Algorithm Research & Explore
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1081-1085

Basis behavior recognition based on sensors in smartphone

Kong Jing
Guo Yuanbo
Liu Chunhui
Wang Yifeng
Cryptography Engineering Institute, Information Engineering University, Zhengzhou 450001, China

Abstract

To improve the accuracy of human behavior recognition and reduce the complexity of the implementation process, this paper raised a method using the data of acceleration sensor and gyroscoped in smartphone to recognize six kinds of daily basic behaviors. It collected and preprocessed data of acceleration sensor after analyzing the framework of sensor, then it used principal component analysis method combining with existing knowledge to reduce the dimension of the statistical characteristics of the original data. Then it used machine learning algorithm to classify and recognize the behavioral characteristics, which aimed at simplifying the basic behavior recognition process and improving the utilization rate of the data. The experimental result shows that the combination of decision tree and support vector machine classifier is effectual, and the recognition accuracy can be close to 97%.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0728
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Algorithm Research & Explore
Pages: 1081-1085
Serial Number: 1001-3695(2020)04-025-1081-05

Publish History

[2020-04-05] Printed Article

Cite This Article

孔菁, 郭渊博, 刘春辉, 等. 基于智能手机传感器的基础行为识别方法研究 [J]. 计算机应用研究, 2020, 37 (4): 1081-1085. (Kong Jing, Guo Yuanbo, Liu Chunhui, et al. Basis behavior recognition based on sensors in smartphone [J]. Application Research of Computers, 2020, 37 (4): 1081-1085. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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