Sensor-driven achieving of smart living: a review

Pitshaporn Leelaarporn, Patcharapol Wachiraphan, Thitikorn Kaewlee, Tinnakit Udsa, Rattanaphon Chaisaen, Tanut Choksatchawathi, Rawipreeya Laosirirat, Payongkit Lakhan, Phantharach Natnithikarat, Kamonwan Thanontip, Wei Chen, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn

Research output: Contribution to journalReview articlepeer-review

Abstract

This comprehensive review mainly analyzes and summarizes the recently published works on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research papers, especially in the past five years. We categorize them into four major research directions: activity tracker, affective computing, sleep monitoring, and ingestive behavior. We report each research direction's summary by following our defined sensor types: biomedical sensors, mechanical sensors, non-contact sensors, and others. Furthermore, the review behaves as one-stop service literature appropriate for novices who intend to research the direction of sensor-driven applications towards smart living. In conclusion, the state-of-the-art works, the publicity available data sources, and the future challenge issues (sensor selection, algorithms, and privacy) are the major contributions of this proposed article.

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Original languageEnglish
Pages (from-to)10369-10391
Number of pages23
JournalIEEE Sensors Journal
Volume21
Issue number9
Early online date12 Feb 2021
DOIs
Publication statusPublished - 1 May 2021

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