Recognition of motion state by smartphone sensors using Bi-LSTM neural network

doi:10.3233/JIFS-169709

	Recognition of motion state by smartphone sensors using Bi-LSTM neural network
	Zhao, Hong 1,2; Hou, Chunning 1,2
刊名	JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
	2018
卷号	35 期号:2 页码:1733-1742
关键词	Deep learning Bi-LSTM neural network motion state sensors of smartphone TensorFlow
ISSN号	1064-1246
DOI	10.3233/JIFS-169709
英文摘要	Smartphone has been used for recognizing the different motion activities. However, current studies focus on either improving algorithm factor or adjusting neural network structure factor rather than on time cost factor and actual application factor. A novel method to consider these four factors comprehensively enhancing recognition of motion state accuracy is proposed. An architecture of the Bi-LSTM neural network and the TensorFlow machine learning system are used to classify the motion state and evaluate its experimental results. In addition, the Bi-LSTM neural network is compared with other neural network structures. Meanwhile, using the data captured by the accelerometer sensor and gyroscope sensor of the smartphone tests the Bi-LSTM neural network model. Experimental results show that using Bi-LSTM neural network and TensorFlow machine learning system to extract motion state characteristics, this method makes the motion state identification achieve 86.7% accuracy and the Bi-LSTM neural network model is better than other neural network models considering above four factors. The model of Bi-LSTM neural network can be used for other time-series fields such as signal recognition, action analysis, etc. This study provides a new method, which considers the four factors, to enhance the accuracy of the motion state classification.
资助项目	Natural Science Foundation of China[51668043][61262016] ; CERNET Innovation Project[NGII20160311][NGII20160112]
WOS研究方向	Computer Science
语种	英语
出版者	IOS PRESS
WOS记录号	WOS:000443287900044
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/32858]
专题	计算机与通信学院
通讯作者	Hou, Chunning
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China 2.Lanzhou Univ Technol, Informat Ctr, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Hong,Hou, Chunning. Recognition of motion state by smartphone sensors using Bi-LSTM neural network[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2018,35(2):1733-1742.
APA	Zhao, Hong,&Hou, Chunning.(2018).Recognition of motion state by smartphone sensors using Bi-LSTM neural network.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,35(2),1733-1742.
MLA	Zhao, Hong,et al."Recognition of motion state by smartphone sensors using Bi-LSTM neural network".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 35.2(2018):1733-1742.