Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network

doi:10.1155/2022/1580134

	Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network
	Wang, Baoying
	2022
发表期刊	Journal of Healthcare Engineering
ISSN	2040-2295 ; 2040-2309
EISSN	2040-2309
卷号	2022
摘要	With the rapid development of society and science technology, human health issues have attracted much attention due to wearable devices' ability to provide high-quality sports, health, and activity monitoring services. This paper proposes a method for feature extraction of wearable sensor data based on a convolutional neural network (CNN). First, it uses the Kalman filter to fuse the data to obtain a preliminary state estimation, and then it uses CNN to recognize human behavior, thereby obtaining the corresponding behavior set. Moreover, this paper conducts experiments on 5 datasets. The experimental results show that the method in this paper extracts data features at multiple scales while fully maintaining data independence, can effectively extract corresponding feature data, and has strong generalization ability, which can adapt to different learning tasks. © 2022 Baoying Wang.
关键词	Behavioral research Convolutional neural networks Data mining Extraction Feature extraction Wearable sensors Convolutional neural network Data feature Feature extraction methods Health issues Health monitoring High quality Human health Science technologies Sport monitoring Wearable devices
DOI	10.1155/2022/1580134
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Health Care Sciences & Services
WOS类目	Health Care Sciences & Services
WOS记录号	WOS:000780075100008
出版者	Hindawi Limited
EI入藏号	20220711626773
EI主题词	Convolution
EI分类号	461.4 Ergonomics and Human Factors Engineering ; 716.1 Information Theory and Signal Processing ; 723.2 Data Processing and Image Processing ; 802.3 Chemical Operations ; 971 Social Sciences
原始文献类型	Journal article (JA)
出版地	LONDON
WOS关键词	DEVICES
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/13459
专题	电子与物联网学院
作者单位	College of Electronics and Internet of Things, Chongqing College of Electronic Engineering, Chongqing; 401331, China
第一作者单位	重庆电子科技职业大学
推荐引用方式 GB/T 7714	Wang, Baoying. Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network[J]. Journal of Healthcare Engineering,2022,2022.
APA	Wang, Baoying.(2022).Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network.Journal of Healthcare Engineering,2022.
MLA	Wang, Baoying."Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network".Journal of Healthcare Engineering 2022(2022).