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Intelligent Multimedia Analysis for Emerging Biometrics [chapter]

Georgios Goudelis, Anastasios Tefas, Ioannis Pitas
2010 Studies in Computational Intelligence  
Since the first biometric security systems appeared in the market, an increasing demand for novel techniques that will cover all different scenarios, has been observed.  ...  This is the reason for which researchers are on a continuous effort for more efficient and generic biometric modalities that can be used in various applications.  ...  Authors argue, that the results confirm that person identification using dynamic gait features is still achievable with better recognition rate.  ... 
doi:10.1007/978-3-642-11756-5_5 fatcat:4tglhqz245gyhpvpszr36th5dy

Paper titles

2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
with 0.5KB Deep Learning Model Real-Time Lighter Sound Recognition System for IoT Applications Real-time personalized cardiovascular monitoring system with arrhythmia classification method Real-Time Threshold-based  ...  sea based on VTRM Study of Deep Metric Learning on Character Classification Study of Home Energy Management System for DC-based Nanogrid SVM-Based Root Identification Algorithm Using Ridge Features and  ... 
doi:10.1109/icce-taiwan49838.2020.9258179 fatcat:2eheaztzhncixhbvp7nrbzml4m

Emerging biometric modalities: a survey

Georgios Goudelis, Anastasios Tefas, Ioannis Pitas
2008 Journal on Multimodal User Interfaces  
Many body parts, personal characteristics and signaling methods have recently been suggested and used for biometrics systems: fingers, hands, feet, faces, eyes, ears, teeth, veins, voices, signatures,  ...  ECG person identification accuracy on 59 subjects was 90.8%.  ...  The proposed method for person identification is based on dental work and consists of three main processing steps.  ... 
doi:10.1007/s12193-009-0020-x fatcat:rqotdmxc3nbmtkqse5cwikawuq

From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices

Ivan Pires, Nuno Garcia, Nuno Pombo, Francisco Flórez-Revuelta
2016 Sensors  
Jointly with this classification, the suitability of the use of these sensors in mobile systems for the recognition of ADLs is also evaluated.  ...  Among other areas, AAL systems employ technologies for supporting personal health and social care solutions.  ...  The authors would also like to acknowledge the contribution of the COST Action IC1303-AAPELE -Architectures, Algorithms and Protocols for Enhanced Living Environments.  ... 
doi:10.3390/s16020184 pmid:26848664 pmcid:PMC4801561 fatcat:ushwthv6xrcgbi7lc2sejwgtje

Wearable Monitoring for Mood Recognition in Bipolar Disorder Based on History-Dependent Long-Term Heart Rate Variability Analysis

Gaetano Valenza, Mimma Nardelli, Antonio Lanata, Claudio Gentili, Gilles Bertschy, Rita Paradiso, Enzo Pasquale Scilingo
2014 IEEE journal of biomedical and health informatics  
states with a total classification accuracy up to 95.81%.  ...  Experimental results demonstrate that our novel concept of personalized and pervasive monitoring constitutes a viable and robust clinical decision support system for bipolar disorders recognizing mood  ...  ACKNOWLEDGMENT The authors are grateful to Laura Maley for kindly reviewing the paper.  ... 
doi:10.1109/jbhi.2013.2290382 pmid:24240031 fatcat:fwgmb3wg7fdvxdx56p4jladu4m

Special issue on bio-medical signal processing for smarter mobile healthcare using big data analytics

Gwanggil Jeon, Awais Ahmad, Salvatore Cuomo, Wei Wu
2019 Journal of Ambient Intelligence and Humanized Computing  
Acknowledgements We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue  ...  Therefore, it is difficult to present a dynamic and autonomous system based on the conventional data analysis techniques.  ...  "Fog-assisted Personalized Healthcare-Support System for Remote Patients with Diabetes" proposes an energy efficient fog-assisted healthcare system to maintain the blood glucose level.  ... 
doi:10.1007/s12652-019-01425-9 fatcat:fnhogeep3zby3cgxnq2z5jogye

Realistic Applications for Wireless Sensor Networks [chapter]

John A. Stankovic, Anthony D. Wood, Tian He
2010 Monographs in Theoretical Computer Science  
These systems and others like them provide significant evidence for the utility of wireless sensor networks.  ...  To show the breadth and advantages of wireless sensor networks, design and implementation details are presented for three systems, one in each of these three application domains.  ...  Acknowledgements We thank all the students that worked on one or more of these systems.  ... 
doi:10.1007/978-3-642-14849-1_25 dblp:series/eatcs/StankovicWH11 fatcat:plxcnthjn5gknlksbuk4efpng4

Characterization of Depressive States in Bipolar Patients Using Wearable Textile Technology and Instantaneous Heart Rate Variability Assessment

Gaetano Valenza, Luca Citi, Claudio Gentili, Antonio Lanata, Enzo Pasquale Scilingo, Riccardo Barbieri
2015 IEEE journal of biomedical and health informatics  
Linear and nonlinear features were computed using a novel point-process-based nonlinear autoregressive integrative model and compared with traditional algorithmic methods.  ...  In this study, we present a methodological application describing a novel system based on wearable textile technology and instantaneous nonlinear heart rate variability assessment, able to characterize  ...  Maley for carefully reviewing the paper.  ... 
doi:10.1109/jbhi.2014.2307584 pmid:25561449 fatcat:t4526hwaerdnpmt2wgebvx5kne

