Journal
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volume 38, Issue 3, Pages 2539-2550Publisher
IOS PRESS
DOI: 10.3233/JIFS-179541
Keywords
Gesture recognition; RGB-D image; multilevel and multimodal fusion; feature extraction
Categories
Funding
- National Natural Science Foundation of China [51575407, 51505349, 51575338, 51575412, 61733011]
- National Defense Pre-Research Foundation of Wuhan University of Science and Technology [GF201705]
- Open Fund of the Key Laboratory for Metallurgical Equipment and Control of Ministry of Education in Wuhan University of Science and Technology [2018B07]
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With the development of human-computer interaction, gesture recognition has gradually become one of the research hotspots. The cost reduction and the richer information of RGB-D images make the research of gesture recognition based on RGB-D images more and more. However, the current gesture processing methods for RGB-D images still can not fully utilize the information contained Aiming at the above problems, this paper studies the feature extraction method of RGB-D image, and proposes a multimodal and multilevel feature extraction method. By extracting multimodal and multilevel image features for mapping and splicing, the utilization of RGB-D image information and the accuracy in recognition are improved effectively. Finally, the experiments verified the effectiveness and robustness of the proposed method based on the self-built gesture database. Compared and analyzed with several other RGB-D processing methods, the processing method of this paper is more advanced and effective, and can achieve better results in gesture recognition.
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