Sensor-Driven Achieving of Smart Living: A Review
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, affectiv...
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| Veröffentlicht in: | IEEE sensors journal 2021-05, Vol.21 (9), p.10369-10391 |
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| container_title | IEEE sensors journal |
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| creator | Leelaarporn, Pitshaporn Wachiraphan, Patcharapol Kaewlee, Thitikorn Udsa, Tinnakit Chaisaen, Rattanaphon Choksatchawathi, Tanut Laosirirat, Rawipreeya Lakhan, Payongkit Natnithikarat, Phantharach Thanontip, Kamonwan Chen, Wei Mukhopadhyay, Subhas Chandra Wilaiprasitporn, Theerawit |
| description | 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. |
| doi_str_mv | 10.1109/JSEN.2021.3059304 |
| format | Article |
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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.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2021.3059304</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>activity tracker ; Affective computing ; Algorithms ; Biomedical monitoring ; Biosensors ; ingestive behaviour ; Intelligent sensors ; Mechanical sensors ; Monitoring ; Scientific papers ; Sensors ; sleep monitoring ; Smart living ; Tracking devices</subject><ispartof>IEEE sensors journal, 2021-05, Vol.21 (9), p.10369-10391</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-ed30789a9a34e13695135ab4749ca2bddfc75bb871136f8ba3457255affc2d013</citedby><cites>FETCH-LOGICAL-c293t-ed30789a9a34e13695135ab4749ca2bddfc75bb871136f8ba3457255affc2d013</cites><orcidid>0000-0001-9061-0862 ; 0000-0002-8600-5907 ; 0000-0003-1521-9956 ; 0000-0001-5070-2340 ; 0000-0003-2226-654X ; 0000-0003-4941-4354 ; 0000-0001-8755-875X ; 0000-0003-3720-718X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9354179$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9354179$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Leelaarporn, Pitshaporn</creatorcontrib><creatorcontrib>Wachiraphan, Patcharapol</creatorcontrib><creatorcontrib>Kaewlee, Thitikorn</creatorcontrib><creatorcontrib>Udsa, Tinnakit</creatorcontrib><creatorcontrib>Chaisaen, Rattanaphon</creatorcontrib><creatorcontrib>Choksatchawathi, Tanut</creatorcontrib><creatorcontrib>Laosirirat, Rawipreeya</creatorcontrib><creatorcontrib>Lakhan, Payongkit</creatorcontrib><creatorcontrib>Natnithikarat, Phantharach</creatorcontrib><creatorcontrib>Thanontip, Kamonwan</creatorcontrib><creatorcontrib>Chen, Wei</creatorcontrib><creatorcontrib>Mukhopadhyay, Subhas Chandra</creatorcontrib><creatorcontrib>Wilaiprasitporn, Theerawit</creatorcontrib><title>Sensor-Driven Achieving of Smart Living: A Review</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>This comprehensive review mainly analyzes and summarizes the recently published works on IEEExplore in sensor-driven smart living contexts. 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| issn | 1530-437X 1558-1748 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | activity tracker Affective computing Algorithms Biomedical monitoring Biosensors ingestive behaviour Intelligent sensors Mechanical sensors Monitoring Scientific papers Sensors sleep monitoring Smart living Tracking devices |
| title | Sensor-Driven Achieving of Smart Living: A Review |
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