Skip to main content
SpringerLink
Log in

Heart Rate Variability for Biometric Authentication Using Time-Domain Features

  • Conference paper
  • First Online:
Security in Computing and Communications (SSCC 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 536))

Included in the following conference series:

Abstract

Heart Rate Variability (HRV) is a natural property found in heart rate. Medical science since last two decades has been beholding on it as a diagnostic and prognostic tool. This study is intended towards harnessing the HRV property of heart for authentication purpose. For measuring the RR-Interval for HRV analysis, we used photoplethysmography (PPG) based pulse sensor and in-house designed microcontroller based RR-Interval measurement system. Data acquisition is done on PC via serial-to-USB bridge adaptor. Seven Time domain features are generated using standard statistical techniques. Out of 10 samples of each subject, five are used for template creations and other five are used for testing. The system resulted in 17 % EER. The FAR & FRR graph against threshold and the ROC curve are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. da Silva, H.P., Lourenço, A., Fred, A., Raposo, N., Aires-de-Sousa, M.: Check your biosignals here: a new dataset for off-the-person ECG biometrics. Comput. Methods Programs Biomed. 113, 503–514 (2014)

    Article  Google Scholar 

  2. Singh, Y.N., Singh, S.K., Ray, A.K.: Bioelectrical signals as emerging biometrics: issues and challenges. ISRN Signal Process. 2012, 1–13 (2012)

    Article  Google Scholar 

  3. Ross, A.: An introduction to multibiometrics (2007)

    Google Scholar 

  4. Agrafioti, F.:. ECG in biometric recognition: time dependency and application challenges (2011)

    Google Scholar 

  5. Khandait, P., Bawane, N., Limaye, S.: Features extraction of ECG signal for detection of cardiac arrhythmias. Int. J. Comput. Appl. 8, 6–10 (2012)

    Google Scholar 

  6. Akhter, N., Mahdi, J.F., Manza, G.R., Registrar, D.: Microcontroller based data acquisition system for heart rate variability (HRV). Measurement 1, 576–583 (2012)

    Google Scholar 

  7. Akhter, N., Tharewal, S., Kale, V., Bhalerao, A., Kale, K.V.: Heart based biometrics and use of heart rate variability in human identification systems. In: 2nd International Doctoral Symposium, 23–25 May 2015

    Google Scholar 

  8. Acharya, U.R., Joseph, K.P., Kannathal, N., Lim, C.M., Suri, J.S.: Heart rate variability: a review. Med. Biol. Eng. Comput. 44, 1031–1051 (2006)

    Article  Google Scholar 

  9. Malik, M., Bigger, J.T., Camm, A.J., Kleiger, R.E., Malliani, A., Moss, A.J., Schwartz, P.J.: Heart rate variability. Eur. Heart J. 17, 354–381 (1996)

    Article  Google Scholar 

  10. Akhter, N., Tharewal, S., Gite, H., Kale, K.V.: Microcontroller based RR-interval measurement using PPG signals for hear variability based biometric application. In: International Symposium on Emerging Topics in Circuits and Systems, 10–13 August 2015

    Google Scholar 

  11. Akhter, N., Gite, H., Tharewal, S., Kale, K.V.: Computer based RR-interval detection system with ectopy correction in HRV data. In: International Conference on Advances in Computing, Communications and Informatics, 10–13 August 2015

    Google Scholar 

  12. Miyamoto, M., Ichimaru, Y., Katayama, S.: Heart rate variability. Nippon Rinsho. 50, 717–722 (1992)

    Google Scholar 

Download references

Acknowledgement

This work was carried out in Multimodal System Development laboratory established under UGC’s SAP scheme SAP (II) DRS Phase-I F. No.-3-42/2009 & SAP (II) DRS Phase-II F. No.4-15/2015. This work was also supported by UGC under One Time Research Grant F. No. 4-10/2010 (BSR) & 19-132/2014 (BSR).The authors acknowledge UGC for the same. The authors also acknowledge UGC for providing BSR fellowship.

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, MS, India

    Nazneen Akhter, Hanumant Gite & Karbhari Kale

  2. Department of Physics and Electronics, Maulana Azad College of Arts, Science and Commerce, Dr. Rafiq Zakaria Campus, Aurangabad, MS, India

    Gulam Rabbani

Authors
  1. Nazneen Akhter
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hanumant Gite
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gulam Rabbani
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Karbhari Kale
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nazneen Akhter .

Editor information

Editors and Affiliations

  1. Deakin University, Geelong, Victoria, Australia

    Jemal H. Abawajy

  2. IBM Research-India, New Delhi, India

    Sougata Mukherjea

  3. Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  4. University of Murcia, Espinardo, Murcia, Spain

    Antonio Ruiz-Martínez

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Akhter, N., Gite, H., Rabbani, G., Kale, K. (2015). Heart Rate Variability for Biometric Authentication Using Time-Domain Features. In: Abawajy, J., Mukherjea, S., Thampi, S., Ruiz-Martínez, A. (eds) Security in Computing and Communications. SSCC 2015. Communications in Computer and Information Science, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-319-22915-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-22915-7_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22914-0

  • Online ISBN: 978-3-319-22915-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation