amsys 17(16): e5

Research Article

Feasibility Study of Smartphone-Based Tear Volume Measurement System

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  • @ARTICLE{10.4108/eai.19-12-2017.153486,
        author={Yoshiro Okazaki and Tatsuki Takenaga and Taku Miyake and Mamoru  Iwabuchi and Toshiyuki Okubo and Norihiko Yokoi},
        title={Feasibility Study of Smartphone-Based Tear Volume Measurement System},
        journal={EAI Endorsed Transactions on Ambient Systems},
        keywords={Smartphone, Tear volume, Dry eye, IoT device},
  • Yoshiro Okazaki
    Tatsuki Takenaga
    Taku Miyake
    Mamoru Iwabuchi
    Toshiyuki Okubo
    Norihiko Yokoi
    Year: 2017
    Feasibility Study of Smartphone-Based Tear Volume Measurement System
    DOI: 10.4108/eai.19-12-2017.153486
Yoshiro Okazaki1,*, Tatsuki Takenaga1, Taku Miyake1, Mamoru Iwabuchi1, Toshiyuki Okubo2, Norihiko Yokoi3
  • 1: Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan
  • 2: Ophthalmology, Tachikawa Sogo Hospital, 4-1 midori-cho, Tachikawa, Tokyo 190-8578, Japan
  • 3: Department of Ophthalmology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan,
*Contact email:


Evaluation of tear volume is important for diagnosing dry eye disease. At the clinical site, dedicated devices such as slit lamp microscopy or Schirmer’s test strip 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. In this study, a tear volume measurement system based on the principle of meniscometry was developed and implemented on the smartphone, and its feasibility was evaluated. It was shown that tear meniscus radii of 22 human subjects were calculated to be mean 0.31 (SD 0.06) mm which was within the range of the previous study. The results suggested the feasibility of tear volume measurement system using the smartphone based on the principle of meniscometry as an IoT sensor.