research-article

Unlock with Your Heart: Heartbeat-based Authentication on Commercial Mobile Phones

Authors:

Qing GuAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2, Issue 3

Article No.: 140, Pages 1 - 22

https://doi.org/10.1145/3264950

Published: 18 September 2018 Publication History

Abstract

In this paper, we propose to use the vibration of the chest in response to the heartbeat as a biometric feature to authenticate the user on mobile devices. We use the built-in accelerometer to capture the heartbeat signals on commercial mobile phones. The user only needs to press the phone on his/her chest, and the system can identify the user within a few heartbeats. To reliably extract heartbeat features, we design a two-step alignment scheme that can handle the natural variability in human heart rates. We further use an adaptive template selection scheme to authenticate the user under different body postures and body states. Based on heartbeat signals collected on twenty users, the experimental results show that our method can achieve an authentication accuracy of 96.49% and the heartbeat features are stable over a period of three months.

References

[1]

Fadel Adib, Hongzi Mao, Zachary Kabelac, Dina Katabi, and Robert C Miller. 2015. Smart homes that monitor breathing and heart rate. In Proceedings of ACM CHI.

Digital Library

[2]

Foteini Agrafioti, Jiexin Gao, and Dimitrios Hatzinakos. 2011. Heart biometrics: Theory, methods and applications. In Biometrics. InTech.

[3]

Foteini Agrafioti and Dimitrios Hatzinakos. 2010. Signal validation for cardiac biometrics. In Proceedings of IEEE ICASSP.

[4]

Federico Alegre, Asmaa Amehraye, and Nicholas Evans. 2013. Spoofing countermeasures to protect automatic speaker verification from voice conversion. In Proceedings of IEEE ICASSP.

[5]

Kamran Ali, Alex X. Liu, Wei Wang, and Muhammad Shahzad. 2015. Keystroke Recognition Using Wi-Fi Signals. In Proceedings of ACM MobiCom.

Digital Library

[6]

Juan Sebastian Arteaga-Falconi, Hussein Al Osman, and Abdulmotaleb El Saddik. 2016. ECG authentication for mobile devices. IEEE Transactions on Instrumentation and Measurement 65, 3 (2016), 591--600.

[7]

Mossab Baloul, Estelle Cherrier, and Christophe Rosenberger. 2012. Challenge-based speaker recognition for mobile authentication. In Proceedings of IEEE BIOSIG.

[8]

Christoph Bruser, Kurt Stadlthanner, Stijn de Waele, and Steffen Leonhardt. 2011. Adaptive beat-to-beat heart rate estimation in ballistocardiograms. IEEE Transactions on Information Technology in Biomedicine 15, 5 (2011), 778--786.

Digital Library

[9]

Paolo Castiglioni, Andrea Faini, Gianfranco Parati, and Marco Di Rienzo. 2007. Wearable seismocardiography. In Proceedings of IEEE EMBS.

[10]

Chih-Chung Chang and Chih-Jen Lin. 2011. LIBSVM: a library for support vector machines. ACM transactions on intelligent systems and technology (TIST) 2, 3 (2011), 27.

Digital Library

[11]

Jagmohan Chauhan, Yining Hu, Suranga Seneviratne, Archan Misra, Aruna Seneviratne, and Youngki Lee. 2017. BreathPrint: Breathing acoustics-based user authentication. In Proceedings of ACM MobiSys.

Digital Library

[12]

Tilendra Choudhary and M Sabarimalai Manikandan. 2015. A novel unified framework for noise-robust ECG-based biometric authentication. In Proceedings of IEEE SPIN.

[13]

Phillip L De Leon, Michael Pucher, Junichi Yamagishi, Inma Hernaez, and Ibon Saratxaga. 2012. Evaluation of speaker verification security and detection of HMM-based synthetic speech. IEEE Transactions on Audio, Speech, and Language Processing 20, 8 (2012), 2280--2290.

Digital Library

[14]

Marco Di Rienzo, Paolo Meriggi, Francesco Rizzo, Emanuele Vaini, Andrea Faini, Giampiero Merati, Gianfranco Parati, and Paolo Castiglioni. 2011. A wearable system for the seismocardiogram assessment in daily life conditions. In Proceedings of IEEE EMBC.

[15]

Marco Di Rienzo, Emanuele Vaini, Paolo Castiglioni, Prospero Lombardi, Gianfranco Parati, Carolina Lombardi, Paolo Meriggi, and Francesco Rizzo. 2014. Wearable seismocardiography for the beat-to-beat assessment of cardiac intervals during sleep. In Proceedings of IEEE EMBC.

[16]

M Di Rienzo, E Vaini, P Castiglioni, G Merati, P Meriggi, G Parati, A Faini, and F Rizzo. 2013. Wearable seismocardiography: Towards a beat-by-beat assessment of cardiac mechanics in ambulant subjects. Autonomic Neuroscience: Basic and Clinical 178, 1 (2013), 50--59.

[17]

Nesli Erdogmus and Sebastien Marcel. 2014. Spoofing face recognition with 3D masks. IEEE transactions on information forensics and security 9, 7 (2014), 1084--1097.

Digital Library

[18]

Mohammed E Fathy, Vishal M Patel, and Rama Chellappa. 2015. Face-based active authentication on mobile devices. In Proceedings of IEEE ICASSP. 1687--1691.

[19]

Huan Feng, Kassem Fawaz, and Kang G Shin. 2017. Continuous authentication for voice assistants. In Proceedings of ACM MobiCom.

Digital Library

[20]

David Friedrich, Xavier L Aubert, Hartmut Führ, and Andreas Brauers. 2011. Heart rate estimation on a beat-to-beat basis via ballistocardiography-a hybrid approach. In Proceedings of IEEE EMBC.

[21]

Guodong Guo, Lingyun Wen, and Shuicheng Yan. 2014. Face authentication with makeup changes. IEEE Transactions on Circuits and Systems for Video Technology 24, 5 (2014), 814--825.

[22]

John E Hall. 2011. Guyton and Hall textbook of medical physiology. Philadelphia, PA: Saunders Elsevier (2011), 107.

[23]

Takahiro Hashizume, Takuya Arizono, and Koji Yatani. 2018. Auth'n'Scan: Opportunistic Photoplethysmography in Mobile Fingerprint Authentication. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 137.

Digital Library

[24]

Chenyu Huang, Huangxun Chen, Lin Yang, and Qian Zhang. 2018. BreathLive: Liveness Detection for Heart Sound Authentication with Deep Breathing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 1 (2018), 12.

Digital Library

[25]

Mohammad Shamim Imtiaz, Rajeena Shrestha, Talwinder Dhillon, Kazi Ata Yousuf, Bilal Saeed, Anh Dinh, and Khan Wahid. 2013. Correlation between seismocardiogram and systolic blood pressure. In Proceedings of IEEE CCECE.

[26]

Omer T Inan, Pierre-Francois Migeotte, Kwang-Suk Park, Mozziyar Etemadi, Kouhyar Tavakolian, Ramon Casanella, John Zanetti, Jens Tank, Irina Funtova, G Kim Prisk, et al. 2015. Ballistocardiography and seismocardiography: A review of recent advances. IEEE journal of biomedical and health informatics 19, 4 (2015), 1414--1427.

[27]

John M Irvine, Steven A Israel, W Todd Scruggs, and William J Worek. 2008. eigenPulse: Robust human identification from cardiovascular function. Pattern Recognition 41, 11 (2008), 3427--3435.

Digital Library

[28]

Steven A Israel, John M Irvine, Andrew Cheng, Mark D Wiederhold, and Brenda K Wiederhold. 2005. ECG to identify individuals. Pattern recognition 38, 1 (2005), 133--142.

Digital Library

[29]

Zhenhua Jia, Musaab Alaziz, Xiang Chi, Richard E Howard, Yanyong Zhang, Pei Zhang, Wade Trappe, Anand Sivasubramaniam, and Ning An. 2016. HB-phone: a bed-mounted geophone-based heartbeat monitoring system. In Proceedings of ACM/IEEE IPSN.

