Design and implementation of smartphone-based tear volume measurement system

Yoshiro Okazaki, Tatsuki Takenaga, Taku Miyake, Mamoru Iwabuchi, Toshiyuki Okubo, Norihiko Yokoi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationInternet of Things Technologies for HealthCare - 3rd International Conference, HealthyIoT 2016, Revised Selected Papers
EditorsWasim Raad, Mobyen Uddin Ahmed, Shahina Begum
PublisherSpringer-Verlag
Pages155-158
Number of pages4
ISBN (Print)9783319512334
DOIs
Publication statusPublished - 2016 Jan 1
Externally publishedYes
Event3rd International Conference on Internet of Things Technologies for HealthCare, HealthyIoT 2016 - Vasteras, Sweden
Duration: 2016 Oct 182016 Oct 19

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume187
ISSN (Print)1867-8211

Conference

Conference3rd International Conference on Internet of Things Technologies for HealthCare, HealthyIoT 2016
CountrySweden
CityVasteras
Period16/10/1816/10/19

Keywords

  • Dry eye
  • IoT device
  • Smartphone
  • Tear volume

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Okazaki, Y., Takenaga, T., Miyake, T., Iwabuchi, M., Okubo, T., & Yokoi, N. (2016). Design and implementation of smartphone-based tear volume measurement system. In W. Raad, M. U. Ahmed, & S. Begum (Eds.), Internet of Things Technologies for HealthCare - 3rd International Conference, HealthyIoT 2016, Revised Selected Papers (pp. 155-158). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 187). Springer-Verlag. https://doi.org/10.1007/978-3-319-51234-1_27