{"id":16209,"date":"2019-10-24T14:04:24","date_gmt":"2019-10-24T18:04:24","guid":{"rendered":"https:\/\/michigan.it.umich.edu\/news\/?p=16209"},"modified":"2024-07-08T06:05:15","modified_gmt":"2024-07-08T10:05:15","slug":"could-this-new-technology-finally-end-the-battle-over-the-thermostat","status":"publish","type":"post","link":"https:\/\/michigan.it.umich.edu\/news\/2019\/10\/24\/could-this-new-technology-finally-end-the-battle-over-the-thermostat\/","title":{"rendered":"Could this new technology finally end the battle over the thermostat?"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><a href=\"https:\/\/umdearborn.edu\/news\/articles\/could-new-technology-finally-end-battle-over-thermostat?maxWidth=80%25&amp;maxHeight=80%25&amp;inline=true&amp;title=Thermal%20imaging%20of%20human%20faces%20is%20providing%20key%20data%20in%20a%20research%20project%20focusing%20on%20responsive%20thermostat%20systems.#picture-colorbox-Rd4JfnUhKS\"><img loading=\"lazy\" decoding=\"async\" width=\"545\" height=\"364\" src=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg\" alt=\"image from thermal camera of people's faces\" class=\"wp-image-16212\" srcset=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg 545w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2-200x134.jpg 200w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2-300x200.jpg 300w\" sizes=\"auto, (max-width: 545px) 100vw, 545px\" \/><\/a><figcaption>Thermal imaging of human faces is providing key data in a research project focusing on responsive thermostat systems. (UM-Dearborn News)<\/figcaption><\/figure><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">UM-Dearborn Assistant Professor of Computer and Information Science Mohamed Abouelenien is exploring <a href=\"https:\/\/umdearborn.edu\/news\/articles\/could-new-technology-finally-end-battle-over-thermostat\">whether machine learning can help create a customized, responsive climate control system<\/a> that would automatically detect a person\u2019s level of \u201cthermal comfort\u201d and then make continuous adjustments to their environment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Abouelenien and his collaborator, UM-Flint Associate Professor of Mechanical Engineering Mihai Burzo, used a thermal camera to collect data from 50 research subjects. They used that data to then create a machine learning-based computer model that established a thermal comfort zone for a particular person. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Abouelenien says the obvious application for a technology like this would be in a vehicle cabin, where it could guide an HVAC system that adjusted itself automatically. Plus, there\u2019s a benefit beyond mere comfort: Their algorithmically guided thermostat is more efficient than driver controlled ones, and the energy savings could help improve electric vehicle range. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>UM-Dearborn Assistant Professor of Computer and Information Science Mohamed Abouelenien is exploring whether machine learning can help create a customized, responsive climate control system that would automatically detect a person\u2019s level of \u201cthermal comfort\u201d and then make continuous adjustments to their environment. Abouelenien and his collaborator, UM-Flint Associate Professor of Mechanical Engineering Mihai Burzo, used a thermal camera\u2026 <span class=\"read-more\"><a href=\"https:\/\/michigan.it.umich.edu\/news\/2019\/10\/24\/could-this-new-technology-finally-end-the-battle-over-the-thermostat\/\">Read More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":16212,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_umich_oidc_access":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[5],"tags":[61,36,742,130],"class_list":["post-16209","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news","tag-ai","tag-dearborn","tag-machine-learning","tag-research"],"uagb_featured_image_src":{"full":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg",545,364,false],"thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2-200x134.jpg",200,134,true],"medium":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2-300x200.jpg",300,200,true],"medium_large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg",545,364,false],"large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg",545,364,false],"1536x1536":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg",545,364,false],"2048x2048":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg",545,364,false],"excerpt-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2-200x140.jpg",200,140,true],"themonic-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2-60x42.jpg",60,42,true],"ioslider-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2-545x300.jpg",545,300,true],"post-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg",545,364,false],"400x250-crop":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/10\/tracking-2.jpg",374,250,false]},"uagb_author_info":{"display_name":"News Staff","author_link":"https:\/\/michigan.it.umich.edu\/news\/author\/mitnewsadm\/"},"uagb_comment_info":0,"uagb_excerpt":"UM-Dearborn Assistant Professor of Computer and Information Science Mohamed Abouelenien is exploring whether machine learning can help create a customized, responsive climate control system that would automatically detect a person\u2019s level of \u201cthermal comfort\u201d and then make continuous adjustments to their environment. Abouelenien and his collaborator, UM-Flint Associate Professor of Mechanical Engineering Mihai Burzo, used&hellip;","_links":{"self":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/16209","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/comments?post=16209"}],"version-history":[{"count":3,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/16209\/revisions"}],"predecessor-version":[{"id":16213,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/16209\/revisions\/16213"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media\/16212"}],"wp:attachment":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media?parent=16209"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/categories?post=16209"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/tags?post=16209"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}