Digital Library

[30]

Zhenhua Jia, Amelie Bonde, Sugang Li, Chenren Xu, Jingxian Wang, Yanyong Zhang, Richard E Howard, and Pei Zhang. 2017. Monitoring a Person's Heart Rate and Respiratory Rate on a Shared Bed Using Geophones. In Proceedings of ACM SenSys.

Digital Library

[31]

Chaouki Kasmi and Jose Lopes Esteves. 2015. IEMI threats for information security: Remote command injection on modern smartphones. IEEE Transactions on Electromagnetic Compatibility 57, 6 (2015), 1752--1755.

[32]

Arnold M Katz. 2010. Physiology of the Heart. Lippincott Williams 8 Wilkins.

[33]

Risto Korpinen, Laila Saarnivaara, and K Siren. 1995. QT interval of the ECG, heart rate and arterial pressure during anaesthetic induction: comparative effects of alfentanil and esmolol. Acta anaesthesiologica scandinavica 39, 6 (1995), 809--813.

[34]

Masaki Kyoso and Akihiko Uchiyama. 2001. Development of an ECG identification system. In Proceedings of IEEE Engineering in medicine and biology society.

[35]

Federica Landreani, Mattia Morri, Alba Martin-Yebra, Claudia Casellato, Esteban Pavan, Carlo Frigo, and Enrico G Caiani. 2017. Ultra-short-term heart rate variability analysis on accelerometric signals from mobile phone. In Proceedings of IEEE EHB.

[36]

Alexandre Laurin, Andrew Blaber, and Kouhyar Tavakolian. 2013. Seismocardiograms return valid heart rate variability indices. In Proceedings of IEEE CinC.

[37]

Jeongwhan Lee, Keesam Jeong, Jiyoung Yoon, and Myoungho Lee. 1996. A simple real-time QRS detection algorithm. In Proceedings of IEEE Engineering in Medicine and Biology Society.

[38]

Ming Li and Xin Li. 2014. Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion. In Proceedings of IEEE ICASSP.

[39]

Feng Lin, Chen Song, Yan Zhuang, Wenyao Xu, Changzhi Li, and Kui Ren. 2017. Cardiac Scan: A Non-contact and Continuous Heart-based User Authentication System. In Proceedings of ACM MobiCom.

Digital Library

[40]

Jian Liu, Yan Wang, Yingying Chen, Jie Yang, Xu Chen, and Jerry Cheng. 2015. Tracking vital signs during sleep leveraging off-the-shelf Wi-Fi. In Proceedings of ACM MobiHoc.

Digital Library

[41]

David C Mack, James T Patrie, Paul M Suratt, Robin A Felder, and Majd Alwan. 2009. Development and preliminary validation of heart rate and breathing rate detection using a passive, ballistocardiography-based sleep monitoring system. IEEE Transactions on Information Technology in Biomedicine 13, 1 (2009), 111--120.

Digital Library

[42]

Marek Malik. 1996. Heart rate variability. Annals of Non-invasive Electrocardiology 1, 2 (1996), 151--181.

[43]

Tsutomu Matsumoto, Hiroyuki Matsumoto, Koji Yamada, and Satoshi Hoshino. 2002. Impact of artificial "gummy" fingers on fingerprint systems. In Optical Security and Counterfeit Deterrence Techniques IV, Vol. 4677. 275--290.

[44]

Reham Mohamed and Moustafa Youssef 2017. HeartSense: Ubiquitous Accurate Multi-Modal Fusion-based Heart Rate Estimation Using Smartphones. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

Digital Library

[45]

Dietmar Mücke. 1996. Elektrokardiographie systematisch. UNI-MED-Verlag.

[46]

B Neubauer and HJ Gundersen. 1978. Analysis of heart rate variations in patients with multiple sclerosis. A simple measure of autonomic nervous disturbances using an ordinary ECG. Journal of Neurology, Neurosurgery 8 Psychiatry 41, 5 (1978), 417--419.

[47]

Lawrence O'Gorman. 2003. Comparing passwords, tokens, and biometrics for user authentication. Proc. IEEE 91, 12 (2003), 2021--2040.

[48]

Medha Pandit and Josef Kittler. 1998. Feature selection for a DTW-based speaker verification system. In Proceedings of IEEE ICASSP.

