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Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition

Jiayuan He, Ning Jiang
2020 Frontiers in Bioengineering and Biotechnology  
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

Sherif Said, Abdullah S. Karar, Taha Beyrouthy, Samer Alkork, Amine Nait-ali
2020 Applied Sciences  
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

Jyotismita Chaki, Nilanjan Dey, Fuqian Shi, R. Simon Sherratt
2019 IEEE Sensors Journal  
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

Ashirbad Pradhan, Jiayuan He, Ning Jiang
2021 IEEE Sensors Journal  
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]

Foteini Agrafioti, Jiexin Gao, Dimitrios Hatzinakos
2011 Biometrics  
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

Alberto BOTANA LÓPEZ
2019 Advances in Distributed Computing and Artificial Intelligence Journal  
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

Joao Ribeiro Pinto, Jaime S. Cardoso, Andre Lourenco
2018 IEEE Access  
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

Kenneth Revett
2012 International Journal of Cognitive Biometrics  
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]

Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile
2019 arXiv   pre-print
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

Sarah N. Abdulkader, Ayman Atia, Mostafa-Sami M. Mostafa
2015 Egyptian Informatics Journal  
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

Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Christos Tzouvelekis, Dimitrios Drakoulis, Foteini Papavassileiou, Themis P. Exarchos, Panayiotis Vlamos
2022 Sensors  
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

Dang Nguyen, Dat Tran, Wanli Ma, Dharmendra Sharma
2017 Journal of Cyber Security and Mobility  
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

Dang Nguyen, Dat Tran, Wanli Ma, Dharmendra Sharma
2018 Journal of Cyber Security and Mobility  
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

Ashraf Darwish, Aboul Ella Hassanien
2011 Sensors  
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

Junjun Chen, Hong Pu, Dianrong Wang, Khin Wee Lai
2021 Journal of Healthcare Engineering  
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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