{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T07:43:06Z","timestamp":1655365386450},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T00:00:00Z","timestamp":1655164800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,14]]},"abstract":"<jats:p>Mental illness is a serious health problem that the COVID-19 pandemic has exacerbated due to the new teleworking style. This work style forces isolation and reduces physical activities leading to a work efficiency drop and impaired work-life balance. Despite the current proliferation of IoT-based health measurement means, most of these devices are developed for physicians or cannot build a daily habit and keep the user\u2019s motivation due to design issues. Therefore, mental health measurement tools that can transparently assess the wellness of users daily basis are necessary. This paper proposes a mental health assessment system that smoothly integrates with the user\u2019s toothbrush providing a new generation of smart toothbrushes. Specifically, the designed system combines a gas sensor with the toothbrush for collecting halitosis data (odor, temperature, humidity, pressure) when brushing teeth. The collected data are then leveraged to train Random Forest models that estimate three indexes for two recoveries and one work engagement. To evaluate the proposed method, we collected realistic halitosis data using the smart toothbrush from 12 subjects every day over two months. The results show that the proposed system can obtain F-score of 0.84, 0.81, and 0.80 of Dedication, Vigor, and Absorption, respectively.<\/jats:p>","DOI":"10.3233\/aise220065","type":"book-chapter","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T07:24:28Z","timestamp":1655364268000},"source":"Crossref","is-referenced-by-count":0,"title":["Measuring Health Conditions Every Morning Using a Smart Toothbrush with a Gas Sensor1"],"prefix":"10.3233","author":[{"given":"Satoshi","family":"Yoshimura","sequence":"first","affiliation":[{"name":"Osaka University, Suita-shi, Osaka 565-0871, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teruhiro","family":"Mizumoto","sequence":"additional","affiliation":[{"name":"Osaka University, Suita-shi, Osaka 565-0871, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuki","family":"Matsuda","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology, Ikoma-shi, Nara 630-0192, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keita","family":"Ueda","sequence":"additional","affiliation":[{"name":"NOVENINE, Inc., Osaka-shi, Osaka 542-0081, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akira","family":"Takeyama","sequence":"additional","affiliation":[{"name":"NOVENINE, Inc., Osaka-shi, Osaka 542-0081, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Ambient Intelligence and Smart Environments","Workshops at 18th International Conference on Intelligent Environments (IE2022)"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/AISE220065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T07:24:28Z","timestamp":1655364268000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/AISE220065"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/aise220065","relation":{},"ISSN":["1875-4163","1875-4171"],"issn-type":[{"value":"1875-4163","type":"print"},{"value":"1875-4171","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,14]]}}}