Academic literature on the topic 'Physiological biometrics'

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Journal articles on the topic "Physiological biometrics"

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Sable, Harsh, and Divya Bajpai Tripathy. "A Review on Comparative Analysis on Different Sort of Physiological and Behavioral Biometric Framework." International Journal of Advance Research and Innovation 9, no. 2 (2021): 1–9. http://dx.doi.org/10.51976/ijari.922101.

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Biometrics as the investigation of seeing an individual ward on their physical or conduct characteristics, biometric have now been conveyed in diverse business, ordinary resident and national security applications. Customarily the usage of biometrics devices has improved our capacity to give approved entry to material foundations. Biometric is the usage of a person's novel physiological, lead, and morphological trademark to give valuable person distinguishing proof. Biometric structures that are starting at now available today break down fingerprints, engravings, iris and retina models, and fa
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Rajvanshi, Saumya, Shiv Chauhan, and Savneet Kaur. "A New Wave in Biometric System: Systematic Study." CGC International Journal of Contemporary Technology and Research 4, no. 2 (2022): 300–305. http://dx.doi.org/10.46860/cgcijctr.2022.07.31.300.

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Biometric system is a technique used to identify a person using its personal identification methods. The main concept of biometric systems is to provide confidentiality and security to the user. A number of biometric systems are introduced but some systems are widely used and are famous because of their usage and security they provide. Physiological and Behavioral biometrics are the two types of biometric systems. Biometric systems include physiological biometrics like face recognition, fingerprint recognition, iris recognition and behavioral biometrics like signature recognition and voice rec
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Shopon, Md, Sanjida Nasreen Tumpa, Yajurv Bhatia, K. N. Pavan Kumar, and Marina L. Gavrilova. "Biometric Systems De-Identification: Current Advancements and Future Directions." Journal of Cybersecurity and Privacy 1, no. 3 (2021): 470–95. http://dx.doi.org/10.3390/jcp1030024.

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Biometric de-identification is an emerging topic of research within the information security domain that integrates privacy considerations with biometric system development. A comprehensive overview of research in the context of authentication applications spanning physiological, behavioral, and social-behavioral biometric systems and their privacy considerations is discussed. Three categories of biometric de-identification are introduced, namely complete de-identification, auxiliary biometric preserving de-identification, and traditional biometric preserving de-identification. An overview of
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Hina Ali and Saba Shaikh. "Comprehensive Review on Different Types of Biometrics and the Impact of Pandemic on Biometric Security." International Journal of Information Systems and Computer Technologies 3, no. 2 (2024): 70–79. http://dx.doi.org/10.58325/ijisct.003.02.0074.

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With the rapid rise of electronic crimes and their related difficulties, implementing a trustworthy user authentication system has become a critical responsibility for access control and data security. Because of this, the influence of biometrics in information security has become very popular. Everybody in this world has distinct physiological and behavioural features that set us apart from others. These unique features (or IDs) are used in biometrics to determine and authenticate people's identities. This research includes comparisons between two major categories of biometrics, namely physio
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Thakor, Kiran B. "Comparative Analysis of Vein Biometrics Methodologies: A Comprehensive Review." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 5365–73. http://dx.doi.org/10.22214/ijraset.2023.52830.

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Abstract: Vein biometrics has emerged as a promising modality for secure and reliable personal identification. With its unique characteristics and inherent physiological properties, veins offer distinct advantages over other biometric modalities. However, the methodology employed in vein biometrics plays a crucial role in determining its performance and accuracy. This paper presents a comprehensive comparison of various methodologies used in vein biometrics, aiming to provide insights into the strengths, weaknesses, and advancements in this field.
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Gupta, Ms Neha. "A New Wave in Biometric System: Systematic Study incorporated with Artificial Intelligence." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33563.

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Biometric system is a technique used to identify a person using its personal identification methods. The main concept of biometric systems is to provide confidentiality and security to the user. A number of biometric systems are introduced but some systems are widely used and are famous because of their usage and security they provide. Physiological and Behavioral biometrics are the two types of biometric systems. Biometric systems include physiological biometric like face recognition, finger print recognition, ir is recognition and behavioral biometrics like signature recognition and voice re
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K. P. Ajitha, Gladis, and D. Sharmila. "Systematic digital signal processing approach in various biometric identification." i-manager's Journal on Digital Signal Processing 10, no. 2 (2022): 7. http://dx.doi.org/10.26634/jdp.10.2.19290.

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Biometrics are unique physical characteristics, such as fingerprints, that can be used for automatic recognition. Biometric identifiers are often classified as physiological characteristics associated with body shape. The goal is to capture a piece of biometric data from that person. It could be a photograph of their face, a recording of their voice, or a picture of their fingerprints. While there are numerous types of biometrics for authentication, the six most common are facial, voice, iris, near-field communication, palm or finger vein patterns, and Quick Response (QR) code. Biometrics is a
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Singh, Law Kumar, Munish Khanna, and Hitendra Garg. "Multimodal Biometric Based on Fusion of Ridge Features with Minutiae Features and Face Features." International Journal of Information System Modeling and Design 11, no. 1 (2020): 37–57. http://dx.doi.org/10.4018/ijismd.2020010103.

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Multimodal biometrics refers to the exploiting combination of two or more biometric modalities in an identification of a system. Fingerprint, face, retina, iris, hand geometry, DNA, and palm print are physiological traits while voice, signature, keystrokes, gait are behavioural traits used for identification by a system. Single biometric features like faces, fingerprints, irises, retinas, etc., deteriorate or change with time, environment, user mode, physiological defects, and circumstance therefore integrating multi features of biometric traits increase robustness of the system. The proposed
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Booysens, Aimee, and Serestina Viriri. "Exploration of Ear Biometrics Using EfficientNet." Computational Intelligence and Neuroscience 2022 (August 31, 2022): 1–14. http://dx.doi.org/10.1155/2022/3514807.

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Biometrics is the recognition of a human using biometric characteristics for identification, which may be physiological or behavioral. The physiological biometric features are the face, ear, iris, fingerprint, and handprint; behavioral biometrics are signatures, voice, gait pattern, and keystrokes. Numerous systems have been developed to distinguish biometric traits used in multiple applications, such as forensic investigations and security systems. With the current worldwide pandemic, facial identification has failed due to users wearing masks; however, the human ear has proven more suitable
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Kumar Singha, Anjani, Anshu Singla, and Rajneesh Kumar Pandey. "STUDY AND ANALYSIS ON BIOMETRICS AND FACE RECOGNITION METHODS." EPH - International Journal of Science And Engineering 2, no. 2 (2016): 29–34. http://dx.doi.org/10.53555/eijse.v2i2.145.

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Human Biometrics is a rising technology, which has been broadly used in forensics, safe access and top-security prison. A biometric system is primarily a pattern recognition system that recognizes a person by determining the verification by using his different biological features i.e. Fingerprint, retina-scan, iris scan, hand geometry, and face recognition are important physiological biometrics and behavioral trait are Voice recognition, keystroke-scan, and signature-scan. In this paper different biometrics techniques such as Iris scan, retina scan and face recognition techniques are discussed
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Dissertations / Theses on the topic "Physiological biometrics"

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Benavente-Perez, Alexandra. "Biometric and physiological factors in human ocular perfusion." Thesis, Aston University, 2007. http://publications.aston.ac.uk/14642/.

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By addressing the vascular features that characterise myopia, this thesis aims to provide an understanding of the early structural changes associated with human myopia and the progression to co-morbidity with age. This thesis addresses three main areas of study: 1. Ocular perfusion features and autoregulatory mechanisms in human myopia; 2. Choroidal thickness at the macular area of myopic eyes; 3. Effect of chronic smoking on the ocular haemodynamics and autoregulation. This thesis demonstrated a reduced resting ocular pulse amplitude and retrobulbar blood flow in human myopia, associated with
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Farias, Gabriel Castro. "Biometric and physiological responses of bean inoculated with Dark septate endophytic fungi under salt stress." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=13534.