2020 Index IEEE Sensors Letters Vol. 4

2020 IEEE Sensors Letters  
., +, LSENS Sept. 2020 3501204 Electrocardiography An LSTM-Based Model for Person Identification Using ECG Signal.  ...  ., +, LSENS Aug. 2020 6001704 Biometrics (access control) An LSTM-Based Model for Person Identification Using ECG Signal.  ...  Nonintrusive Elevator System Fault Detection Using Learned Traffic Patterns. Skog, I.,  ... 
doi:10.1109/lsens.2020.3048567 fatcat:nkvosrw5ivbvrgeduzdh43iasa

Detecting cocaine use with wearable electrocardiogram sensors

Annamalai Natarajan, Abhinav Parate, Edward Gaiser, Gustavo Angarita, Robert Malison, Benjamin Marlin, Deepak Ganesan
2013 Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing - UbiComp '13  
The main contributions in this paper include the presentation of a novel clinical study of cocaine use, the development of a computational pipeline for inferring morphological features from noisy ECG waveforms  ...  , and the evaluation of feature sets for cocaine use detection.  ...  This publication was also made possible by CTSA Grant Number UL1 RR024139 from the National Center for Research Resources and the National Center for Advancing Translational Science, components of the  ... 
doi:10.1145/2493432.2493496 dblp:conf/huc/NatarajanPGAMMG13 fatcat:ua567r325nf7rbe57lfwdlsj3y

Transcending Conventional Biometry Frontiers: Diffusive Dynamics PPG Biometry

Javier de Pedro-Carracedo, David Fuentes-Jimenez, Ana María Ugena, Ana Pilar Gonzalez-Marcos
2021 Sensors  
This paper presents the first photoplethysmographic (PPG) signal dynamic-based biometric authentication system with a Siamese convolutional neural network (CNN).  ...  Biometric system results for input data, raw and preprocessed, are studied and compared with eight primary biometric methods related to PPG, achieving the best equal error rate (ERR) and processing times  ...  Additionally, the authors would like to thank the referees for their valuable observations for future work. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21165661 pmid:34451105 pmcid:PMC8402390 fatcat:euprvgnvfnhrngedos46tmlzm4

Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence

Mudrakola Swapna, Uma Maheswari Viswanadhula, Rajanikanth Aluvalu, Vijayakumar Vardharajan, Ketan Kotecha
2022 Journal of Sensor and Actuator Networks  
Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on the congruous data generated.  ...  AI algorithms and approaches will help to predict health problems and check the health status of organs, while AI prediction, classification, and regression algorithms are helping the medical industry  ...  ECG system [16] .  ... 
doi:10.3390/jsan11010017 fatcat:67eo5uer3rgxrk3cpmggmxxfpu

2020 Index IEEE Signal Processing Letters Vol. 27

2020 IEEE Signal Processing Letters  
., +, LSP 2020 1260-1264 Embedded systems Informed Histogram-Based Watermarking.  ...  Chen, L., +, LSP 2020 2144-2148 Pseudo Label Based on Multiple Clustering for Unsupervised Cross-Domain Person Re-Identification.  ... 
doi:10.1109/lsp.2021.3055468 fatcat:wfdtkv6fmngihjdqultujzv4by

Transcending conventional biometry frontiers: Diffusive Dynamics PPG Biometry [article]

Javier de Pedro-Carracedo, David Fuentes-Jimenez, Ana M. Ugena, Ana P. Gonzalez-Marcos
2020 arXiv   pre-print
In this paper, we present a novel PPG-based biometric authentication system based on convolutional neural networks.  ...  The diffusive dynamics of the PPG signal are strongly dependent on the vascular bed's biostructure, which is unique to each individual, and highly stable over time and other psychosomatic conditions.  ...  Acknowledgments The authors would like to thank Life Supporting Technologies Group (LST-UPM) for taking part in project FIS-PI12/00514, from MINECO.  ... 
arXiv:2007.15060v3 fatcat:gybg3kyornbmxc2as7qisan2ry

2020 Index IEEE Journal of Biomedical and Health Informatics Vol. 24

2020 IEEE journal of biomedical and health informatics  
., A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning; JBHI May 2020 1296-1309 Herskovic, V., see Saint-Pierre, C., JBHI Jan  ...  Gimenez, F., Dong, J., and Rubin, D. 2570-2579 Jiang, D., see 2473-2480 Jiang, H., see 2798-2805 Jiang, H., Yang, M., Chen, X., Li, M., Li, Y., and Wang, J., miRTMC: A miRNA Target Prediction Method Based  ...  ., +, JBHI Nov. 2020 3215-3225 Non-Standardized Patch-Based ECG Lead Together With Deep Learning Based Algorithm for Automatic Screening of Atrial Fibrillation.  ... 
doi:10.1109/jbhi.2020.3048808 fatcat:iifrkwtzazdmboabdqii7x5ukm
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