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Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition
2020
Frontiers in Bioengineering and Biotechnology
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This study explored the feasibility of surface electromyogram (sEMG), the electrical manifestation of muscle activities, as a biometric trait. ...
This work demonstrated the potential and effectiveness of sEMG as a biometric trait in user verification and identification, beneficial for the design of future biometric systems. ...
: He J and Jiang N (2020) Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition. ...
doi:10.3389/fbioe.2020.00058
pmid:32117937
pmcid:PMC7033497
fatcat:gpyvvdriynhrzcbeyrq3oglfk4
Biometrics Verification Modality Using Multi-Channel sEMG Wearable Bracelet
2020
Applied Sciences
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In this work, the viability of using surface electromyogram (sEMG) as a biometric modality for users verification is investigated. ...
Electrical biosignals have the potential for use as biometric authenticators, owing to their ability to facilitate liveness detection and concealed nature. ...
Traditional biometrics of identification/authentication include identifier (ID), password (PW), and/or ownership-based ID card methods. ...
doi:10.3390/app10196960
fatcat:4xirlj545jcytm6kotguowmbvq
Pattern Mining Approaches used in Sensor-Based Biometric Recognition: A Review
2019
IEEE Sensors Journal
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of sensor-based biometric systems. ...
searches for the high-level information about pattern recognition from low-level sensor readings in order to construct an artificial substitute for human recognition. ...
body surface. ...
doi:10.1109/jsen.2019.2894972
fatcat:dgovo3imwnc4hijvrnnwykfq6u
Performance Optimization of Surface Electromyography based Biometric Sensing System for both Verification and Identification
2021
IEEE Sensors Journal
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Index Terms-biometrics, gesture recognition, surface electromyogram (sEMG), feature extraction, electrode configuration, user verification, user identification. information, cannot be changed once they ...
Recently, surface electromyography (sEMG) emerged as a novel biometric authentication method. ...
Our results indicated that there might not be a need for high-density EMG as four-channel setup provided similar authentication performance. ...
doi:10.1109/jsen.2021.3079428
fatcat:daf23j3wx5bmlgoubjy72mtzmm
Heart Biometrics: Theory, Methods and Applications
[chapter]
2011
Biometrics
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for human identification. ...
However, from a biometrics perspective, it has been demonstrated that the ECG has sufficient detail for identification. ...
doi:10.5772/18113
fatcat:a7zfh4wifvgydp77f7jlbqvr4a
Deep Learning in Biometrics: A Survey
2019
Advances in Distributed Computing and Artificial Intelligence Journal
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Finally, a brand new method for biometric identification is proposed based on the usage of the user's electrocardiogram. ...
One of the possible ways to prevent this is via advanced and personalized security: biometrics. ...
In section 4, a new method for biometric identification is proposed, based on the heartbeat pulse of the user, utilizing the electrocardiogram (ECG) to recognize different users (Kim and Pan, 2019) . ...
doi:10.14201/adcaij2019841932
fatcat:goenvskglzamdohj5yhahq2mzq
Evolution, Current Challenges, and Future Possibilities in ECG Biometrics
2018
IEEE Access
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Commercial products using these traits for biometric identification or authentication are increasingly widespread, from smartphones to border control. ...
In the last years, the topic of ECG-based biometrics has quickly evolved toward the commercial applications, mainly by addressing the reduced acceptability and comfort by proposing new off-the-person, ...
A biometric system aims to either identify or authenticate a person based on a measurement of one or several biometric traits (see Fig. 1 ). ...
doi:10.1109/access.2018.2849870
fatcat:jsnjs2cdqnbttn6hxtm2r6jkn4
Cognitive biometrics: a novel approach to person authentication
2012
International Journal of Cognitive Biometrics
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Introduction Cognitive biometrics is a novel approach to user authentication and/or identification that utilises the response(s) of nervous tissue. ...
The concept of the endophenotype is central in this approach -as it provides a scientific basis for selecting stimuli, designed to elicit responses that have high heritability. ...
doi:10.1504/ijcb.2012.046516
fatcat:mh5qxivydbbkpdloqjjdygjaki
A Replication Study on Code Comprehension and Expertise using Lightweight Biometric Sensors
[article]
2019
arXiv
pre-print
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Our findings show that lightweight biometric sensors can be used to accurately recognize comprehension tasks opening interesting scenarios for research and practice. ...
We replicate the original study using lightweight biometrics sensors which participants (28 undergrads in computer science) wore when performing comprehension tasks on source code and natural language ...
Before beginning the experiment, participants signed a consent form for personal data treatment. ...
arXiv:1903.03426v2
fatcat:bttoc5rtvvaw7g3mrxgbqhpsle
Brain computer interfacing: Applications and challenges
2015
Egyptian Informatics Journal
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Its contributions in medical fields range from prevention to neuronal rehabilitation for serious injuries. ...
Security and authentication Security systems involve knowledge based, object based and/or biometrics based authentication. ...
Subjects identification with
VEPs [142]
Autoregressive coefficients (AR)
SVM
98.96
Subjects identification with
imagined speech [142]
Autoregressive coefficients (AR)
KNN
99.41
Person ...
doi:10.1016/j.eij.2015.06.002
fatcat:iiopgu4eqfekrc6ombyjy6sk2y
A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes
2022
Sensors
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models for personalized risk prediction. ...
This work attempts to examine some of the facts and current situation of sensor-based approaches in PD diagnosis and discusses ensemble techniques using sensor-based data for developing machine learning ...
On the other hand, Mysignals was used to develop eHealth embedded systems for monitoring elderly health based on the Internet of Things (IoT) and Fog computing [53] for calculating specific biometric ...
doi:10.3390/s22020409
pmid:35062370
pmcid:PMC8777583
fatcat:pwplwlj3vndxxe6iqfn7s6kaqy
Random Number Generators Based on EEG Non-linear and Chaotic Characteristics
2017
Journal of Cyber Security and Mobility
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Current electroencephalogram (EEG)-based methods in security have been mainly used for person authentication and identification purposes only. ...
Our experimental results showed high average success rates for all wavebands and the highest rate is 99.17% for the gamma band. ...
Other biometric signals such as EMG (electromyogram) and ECG (electrocardiography) will also be considered for randomness. ...
doi:10.13052/2245-1439.634
fatcat:viylycqxzfennkrfunjmbmyyoe
Random Number Generators Basedon EEG Non-linear and ChaoticCharacteristics
2018
Journal of Cyber Security and Mobility
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Current electroencephalogram (EEG)-based methods in security have been mainly used for person authentication and identification purposes only. ...
Our experimental results showed high average success rates for all wavebands and the highest rate is 99.17% for the gamma band. ...
Other biometric signals such as EMG (electromyogram) and ECG (electrocardiography) will also be considered for randomness. ...
doi:10.13052/jcsm2245-1439.634
fatcat:c5nj6fs64jcxbg2i5b26qzhpp4
Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring
2011
Sensors
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Wireless sensor network (WSN) technologies are considered one of the key research areas in computer science and the healthcare application industries for improving the quality of life. ...
The purpose of this paper is to provide a snapshot of current developments and future direction of research on wearable and implantable body area network systems for continuous monitoring of patients. ...
Acknowledgements The authors would like to thank the reviewers of the paper for their valuable comments. ...
doi:10.3390/s110605561
pmid:22163914
pmcid:PMC3231450
fatcat:bgbami2td5ebfka6ld475fgyou
Artificial Intelligence Analysis of EEG Amplitude in Intensive Heart Care
2021
Journal of Healthcare Engineering
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This article first studied the morphological characteristics of the EEG for intensive cardiac care; that is, based on the analysis of the mechanism of disease diagnosis and treatment, a signal processing ...
It can perform bioinformatics processing on intensive cardiac care EEG signals, systematically biometric information, diagnose diseases, the real-time detection, auxiliary diagnosis, and rehabilitation ...
In the optimal frequency band, the classifiers select the frequency band characteristics for a specific person and perform real-time recognition. ...
doi:10.1155/2021/6284035
pmid:34306595
pmcid:PMC8272660
fatcat:s2xalff52bdevfhphtj6k4sgvy
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