The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition

doi:10.1587/transinf.2018EDP7409

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition
	Han, Xinxin 2,3; Ye, Jian 1,3; Luo, Jia 4; Zhou, Haiying 2
刊名	IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
	2020-04-01
卷号	E103D 期号:4 页码:12
关键词	triaxial accelerometer human activity recognition data fusion convolutional neural network
ISSN号	1745-1361
DOI	10.1587/transinf.2018EDP7409
英文摘要	The triaxial accelerometer is one of the most important sensors for human activity recognition (HAR). It has been observed that the relations between the axes of a triaxial accelerometer plays a significant role in improving the accuracy of activity recognition. However, the existing research rarely focuses on these relations, but rather on the fusion of multiple sensors. In this paper, we propose a data fusion-based convolutional neural network (CNN) approach to effectively use the relations between the axes. We design a single-channel data fusion method and multichannel data fusion method in consideration of the diversified formats of sensor data. After obtaining the fused data, a CNN is used to extract the features and perform classification. The experiments show that the proposed approach has an advantage over the CNN in accuracy. Moreover, the single-channel model achieves an accuracy of 98.83% with the WISDM dataset, which is higher than that of state-of-the-art methods.
资助项目	National Key R&D Program of China[2017YFB1302400] ; Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device
WOS研究方向	Computer Science
语种	英语
出版者	IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
WOS记录号	WOS:000530667500011
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/15380]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Luo, Jia
作者单位	1.Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100000, Peoples R China 2.North Univ China, Sch Data Sci, Taiyuan 030051, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 4.Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
推荐引用方式 GB/T 7714	Han, Xinxin,Ye, Jian,Luo, Jia,et al. The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2020,E103D(4):12.
APA	Han, Xinxin,Ye, Jian,Luo, Jia,&Zhou, Haiying.(2020).The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E103D(4),12.
MLA	Han, Xinxin,et al."The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E103D.4(2020):12.