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Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgico<br>With the increasing of areas degraded by soil salinization process, is necessary to increase of agricultural investments to be able to reach a production acceptable. In order to reduce such inputs, studies of microorganisms involved in the production process are becoming more constant. The objective of this study was to evaluate the associations between endophytic fungi Dark Septate and cowpea plants when irrigated with water of different salinities, analyzing biometrics, gas exchange, nutrient content and accumulation of organic
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BARRA, SILVIO. "Design of a Multi-biometric Platform, based on physical traits and physiological measures: Face, Iris, Ear, ECG and EEG." Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266893.

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Security and safety is one the main concerns both for governments and for private companies in the last years so raising growing interests and investments in the area of biometric recognition and video surveillance, especially after the sad happenings of September 2001. Outlays assessments of the U.S. government for the years 2001-2005 estimate that the homeland security spending climbed from $56.0 billions of dollars in 2001 to almost $100 billion of 2005. In this lapse of time, new pattern recognition techniques have been developed and, even more important, new biometric traits have b
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Riera, Sardà Alexandre. "Computational Intelligence Techniques for Electro-Physiological Data Analysis." Doctoral thesis, Universitat de Barcelona, 2012. http://hdl.handle.net/10803/107818.

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This work contains the efforts I have made in the last years in the field of Electrophysiological data analysis. Most of the work has been done at Starlab Barcelona S.L. and part of it at the Neurodynamics Laboratory of the Department of Psychiatry and Clinical Psychobiology of the University of Barcelona. The main work deals with the analysis of electroencephalography (EEG) signals, although other signals, such as electrocardiography (ECG), electroculography (EOG) and electromiography (EMG) have also been used. Several data sets have been collected and analysed applying advanced Signal Proces
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Meyer, Daniel [Verfasser], Veit S. [Akademischer Betreuer] Senner, Veit S. [Gutachter] Senner, and Boris [Gutachter] Lohmann. "Biometrical Assistance: Adjusting the Motor Assistance of Pedal Electric Cycles to the Physiological Capabilities of the Cyclist / Daniel Meyer ; Gutachter: Veit S. Senner, Boris Lohmann ; Betreuer: Veit S. Senner." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1195708556/34.

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Ishak, Dany. "La conception d'un système ultrasonore passif couche mince pour l'évaluation de l'état vibratoire des cordes vocales." Thesis, Valenciennes, 2017. http://www.theses.fr/2017VALE0043/document.

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Dans ce travail, une approche de reconnaissance de l’orateur en utilisant un microphone de contact est développée et présentée. L'élément passif de contact est construit à partir d'un matériau piézoélectrique. La position du transducteur piézoélectrique sur le cou de l'individu peut affecter grandement la qualité du signal recueilli et par conséquent les informations qui en sont extraites. Ainsi, le milieu multicouche dans lequel les vibrations des cordes vocales se propagent avant d'être détectées par le transducteur est modélisé. Le meilleur emplacement sur le cou de l’individu pour attacher
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"Synchrony: Biometric Indication of Team Cognition." Master's thesis, 2016. http://hdl.handle.net/2286/R.I.41225.

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abstract: The goal of this experiment is to observe the relation between synchrony and performance in 3-person teams in a simulated Army medic training environment (i.e., Monitoring Extracting and Decoding Indicators of Cognitive workload: MEDIC). The cardiac measure Interbeat-Interval (IBI) was monitored during a physically oriented, and a cognitively oriented task. IBI was measured using NIRS (Near-Infrared Spectrology), and performance was measured using a team task score during a balance board and puzzle task. Synchrony has not previously been monitored across completely different tasks
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Kettle, Brett Thomas. "Variations in biometric and physiological parameters of Acanthaster planci (L.) (Echinodermata; Asteroidea) during the course of a high density outbreak." Thesis, 1990. https://researchonline.jcu.edu.au/27496/1/27496_Kettle_1990_thesis.pdf.

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The Crown-of-Thorns starfish, Acanthaster planci (L.), a large and voracious corallivore, has been the focus for a large number of scientific studies, few of which have examined aspects of starfish physiology or high density (outbreak) populations throughout the time course of a single outbreak event. This study sought to examine the variations in size, population density, morphology, respiration rates, fecundity and resource allocation, among starfish from a high density outbreak population throughout an outbreak event. The study sequentially examined three aspects: a) the effect of size per
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Books on the topic "Physiological biometrics"

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Comstock, James R. Mental-state estimation 1987: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and Old Dominion University, Norfolk, Virginia, and held in Williamsburg, Virginia, June 3-4, 1987. Langley Research Center, 1988.