[49]

Giuseppe Petracca, Yuqiong Sun, Trent Jaeger, and Ahmad Atamli. 2015. Audroid: Preventing attacks on audio channels in mobile devices. In Proceedings of ACM ACSAC.

Digital Library

[50]

Konstantinos N Plataniotis, Dimitrios Hatzinakos, and Jimmy KM Lee. 2006. ECG biometric recognition without fiducial detection. In Proceedings of IEEE Biometric Consortium Conference.

[51]

Kun Qian, Chenshu Wu, Fu Xiao, Yue Zheng, Yi Zhang, Zheng Yang, and Yunhao Liu. 2018. Acousticcardiogram: Monitoring Heartbeats using Acoustic Signals on Smart Devices. In Proceedings of IEEE INFOCOM.

Digital Library

[52]

J Ramos-Castro, J Moreno, H Miranda-Vidal, MA Garcia-Gonzalez, Mireya Fernández-Chimeno, G Rodas, and Ll Capdevila. 2012. Heart rate variability analysis using a seismocardiogram signal. In Proceedings of IEEE EMBS.

[53]

Nalini K Ratha, Ruud M Bolle, Vinayaka D Pandit, and Vaibhav Vaish. 2000. Robust fingerprint authentication using local structural similarity. In Proceedings of IEEE Workshop on Applications of Computer Vision.

[54]

Florian Schaub, Ruben Deyhle, and Michael Weber. 2012. Password entry usability and shoulder surfing susceptibility on different smartphone platforms. In Proceedings of ACM MUM.

Digital Library

[55]

Nabilah Shabrina, Tsuyoshi Isshiki, and Hiroaki Kunieda. 2016. Fingerprint authentication on touch sensor using Phase-Only Correlation method. In Proceedings of IEEE IC-ICTES.

[56]

Mojtaba Jafari Tadi, Eero Lehtonen, Tero Koivisto, Mikko Pänkäälä, Ari Paasio, and MikaTeräs. 2015. Seismocardiography: Toward heart rate variability (HRV) estimation. In Proceedings of IEEE MeMeA.

[57]

Shejin Thavalengal, Petronel Bigioi, and Peter Corcoran. 2015. Iris authentication in handheld devices-considerations for constraint-free acquisition. IEEE Transactions on Consumer Electronics 61, 2(2015), 245--253.

[58]

LCM Vanderlei, RA Silva, CM Pastre, Fábio Mícolis de Azevedo, and MF Godoy. 2008. Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains. Brazilian Journal of Medical and Biological Research 41, 10 (2008), 854--859.

[59]

Edward Jay Wang, Junyi Zhu, Mohit Jain, Tien-Jui Lee, Elliot Saba, Lama Nachman, and Shwetak N Patel. 2018. Seismo: Blood Pressure Monitoring using Built-in Smartphone Accelerometer and Camera. In Proceedings of ACM CHI.

Digital Library

[60]

Hao Wang, Daqing Zhang, Junyi Ma, Yasha Wang, Yuxiang Wang, Dan Wu, Tao Gu, and Bing Xie. 2016. Human respiration detection with commodity Wi-Fi devices: do user location and body orientation matter?. In Proceedings of ACM UbiComp.

Digital Library

[61]

Jin Wang, Mary She, Saeid Nahavandi, and Abbas Kouzani. 2010. A review of vision-based gait recognition methods for human identification. In Proceedings of IEEE DICTA.

Digital Library

[62]

Wei Wang, Alex X Liu, and Muhammad Shahzad. 2016. Gait recognition using Wi-Fi signals. In Proceedings of ACM UbiComp.

Digital Library

[63]

Xuyu Wang, Chao Yang, and Shiwen Mao. 2017. PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity Wi-Fi devices. In Proceedings of IEEE ICDCS.

[64]

Zhicheng Yang, Parth H Pathak, Yunze Zeng, Xixi Liran, and Prasant Mohapatra. 2016. Monitoring vital signs using millimeter wave. In Proceedings of ACM MobiHoc.

