Indoor localization technologies for activity-assisted living: opportunities, challenges, and future directions

Muhammad Zakir Khan, Muhammad Farooq, Ahmad Taha, Adnan Qayyum, Fehaid Alqahtani, Adnan Nadeem Al Hassan, Kamran Arshad, Khaled Assaleh, Shuja Ansari, Muhammad Usman, Muhammad Ali Imran, Qammer H. Abbasi

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

1 Citation (Scopus)

Abstract

Remote health monitoring is becoming more and more desirable as the healthcare industry transitions from hospital-focused to home-focused care, especially with an aging population. The reliability of wireless sensors and communication systems are gaining more trust on monitoring patients’ daily activities in their homes. However, for such systems to be effective, localizing the activities performed in an indoor environment is essential, especially for making decisions during critical moments such as walking or falling, which can lead to mortality and immobility. This chapter explores home-centric activity localization systems (ALSs), covering enabling technologies, challenges, and possible future directions. Additionally, the chapter provides an extensive overview of indoor localization systems that rely on channel state information and analyzes the approaches, techniques, and technologies used for indoor localization. Finally, the chapter compares the results and performance of existing ALSs, followed by a discussion on the technological implementation, open challenges, possible solutions, and future directions.
Original languageEnglish
Title of host publicationAdvances in Computers
EditorsGonçalo Marques
PublisherAcademic Press Inc.
Pages59-98
Number of pages40
ISBN (Print)9780323910897
DOIs
Publication statusPublished - 7 Feb 2024

Publication series

NameAdvances in Computers
Volume133
ISSN (Print)0065-2458

Keywords

  • Activity-assisted living monitoring
  • Artificial intelligence
  • Contactless technology
  • Indoor localization

ASJC Scopus subject areas

  • General Computer Science

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