An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence

Rex Liu, Albara Ah Ramli, Huanle Zhang, Erik Henricson, Xin Liu

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

Abstract

With the rapid development of the internet of things (IoT) and artificial intelligence (AI) technologies, human activity recognition (HAR) has been applied in a variety of domains such as security and surveillance, human-robot interaction, and entertainment. Even though a number of surveys and review papers have been published, there is a lack of HAR overview papers focusing on healthcare applications that use wearable sensors. Therefore, we fill in the gap by presenting this overview paper. In particular, we present our projects to illustrate the system design of HAR applications for healthcare. Our projects include early mobility identification of human activities for intensive care unit (ICU) patients and gait analysis of Duchenne muscular dystrophy (DMD) patients. We cover essential components of designing HAR systems including sensor factors (e.g., type, number, and placement location), AI model selection (e.g., classical machine learning models versus deep learning models), and feature engineering. In addition, we highlight the challenges of such healthcare-oriented HAR systems and propose several research opportunities for both the medical and the computer science community.

Original languageEnglish (US)
Title of host publicationInternet of Things - ICIOT 2021 - 6th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Proceedings
EditorsBedir Tekinerdogan, Yingwei Wang, Liang-Jie Zhang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-14
Number of pages14
ISBN (Print)9783030960674
DOIs
StatePublished - 2022
Externally publishedYes
Event6th International Conference on Internet of Things, ICIOT 2021 - Virtual, Online
Duration: Dec 10 2021Dec 14 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12993 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Internet of Things, ICIOT 2021
CityVirtual, Online
Period12/10/2112/14/21

Keywords

  • Artificial intelligence (AI)
  • Healthcare
  • Human activity recognition (HAR)
  • Internet of things (IoT)
  • Wearable sensors

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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