Research on Transfer Learning of Vision-based Gesture Recognition

doi:10.1007/s11633-020-1273-9

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	Research on Transfer Learning of Vision-based Gesture Recognition
	Bi-Xiao Wu 3; Chen-Guang Yang 1,3; Jun-Pei Zhong 2
刊名	International Journal of Automation and Computing
	2021
卷号	18 期号:3 页码:422-431
关键词	Transfer learning gesture recognition red-green-blue (RGB) Camera Leap Motion joint distribution adaptation (JDA)
ISSN号	1476-8186
DOI	10.1007/s11633-020-1273-9
英文摘要	Gesture recognition has been widely used for human-robot interaction. At present, a problem in gesture recognition is that the researchers did not use the learned knowledge in existing domains to discover and recognize gestures in new domains. For each new domain, it is required to collect and annotate a large amount of data, and the training of the algorithm does not benefit from prior knowledge, leading to redundant calculation workload and excessive time investment. To address this problem, the paper proposes a method that could transfer gesture data in different domains. We use a red-green-blue (RGB) Camera to collect images of the gestures, and use Leap Motion to collect the coordinates of 21 joint points of the human hand. Then, we extract a set of novel feature descriptors from two different distributions of data for the study of transfer learning. This paper compares the effects of three classification algorithms, i.e., support vector machine (SVM), broad learning system (BLS) and deep learning (DL). We also compare learning performances with and without using the joint distribution adaptation (JDA) algorithm. The experimental results show that the proposed method could effectively solve the transfer problem between RGB Camera and Leap Motion. In addition, we found that when using DL to classify the data,excessive training on the source domain may reduce the accuracy of recognition in the target domain.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44291]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.Foshan Newthinking Intelligent Technology Company Ltd., Foshan 528231, China 2.Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China 3.College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China
推荐引用方式 GB/T 7714	Bi-Xiao Wu,Chen-Guang Yang,Jun-Pei Zhong. Research on Transfer Learning of Vision-based Gesture Recognition[J]. International Journal of Automation and Computing,2021,18(3):422-431.
APA	Bi-Xiao Wu,Chen-Guang Yang,&Jun-Pei Zhong.(2021).Research on Transfer Learning of Vision-based Gesture Recognition.International Journal of Automation and Computing,18(3),422-431.
MLA	Bi-Xiao Wu,et al."Research on Transfer Learning of Vision-based Gesture Recognition".International Journal of Automation and Computing 18.3(2021):422-431.