Energy-efficient activity monitoring system using a wearable acceleration sensor

Ik Hyun Youn, Sangil Choi, Jong Hoon Youn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As people pay more attention to their health issues, different types of human activity monitoring systems are emerging in the market. Many researchers have proposed various accelerometer sensor- based mobility monitoring systems. However, the energy efficiency of wearable activity monitoring systems has not been well studied. In this paper, we develop and test an application-level solution for achieving energy savings in a human daily activity monitoring system using a wearable wireless sensor. All functionalities including data processing, activity classification, wireless communication, and storage of classified activities are implemented in a single sensor without degrading the classification accuracy of the activities. Based on the experimental protocol with five major physical activities, the system achieves an average of 98 percent accuracy in classifying these daily activities with significant energy savings.

Original languageEnglish (US)
Title of host publicationMobile and Wireless Technologies 2016
EditorsKuinam J. Kim, Naruemon Wattanapongsakorn, Nikolai Joukov
PublisherSpringer Verlag
Pages69-77
Number of pages9
ISBN (Print)9789811014086
DOIs
StatePublished - 2016
EventInternational Conference on Mobile and Wireless Technology, ICMWT 2016 - Jeju Island, Korea, Republic of
Duration: May 23 2016May 26 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume391
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherInternational Conference on Mobile and Wireless Technology, ICMWT 2016
CountryKorea, Republic of
CityJeju Island
Period5/23/165/26/16

Keywords

  • Accelerometer
  • Energy efficiency
  • Physical activity classification
  • Wearable sensor

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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