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United States. National Aeronautics and Space Administration, Old Dominion University, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division, eds. Mental-state estimation, 1987: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and Old Dominion University, Norfolk, Virginia, and held in Williamsburg, Virginia, June 3-4, 1987. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Comstock, James R. Mental-state estimation, 1987: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and Old Dominion University, Norfolk, Virginia, and held in Williamsburg, Virginia, June 3-4, 1987. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Comstock, James R. Mental-state estimation, 1987: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and Old Dominion University, Norfolk, Virginia, and held in Williamsburg, Virginia, June 3-4, 1987. National Aeonautics and Space Administration, Scientific and Technical Information Division, 1988.

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United States. National Aeronautics and Space Administration., Old Dominion University, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Mental-state estimation, 1987: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and Old Dominion University, Norfolk, Virginia, and held in Williamsburg, Virginia, June 3-4, 1987. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Enzo, Berardesca, ed. Bioengineering of the skin: Methods and instrumentation. CRC Press, 1995.

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Nacke, Lennart E. Introduction to biometric measures for Games User Research. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794844.003.0016.

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This chapter presents the physiological metrics used in Games User Research (GUR). Aimed at GUR professionals in the games industry, it explains what methods are available to researchers to measure biometric data while subjects are engaged in play. It sets out when it is appropriate to use biometric measures in GUR projects, the kind of data generated, and the differing ways it can be analysed. The chapter also discusses the trade-offs required when interpreting physiological data, and will help games researchers to make informed decisions about which research questions can benefit from biomet
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Mental-state estimation, 1987: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and Old Dominion University, Norfolk, Virginia, and held in Williamsburg, Virginia, June 3-4, 1987. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-2536-5.

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Bioengineering of the Skin: Methods and Instrumentation, Volume III. Informa Healthcare, 1995.

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Book chapters on the topic "Physiological biometrics"

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Ding, Sophia, Emilia Nunes, Pascal Bettendorff, and Weyde Lin. "Biometrics." In Trends in Data Protection and Encryption Technologies. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33386-6_22.

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AbstractIn biometrics, physiological characteristics (e.g., fingerprints, facial features, voices) are measured to identify individuals. Since biometry does not share the same characteristics as other authentication techniques, such as passwords or PIN codes, it is widely used as a second-factor authentication. A fully integrated solution offers significant advantages as it aligns biometric hardware, key generation, validation, and storage with the cryptographic provider, providing a coherent control environment. As a result, designing and implementing secure biometric authentication methods requires highly specialized technical expertise and experience. In addition, as biometrics become prevalent and their integration with artificial intelligence systems increases, ethical and regulatory questions become more pressing.
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Salice, Dario, and Jennifer Salice. "Physiological Characteristics." In Foundations and Opportunities of Biometrics. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0509-7_4.

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Smith, Marcus, and Seumas Miller. "The Future of Biometrics and Liberal Democracy." In Biometric Identification, Law and Ethics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90256-8_5.

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AbstractThe first part of this chapter considers future biometrics, with a focus on second generation biometrics that measure physiological patterns. The second discusses the potential biometric future – how the use of biometrics, data and algorithms more broadly, could be used by governments to regulate social and economic interactions. This discussion will draw on the development of credit systems, from those used in commercial online platforms to rate the performance of providers and users, to the more integrated and all-encompassing social credit system (SCS) implemented in China, as an example of a potential future development in liberal democratic countries. Finally, we discuss the key features of liberal democratic theory and how biometric and related technological developments may change governance in western democracies. While we briefly mention some relevant developments in the private sector, our main focus will be on the relationship between liberal democratic governments and their security agencies, on the one hand, and their citizenry, on the other. We describe in general terms how liberal democracies might respond to these new technologies in a manner that preserves their benefits without unduly compromising established liberal democratic institutions, principles and values. Accordingly, we seek to offer a response to some of the dual use ethical dilemmas posed by biometrics, albeit in general terms.
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Bicego, Manuele, Enrico Grosso, and Massimo Tistarelli. "Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models." In Advances in Biometrics. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11608288_16.

