@inproceedings{4be75d778dee4aa6b462e78fb36fd0bf,
title = "Design and implementation of smartphone-based tear volume measurement system",
abstract = "Evaluation of tear volume is important for diagnosing dry eye disease. At the clinical site, dedicated devices such as Slit-lamp Microscopy or Meniscometer have been used to quantify tear volume by ophthalmologist. However, these devices have access only in medical office and therefore have limited availability for the public. Tear volume changes with environmental, physical or psychological situation. For that reason, measurement of tear volume regardless of location, time or circumstances can be beneficial not only for healthcare professionals but also for patients. If tear volume could be measured by using smartphone, it is expected that the smartphone could be utilized as an IoT sensor for the healthcare application. In this study, tear volume measurement system was designed and implemented on smartphone. Further application for smartphone as an IoT device will be discussed.",
keywords = "Dry eye, IoT device, Smartphone, Tear volume",
author = "Yoshiro Okazaki and Tatsuki Takenaga and Taku Miyake and Mamoru Iwabuchi and Toshiyuki Okubo and Norihiko Yokoi",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.; 3rd International Conference on Internet of Things Technologies for HealthCare, HealthyIoT 2016 ; Conference date: 18-10-2016 Through 19-10-2016",
year = "2016",
doi = "10.1007/978-3-319-51234-1_27",
language = "English",
isbn = "9783319512334",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "155--158",
editor = "Wasim Raad and Ahmed, {Mobyen Uddin} and Shahina Begum",
booktitle = "Internet of Things Technologies for HealthCare - 3rd International Conference, HealthyIoT 2016, Revised Selected Papers",
}