Feasible Personal Identification by Eye Blinking Using Wearable Device

被引:0
|
作者
Suzaki, Kota [1 ]
Shimizu, Koya [1 ]
Oguchi, Kimio [2 ,3 ]
机构
[1] Seikei Univ, Informat Networking Lab, Fac Sci & Technol, Musashino, Tokyo, Japan
[2] Seikei Univ, Informat Networking Lab, Grad Sch, Musashino, Tokyo, Japan
[3] Seikei Univ, Fac Sci & Technol, Musashino, Tokyo, Japan
关键词
blinking; human identification; wearable sensor;
D O I
10.1109/cspa.2019.8696045
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Personal identification remains extremely important for the enhancement of digital lives. Biometrics is a powerful tool for identification, however, special tools, most of which are large and expensive are required. Due to the rapid advances in wearable and/or smart/intelligent sensor technologies, capturing human movements has become easier and is an attractive approach to identification. This paper experimentally reveals the feasibility of using glass type wearable sensors for personal identification based on eye blinking. Several preliminary experiments are performed and the results clarify that the proposed method has potential for human identification.
引用
收藏
页码:266 / 269
页数:4
相关论文
共 50 条
  • [1] Real-life in situ measurement of blinking using a wearable device: establishing a gold standard for spontaneous blinking
    Chen, Jiaying
    Chidi-Egboka, Ngozi Charity
    Jalbert, Isabelle
    Wagner, Peter
    Golebiowski, Blanka
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2021, 62 (08)
  • [2] Multiple Biometric Authentication for Personal Identity using Wearable Device
    Hsiao, Chun-Chieh
    Wang, Shei-Wei
    Lin, Robert
    Lee, Ren-Guey
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 673 - 678
  • [3] A Novel Biometric Approach for Human Identification and Verification Using Eye Blinking Signal
    Abo-Zahhad, M.
    Ahmed, Sabah M.
    Abbas, Sherif N.
    IEEE SIGNAL PROCESSING LETTERS, 2015, 22 (07) : 876 - 880
  • [4] Fall identification in rock climbing using wearable device
    Tonoli, Andrea
    Galluzzi, Renato
    Zenerino, Enrico C.
    Boero, Diego
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART P-JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY, 2016, 230 (03) : 171 - 179
  • [5] Robust Personal Identification Using Wearable Devices Based on LSTM and CNN
    Choi, Jiwoo
    Choi, Sangil
    Kang, Taewon
    JOURNAL OF SENSORS, 2023, 2023
  • [6] Device for estimation of personal psychophysical state using analysis of eye movement
    Usanov D.A.
    Rytik A.P.
    Biomedical Engineering, 2009, 43 (6) : 276 - 278
  • [7] Biometrics Personal Identification by Wearable Pressure Sensor
    Takeda, Takahiro
    Kuramoto, Kei
    Kobashi, Syoji
    Hata, Yutaka
    PROCEEDINGS OF THE 2012 FIFTH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2012), 2012, : 120 - 123
  • [8] Towards a Wearable Device for Controlling a Smartphone with Eye Winks
    Valeriani, Davide
    Matran-Fernandez, Ana
    2015 7TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING CONFERENCE (CEEC), 2015, : 41 - 46
  • [9] Development of a Wearable Device for Tracking Eye Movement using Pupil Lumination Comparison Algorithm
    Caya, Meo Vincent C.
    Mendez, Brent Andrew Q.
    Sanchez, Brian Jacob S.
    Santos, Gabriel F.
    Chung, Wen-Yaw
    2018 IEEE 10TH INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (HNICEM), 2018,
  • [10] The Development of a Brain-Computer Interface for Controlling a Robotic Arm and a Mobile Device by Using the Voluntary Eye Blinking
    Rusanu, Oana Andreea
    2021 INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING (EHB 2021), 9TH EDITION, 2021,