{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T08:42:59Z","timestamp":1777106579054,"version":"3.51.4"},"reference-count":67,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2020,3,6]],"date-time":"2020-03-06T00:00:00Z","timestamp":1583452800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The market for wearable devices such as smart watches and smart glasses continues to grow rapidly. Smart glasses are attracting particular attention because they offer convenient features such as hands-free augmented reality (AR). Since smart glasses directly touch the face and head, the device with high temperature has a detrimental effect on human physical health. This paper presents a thermal network model in a steady state condition and thermal countermeasure methods for thermal management of future smart glasses. It is accomplished by disassembling the state by wearing smart glasses into some parts, creating the equivalent thermal resistance circuit for each part, approximating heat-generating components such as integrated circuits (ICs) to simple physical structures, setting power consumption to the heat sources, and providing heat transfer coefficients of natural convection in air. The average temperature difference between the thermal network model and a commercial thermal solver is 0.9 \u00b0C when the maximum temperature is 62 \u00b0C. Results of an experiment using the model show that the temperature of the part near the ear that directly touches the skin can be reduced by 51.4% by distributing heat sources into both sides, 11.1% by placing higher heat-generating components farther from the ear, and 65.3% in comparison with all high conductivity materials by using a combination of low thermal conductivity materials for temples and temple tips and high conductivity materials for rims.<\/jats:p>","DOI":"10.3390\/s20051446","type":"journal-article","created":{"date-parts":[[2020,3,6]],"date-time":"2020-03-06T09:26:41Z","timestamp":1583486801000},"page":"1446","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Thermal Model and Countermeasures for Future Smart Glasses"],"prefix":"10.3390","volume":"20","author":[{"given":"Kodai","family":"Matsuhashi","sequence":"first","affiliation":[{"name":"Graduate School of Science and Technology, Hirosaki University, Aomori 036-8560, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6326-6960","authenticated-orcid":false,"given":"Toshiki","family":"Kanamoto","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Hirosaki University, Aomori 036-8560, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atsushi","family":"Kurokawa","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Hirosaki University, Aomori 036-8560, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"28712","DOI":"10.1109\/ACCESS.2018.2831081","article-title":"Interaction methods for smart glasses: A survey","volume":"6","author":"Lee","year":"2018","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"9118","DOI":"10.1109\/ACCESS.2017.2703952","article-title":"Augmented reality smart glasses in the smart factory: Product evaluation guidelines and review of available products","volume":"5","author":"Syberfeldt","year":"2017","journal-title":"IEEE Access"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/MPRV.2015.60","article-title":"Making regular eyeglasses smart","volume":"14","author":"Amft","year":"2015","journal-title":"Pervasive Comput."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Rallapalli, S., Ganesan, A., Chintalapudi, K., Padmanabhan, V.N., and Qiu, L. 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