Digital Library

[65]

Lide Zhang, Birjodh Tiwana, Zhiyun Qian, Zhaoguang Wang, Robert P. Dick, Zhuoqing Morley Mao, and Lei Yang. 2010. Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In Proceedings of IEEE CODES+ISSS.

Digital Library

[66]

Mingmin Zhao, Fadel Adib, and Dina Katabi. 2016. Emotion recognition using wireless signals. In Proceedings of ACM MobiCom.

Digital Library

Cited By

Xu ZJin WYao CLiu XMa SLiu YQin ZVakilinia ILiu D(2024)EM-Rhythm: An Authentication Method for Heterogeneous IoT DevicesACM Transactions on Sensor Networks10.1145/3700441Online publication date: 16-Oct-2024
https://doi.org/10.1145/3700441
Zhou JLi YWang YDing DLu YChen YXue G(2024)Visar: Projecting Virtual Sound Spots for Acoustic Augmented Reality Using Air NonlinearityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785468:3(1-30)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678546
Yuan KIbrahim MSong YDeng GNerone RVijayan SGadre AKumar S(2024)ToMoBrush: Exploring Dental Health Sensing Using a Sonic ToothbrushProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785058:3(1-27)Online publication date: 9-Sep-2024
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Index Terms

Unlock with Your Heart: Heartbeat-based Authentication on Commercial Mobile Phones
1. Security and privacy
  1. Security services
    1. Authentication
      1. Biometrics

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 2, Issue 3

September 2018

1536 pages

EISSN:2474-9567

DOI:10.1145/3279953

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Copyright © 2018 ACM.

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Publication History

Published: 18 September 2018

Accepted: 01 September 2018

Revised: 01 July 2018

Received: 01 May 2018

Published in IMWUT Volume 2, Issue 3

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Cited By

Xu ZJin WYao CLiu XMa SLiu YQin ZVakilinia ILiu D(2024)EM-Rhythm: An Authentication Method for Heterogeneous IoT DevicesACM Transactions on Sensor Networks10.1145/3700441Online publication date: 16-Oct-2024
https://doi.org/10.1145/3700441
Zhou JLi YWang YDing DLu YChen YXue G(2024)Visar: Projecting Virtual Sound Spots for Acoustic Augmented Reality Using Air NonlinearityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785468:3(1-30)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678546
Yuan KIbrahim MSong YDeng GNerone RVijayan SGadre AKumar S(2024)ToMoBrush: Exploring Dental Health Sensing Using a Sonic ToothbrushProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785058:3(1-27)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678505
Wang CCassidy LHe WPierson TKotz DXu CDavies N(2024)Challenges and opportunities in onboarding smart-home devicesProceedings of the 25th International Workshop on Mobile Computing Systems and Applications10.1145/3638550.3641137(60-65)Online publication date: 28-Feb-2024
https://dl.acm.org/doi/10.1145/3638550.3641137
Yi EZhang FXiong JNiu KYao ZZhang D(2024)Enabling WiFi Sensing on New-generation WiFi CardsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36338077:4(1-26)Online publication date: 12-Jan-2024
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Lin KChen HYan NNi ZWang ZYu J(2024)Double Polling-Based Tag Information Collection for Sensor-Augmented RFID SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2023.3277925(1-14)Online publication date: 2024
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Wu JJi XLyu YLuo XMeng YMorales EWang DLuo X(2024)Touchscreens Can Reveal User Identity: Capacitive Plethysmogram-Based BiometricsIEEE Transactions on Mobile Computing10.1109/TMC.2022.321484623:1(895-908)Online publication date: Jan-2024
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Peng JHao ZZhang ZWang RLi MDang X(2024)Utter Innocence: Contactless Authentication Method Based on Physiological SignalsIEEE Sensors Journal10.1109/JSEN.2024.335325624:6(7740-7751)Online publication date: 15-Mar-2024
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Zou YWeng JLei HWang DLeung VWu K(2024)EarPrint: Earphone-Based Implicit User Authentication With Behavioral and Physiological AcousticsIEEE Internet of Things Journal10.1109/JIOT.2024.341762211:19(31128-31143)Online publication date: 1-Oct-2024
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