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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 6
1741-1744,1773

Pedometer method based on self-adaptive double threshold algorithm

Wang Lan
Peng Min
Zhou Qingfeng
School of Computer Science & Information Engineering, Hefei University of Technology, Hefei 230009, China
DOI: 10.19734/j.issn.1001-3695.2018.11.0793

Abstract

To solve the problem that the existing step counting algorithms have poor adaptability to different motion states, this paper proposed a step counting algorithm based on self-adaptive threshold. By using the 3-axis accelerometer sensor in smart bracelet, the proposed algorithm firstly collected the acceleration data when users walked at three frequencies including slow walking, fast walking and running. After five-point filter preprocessing, this algorithm detected peaks and valleys in the self adaptive time window. Then it took the average of the peak mean and valley mean as the upper threshold, and used the valley mean as the lower threshold. Based on this, the algorithm adopted a dynamic threshold analysis to achieve the step counting. Finally, in this algorithm, false steps could also be detected according to the regularity of walking amplitude and frequency. The test shows that the achievable average step counting accuracy of the proposed algorithm is above 91.88% for different users at three different walking frequencies.

Foundation Support

国家自然科学基金资助项目(61601164,61471156)
广东科技规划项目(2016B010108002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0793
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 6
Section: Algorithm Research & Explore
Pages: 1741-1744,1773
Serial Number: 1001-3695(2020)06-027-1741-04

Publish History

[2020-06-05] Printed Article

Cite This Article

王岚, 彭敏, 周清峰. 基于自适应双阈值的计步算法 [J]. 计算机应用研究, 2020, 37 (6): 1741-1744,1773. (Wang Lan, Peng Min, Zhou Qingfeng. Pedometer method based on self-adaptive double threshold algorithm [J]. Application Research of Computers, 2020, 37 (6): 1741-1744,1773. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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