International Journal of Scientific Engineering and Technology
  • Year: 2017
  • Volume: 6
  • Issue: 2

Human Activity Recognition Using Wearable Sensors: Research Review

  • Author:
  • Changwoo Yoon1,, Muhammad Zubair2, Kibong Song1
  • Total Page Count: 5
  • Page Number: 66 to 70

1Hyper-connected Future Technology Research Group, ETRI, Korea

2Information and Communication Network Department, UST, Korea

*E-mail address: cwyoon@etri.re.kr, zubair@etri.re.kr

Online published on 17 April, 2017.

Abstract

Research on activity recognition using wearable sensors has made a significant progress and is catching great attention due to its wide range of innumerable applications in different areas such as medical, security and entertainment. The advancement in sensing technologies, nanotechnologies and embedded system has enabled the development of smart activity monitoring systems and surge the use of wearable sensor for daily life physical activity recognition. Despite physical activity recognition being a hot topic for more than a decade, activity recognition is still a challenging task. In this paper we review the studies done so far on human activity recognition based on wearable sensors and discussed various aspects of these researches.

Keywords

Human activity recognition (HAR), activity monitoring, machine learning