, and limitations. It provides an overview of various approaches for applications like human-computer interaction and robotics.
Area of Science:
- Computer Science
- Human-Computer Interaction
- Robotics
Background:
- Hand gestures are a vital nonverbal communication method with applications in diverse fields.
- Existing research employs instrumented sensors and computer vision for hand gesture recognition.
- Hand gestures can be classified as static, dynamic, or hybrid, and as posture or gesture.
Purpose of the Study:
- To conduct a comprehensive literature review of hand gesture recognition techniques.
- To analyze the merits and limitations of different hand gesture recognition methods.
- To tabulate and compare the performance of computer vision-based techniques.
Main Methods:
- Literature review focusing on hand gesture recognition techniques.
- Analysis of computer vision methods, including hand segmentation and classification algorithms.
- Tabulation of performance metrics such as detection range, dataset used, and camera types.
Main Results:
- Detailed comparison of various hand gesture recognition techniques, highlighting their strengths and weaknesses.
- Performance data presented for computer vision methods, covering aspects like similarity/difference points and gesture types.
- Identification of drawbacks associated with different approaches.
Conclusions:
- Hand gesture recognition encompasses diverse techniques with varying effectiveness across applications.
- Computer vision-based methods are extensively reviewed, with performance metrics systematically tabulated.
- The paper offers a broad overview of hand gesture methods and potential applications.
