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We propose\n            <jats:italic toggle=\"yes\">EarMonitor,<\/jats:italic>\n            an interactive, vision-based ear health monitoring system that enables users to examine their ear conditions with a low-cost hand-held endoscope.\n            <jats:italic toggle=\"yes\">EarMonitor<\/jats:italic>\n            can detect six ear health conditions suitable for self-assessment. It can particularly recognize complications from ear diseases, helping users better understand the results. In the wild, our computer vision algorithm achieves a detection sensitivity of 0.949 for earwax buildup and blockage in 100 external auditory canal photos; our deep learning model achieves an average detection sensitivity of 0.861 for the other five conditions considering complications in 350 tympanic membrane photos. We validated\n            <jats:italic toggle=\"yes\">EarMonitor<\/jats:italic>\n            's effectiveness through a user study involving 17 participants and two experts, leading to valuable insights regarding the design and interpretation of non-clinical assessment devices.\n          <\/jats:p>","DOI":"10.1145\/3676499","type":"journal-article","created":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T13:17:48Z","timestamp":1727183868000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["EarMonitor: Non-clinical Assessment of Ear Health Conditions Using a Low-cost Endoscope Camera on Smartphones"],"prefix":"10.1145","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7239-3769","authenticated-orcid":false,"given":"Xiaofu","family":"Jin","sequence":"first","affiliation":[{"name":"The Hong Kong University Science and Technology, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0356-4712","authenticated-orcid":false,"given":"Mingming","family":"Fan","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou) &amp; The Hong Kong University of Science and Technology, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,9,24]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"John Jacob Ballenger and James Byron Snow. 2003. 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