DOI QR코드

DOI QR Code

Periodic Biometric Information Collection Interface Method for Wearable Vulnerable Users

  • Lee, Taegyu (Smart Contents Major, Division of ICT Convergence, Pyeongtaek University)
  • Received : 2021.06.27
  • Accepted : 2021.07.05
  • Published : 2021.09.30

Abstract

Recently, wearable computers equipped with various biosensors such as smart watches, smart bands, and smart patches that support daily health management of users as well as patients have been released. Users of wearable computers such as smart watches face various difficulties in performing biometric information processes such as data sensing, collection, transmission, real-time analysis, and feedback in a weak wireless and mobile biometric information service environment. In particular, the biometric information collection interface is an important basic process that determines the quality and performance of the entire biometric information service. So far, research has focused on sensing hardware and logic. This study intensively considers the interface method for effectively sensing and collecting raw biometric information. In particular, the process of collecting biometric information is designed and analyzed from the perspective of periodicity. Therefore, we propose an efficient and stable periodic collection method.

Keywords

Acknowledgement

This paper was supported by the Research Fund, 2020, Pyeongtaek University in Korea'

References

  1. H. Jiang, X. Chen, S. Zhang, X. Zhang, W. Kong and T. Zhang, "Software for Wearable Devices: Challenges and Opportunities," 2015 IEEE 39th Annual Computer Software and Applications Conference, 2015, pp. 592-597. DOI: https://doi.org/10.1109/COMPSAC.2015.269.
  2. S. Seneviratne, Y. Hu, T. Nguyen, G. Lan, S. Khalifa, K. Thilakarathna, M. Hassan, and A. Seneviratne (2017)," A Survey of Wearable Devices and Challenges," IEEE Communications Surveys & Tutorials. pp. 1-1, DOI: https://doi.org/10.1109/COMST.2017.2731979.
  3. M. Kheirkhahan, S. Nair, A. Davoudi, P. Rashidi, A. A. Wanigatunga, D. B. Corbett, T. Mendoza, T. M. Manini, and S. Ranka, "A smartwatch-based framework for real-time and online assessment and mobility monitoring," Journal of Biomedical Informatics, Vol. 89, 2019, pp. 29-40, DOI: https://doi.org/10.1016/j.jbi.2018.11.003.
  4. C. E. King, and M. Sarrafzadeh, "A Survey of Smart watches in Remote Health Monitoring." Journal of healthcare informatics research, vol. 2,1-2 (2018): pp. 1-24. DOI: https://doi.org/10.1007/s41666-017-0012-7.
  5. D. Bonino, F. Corno and L. D. Russis, "dWatch: A Personal Wrist Watch for Smart Environments." ANT/MobiWIS (2012). Procedia Computer Science, Vol. 10, 2012, pp. 300-307. DOI: https://doi.org/10.1016/j.procs.2012.06.040.
  6. B. Reeder, and A. David (2016). "Health at Hand: A Systematic Review of Smart Watch Uses for Health and Wellness," Journal of biomedical informatics. Vol. 63, pp. 269-276. DOI: http://dx.doi.org/10.1016/j.jbi.2016.09.001.
  7. N. Anggraini, E. R. Kaburuan, G. Wang, and R. Jayadi (2019). "Usability Study and Users' Perception of Smartwatch: Study on Indonesian Customer," Procedia Computer Science. Vol. 161. pp. 1266-1274. DOI: https://doi.org/10.1016/j.procs.2019.11.241.
  8. Jong-Yong Lee and Kye-Dong Jung, "Proposed Architecture for U-Healthcare Systems," The International Journal of Advanced Culture Technology, Vol. 4, pp. 43-46, June 2016. DOI: 10.17703/IJACT.2016.4.2.43
  9. N. Liu (2013), "Bio-privacy: Privacy regulations and the challenge of biometrics," pp. 1-276. DOI: https://doi.org/10.4324/9780203804087.
  10. C. Ebelogu, O. Amujo, O. Adelaiye, and F. Silas (2019). "Privacy Concerns in Biometrics," IEEE-SEM, Vol. 10, Issue 7, Jul. 2019, pp. 45-52.
  11. Jeong-Lae Kim, Gwan-Seok Kim, Jae-Yoon Kim, Han-Na Kim, and Eun-Yiu Jang, "A study of the communication transfer mode of physical signal (EKG, PPG)," The Journal of the Convergence on Culture Technology (JCCT), pp. 55-59, May 2017. DOI: 10.17703/JCCT.2017.3.2.55
  12. Su-Jeong Yun, Sung-IL Hong, and Chi-Ho Lin, "An Efficient Smart Indoor Emotional Lighting Control System based on Android Platform using Biological Signal" Vol. 16, No. 1, pp. 199-207, Feb. 2016. DOI: 10.7236/JIIBC.2016.16.1.199
  13. T. G. LEE (2019). "Data Pattern Modeling for Bio-information Processing based on OpenBCI Platform," The Journal of the Convergence on Culture Technology. The International Promotion Agency of Culture Technology, 5(4), pp. 451-456. DOI: 10.17703/JCCT.2019.5.4.451
  14. W. Zhao (2021). "Logging and Checkpointing," From Traditional Fault Tolerance to Blockchain, pp. 21-62, DOI: https://doi.org/10.1002/9781119682127.ch2.
  15. D. Johnson and W. Zwaenepoel, "Distributed system fault tolerance using message logging and checkpointing," (1990).