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

doi:10.1109/JSEN.2021.3059304

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

School of Engineering

Research output: Contribution to journal › Review article › peer-review

55 Citations (Scopus)

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.

[Graphic presents]

Original language	English
Pages (from-to)	10369-10391
Number of pages	23
Journal	IEEE Sensors Journal
Volume	21
Issue number	9
Early online date	12 Feb 2021
DOIs	https://doi.org/10.1109/JSEN.2021.3059304
Publication status	Published - 1 May 2021

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10.1109/JSEN.2021.3059304

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title = "Sensor-driven achieving of smart living: a 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.[Graphic presents] ",

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T2 - a review

AU - Leelaarporn, Pitshaporn

AU - Wachiraphan, Patcharapol

AU - Kaewlee, Thitikorn

AU - Udsa, Tinnakit

AU - Chaisaen, Rattanaphon

AU - Choksatchawathi, Tanut

AU - Laosirirat, Rawipreeya

AU - Lakhan, Payongkit

AU - Natnithikarat, Phantharach

AU - Thanontip, Kamonwan

AU - Chen, Wei

AU - Mukhopadhyay, Subhas Chandra

AU - Wilaiprasitporn, Theerawit

PY - 2021/5/1

Y1 - 2021/5/1

N2 - 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.[Graphic presents]

AB - 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.[Graphic presents]

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Sensor-driven achieving of smart living: a review

Abstract

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