HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Advanced Methods And Tools for ECG Data Analysis
Advanced Methods And Tools for ECG Data Analysis
Speaker background models for connected digit password speaker verification
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Continuous Verification Using Multimodal Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
A tutorial on text-independent speaker verification
EURASIP Journal on Applied Signal Processing
Analysis of human electrocardiogram for biometric recognition
EURASIP Journal on Advances in Signal Processing
Unobtrusive multimodal biometric authentication: the HUMABIO project concept
EURASIP Journal on Advances in Signal Processing
A Novel Personal Identity Verification Approach Using a Discrete Wavelet Transform of the ECG Signal
MUE '08 Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering
Hassle free fitness monitoring
Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments
Mobile health monitoring through biotelemetry
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
Pattern Recognition
Recognizing whether sensors are on the same body
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
An amulet for trustworthy wearable mHealth
Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
Plug-n-trust: practical trusted sensing for mhealth
Proceedings of the 10th international conference on Mobile systems, applications, and services
Towards fine-grained urban traffic knowledge extraction using mobile sensing
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Body area network security: robust key establishment using human body channel
HealthSec'12 Proceedings of the 3rd USENIX conference on Health Security and Privacy
Privacy in mobile technology for personal healthcare
ACM Computing Surveys (CSUR)
Recognizing whether sensors are on the same body
Pervasive and Mobile Computing
Securing data provenance in body area networks using lightweight wireless link fingerprints
Proceedings of the 3rd international workshop on Trustworthy embedded devices
Computer Methods and Programs in Biomedicine
Hi-index | 0.00 |
Mobile medical sensors promise to provide an efficient, accurate, and economic way to monitor patients' health outside the hospital. Patient authentication is a necessary security requirement in remote health monitoring scenarios. The monitoring system needs to make sure that the data is coming from the right person before any medical or financial decisions are made based on the data. Credential-based authentication methods (e.g., passwords, certificates) are not well-suited for remote healthcare as patients could hand over credentials to someone else. Furthermore, one-time authentication using credentials or trait-based biometrics (e.g., face, fingerprints, iris) do not cover the entire monitoring period and may lead to unauthorized post-authentication use. Recent studies have shown that the human electrocardiogram (ECG) exhibits unique patterns that can be used to discriminate individuals. However, perturbation of the ECG signal due to physical activity is a major obstacle in applying the technology in real-world situations. In this paper, we present a novel ECG and accelerometer-based system that can authenticate individuals in an ongoing manner under various activity conditions. We describe the probabilistic authentication system we have developed and present experimental results from 17 individuals.