{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:08:45Z","timestamp":1772302125282,"version":"3.50.1"},"reference-count":15,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100003213","name":"beijing municipal education commission","doi-asserted-by":"publisher","award":["KM201510009005"],"award-info":[{"award-number":["KM201510009005"]}],"id":[{"id":"10.13039\/501100003213","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009546","name":"north china university of technology","doi-asserted-by":"publisher","award":["XN019006"],"award-info":[{"award-number":["XN019006"]}],"id":[{"id":"10.13039\/501100009546","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"national natural science foundation of china","doi-asserted-by":"publisher","award":["61771169"],"award-info":[{"award-number":["61771169"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2019,7]]},"abstract":"<jats:p> Thermal comfort control for indoor environment has become an important issue in smart cities since it is beneficial for people\u2019s health and helps to maximize their working productivity and to provide a livable environment. In this article, we present an Internet of things\u2013based personal thermal comfort model with automatic regulation. This model employs some environment sensors such as temperature sensor and humidity sensor to continuously obtain the general environmental measurements. Specially, video cameras are also integrated into the Internet of things network of sensors to capture the individual\u2019s activity and clothing condition, which are important factors affecting one\u2019s thermal sensation. The individual\u2019s condition image can be mapped into different metabolic rates and different clothing insulations by machine learning classification algorithm. Then, all the captured or converted data are fed into a predicted mean vote model to learn the individual\u2019s thermal comfort level. In the prediction stage, we introduce the cuckoo search algorithm, which converges rapidly, to solve the air temperature and air velocity with the learnt thermal comfort level. Our experiments demonstrate that the metabolic rates and clothing insulation have great effect on personal thermal comfort, and our model with video capture helps to obtain the variant values regularly, thus maintains the individual\u2019s thermal comfort balance in spite of the variations in individual\u2019s activity or clothing. <\/jats:p>","DOI":"10.1177\/1550147719865506","type":"journal-article","created":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T05:39:47Z","timestamp":1564033187000},"page":"155014771986550","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":17,"title":["IoT-based personal thermal comfort control for livable environment"],"prefix":"10.1177","volume":"15","author":[{"given":"Miao","family":"Zang","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, North China University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1595-5032","authenticated-orcid":false,"given":"Zhiqiang","family":"Xing","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, North China University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingqi","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, North China University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"bibr1-1550147719865506","doi-asserted-by":"publisher","DOI":"10.1038\/sj.jea.7500165"},{"key":"bibr2-1550147719865506","volume":"73","author":"Fanger PO.","year":"1967","journal-title":"ASHRAE Tran"},{"key":"bibr3-1550147719865506","volume-title":"Proceedings of the IEEE world forum on internet of things","author":"Laftchiev E"},{"key":"bibr4-1550147719865506","volume-title":"Proceedings of the IEEE international conference on automation science & engineering","author":"Farhan AA"},{"key":"bibr5-1550147719865506","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2016.01.022"},{"key":"bibr6-1550147719865506","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2013.08.009"},{"key":"bibr9-1550147719865506","volume-title":"Thermal environmental conditions for human occupancy","author":"American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE)","year":"2013"},{"key":"bibr10-1550147719865506","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2717949"},{"key":"bibr11-1550147719865506","volume-title":"Indoor climate","author":"McIntyre DA.","year":"1980"},{"key":"bibr14-1550147719865506","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2179533"},{"key":"bibr15-1550147719865506","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1962.1057692"},{"key":"bibr16-1550147719865506","volume-title":"Design and implementation of home environment controller based on human comfort","author":"Juan WX.","year":"2013"},{"key":"bibr17-1550147719865506","first-page":"210","volume-title":"Proceedings of world congress on nature & biologically inspired computing","author":"Yang X-S"},{"key":"bibr18-1550147719865506","first-page":"129","volume":"12","author":"Yang XS.","year":"2012","journal-title":"J Comput Methods Sci Eng"},{"key":"bibr19-1550147719865506","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1700292"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147719865506","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1550147719865506","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147719865506","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T22:39:10Z","timestamp":1568932750000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1177\/1550147719865506"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":15,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2019,7,25]]},"published-print":{"date-parts":[[2019,7]]}},"alternative-id":["10.1177\/1550147719865506"],"URL":"https:\/\/doi.org\/10.1177\/1550147719865506","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"value":"1550-1477","type":"print"},{"value":"1550-1477","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7]]}}}