Computer Science ›› 2020, Vol. 47 ›› Issue (10): 1-8.doi: 10.11896/jsjkx.200400092

Special Issue: Mobile Crowd Sensing and Computing

• Mobile Crowd Sensing and Computing • Previous Articles     Next Articles

Review of Human Activity Recognition Based on Mobile Phone Sensors

ZHANG Chun-xiang1, ZHAO Chun-lei1, CHEN Chao1, LUO Hui2   

  1. 1 School of Computer Science and Engineering,Tianjin University of Technology,Tianjin 300384,China
    2 School of Electronic Technology,PLA Information Engineering University,Zhengzhou 450002,China
  • Received:2020-04-21 Revised:2020-08-17 Online:2020-10-15 Published:2020-10-16
  • About author:ZHANG Chun-xiang,born in 1995,master student,is a member of China Computer Federation.His main research interests include data analysis and cyber security.
    ZHAO Chun-lei,born in 1979,Ph.D,associate professor,is a member of China Computer Federation.Her main research interests include cyber security and so on.
  • Supported by:
    Tianjin Natural Science Youth Fund (18JCQNJC69900)

Abstract: All walks of life and daily life are affected by human activities.Human activity recognition (HAR) has a wide range of application,and has been widely concerned.With the gradual development of smart phones,sensors are embedded in the phone to make the phone more intelligent and realize more flexible man-machine interaction.Modern people usually carry smart phones with them,so there is a wealth of information about human activities in the signals of mobile phone sensors.By extracting signals from the phone’s sensors,it is possible to identify users’ activities.Compared with other methods on the strength of computer vision,HAR on account of mobile phone sensors can better reflect the essence of human movements,and has the characteristics of low cost,flexibility and strong portability.In this paper,the current situation of HAR based on mobile phone sensors is described in details,and the system structure and basic principles of the main technologies are described and summarized in details.Finally,the existing problems and future development direction of HAR based on mobile phone sensors are analyzed.

Key words: Data processing, Human activity recognition, Mobile phone sensor, Pattern recognition

CLC Number: 

  • TP391
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