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Bakir, Vian, and Andrew McStay. "Strengthening the Civic Body as the Bandwidth for Optimised Emotion Expands." In Optimising Emotions, Incubating Falsehoods. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13551-4_9.

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AbstractThis final chapter draws out more substantive answers to strengthen the civic body against the harms arising from the optimisation of datafied emotion, as the bandwidth for the datafication, and optimisation, of emotion expands beyond web-based platforms to include bodies through biometrics. First, the chapter teases out core shifts discernable from a backward glance. This identifies that, while false information, emotion, profiling and targeting are hardly new phenomena in citizen-political communications, the scale of contemporary profiling is unprecedented. As such, a prime site of concern is the automated industrial psycho-physiological profiling of the civic body to understand affect and infer emotion for the purposes of changing behaviour. Exploring this through three scenarios, the chapter looks to near-horizon futures. This is an important angle given the rapid onset, scale and nature of contemporary false information online, the rising tide of deployment of emotional analytics across all life contexts and the likely greater role that biometrics will play in everyday life. Peeking over the horizon line distils a core protective principle of protecting individual and collective mental integrity. This is necessary to strengthen the civic body to withstand false information in a future where optimised emotion has become commonplace.
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Brand, J. D., J. S. D. Mason, and Sylvain Colomb. "Visual Speech: A Physiological or Behavioural Biometric?" In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45344-x_23.

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Moreno-Revelo, M., M. Ortega-Adarme, D. H. Peluffo-Ordoñez, K. C. Alvarez-Uribe, and M. A. Becerra. "Comparison Among Physiological Signals for Biometric Identification." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68935-7_47.

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Hossain, Emdad, and Girija Chetty. "Combination of Physiological and Behavioral Biometric for Human Identification." In Machine Learning and Data Mining in Pattern Recognition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31537-4_30.

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"Physiological Biometrics." In Real Life Applications of Soft Computing. CRC Press, 2010. http://dx.doi.org/10.1201/ebk1439822876-c7.

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Singh, Richa, Mayank Vatsa, and Phalguni Gupta. "Biometrics." In Encyclopedia of Multimedia Technology and Networking, Second Edition. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch017.

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The modern information age gives rise to various challenges, such as organization of society and its security. In the context of organization of society, security has become an important challenge. Because of the increased importance of security and organization, identification and authentication methods have developed into a key technology in various areas, such as entrance control in buildings, access control for automatic teller machines, or in the prominent field of criminal investigation. Identity verification techniques such as keys, cards, passwords, and PIN are widely used security applications. However, passwords or keys may often be forgotten, disclosed, changed, or stolen. Biometrics is an identity verification technique which is being used nowadays and is more reliable, compared to traditional techniques. Biometrics means “life measurement,” but here, the term is associated with the unique characteristics of an individual. Biometrics is thus defined as the “automated methods of identifying or authenticating the identity of a living person, based on physiological or behavioral characteristics.” Physiological characteristics include features such as face, fingerprint, and iris. Behavioral characteristics include signature, gait, and voice. This method of identity verification is preferred over traditional passwords and PIN-based methods for various reasons, such as (Jain, Bolle, &amp; Pankanti, 1999; Jain, Ross, &amp; Prabhakar, 2004): • The person to be identified is required to be physically present for the identity verification. • Identification based on biometric techniques obviates the need to remember a password or carry a token. • It cannot be misplaced or forgotten. Biometrics is essentially a multi-disciplinary area of research, which includes fields like pattern recognition image processing, computer vision, soft computing, and artificial intelligence. For example, face image is captured by a digital camera, which is preprocessed using image enhancement algorithms, and then facial information is extracted and matched. During this process, image processing techniques are used to enhance the face image and pattern recognition, and soft computing techniques are used to extract and match facial features. A biometric system can be either an identification system or a verification (authentication) system, depending on the application. Identification and verification are defined as (Jain et al., 1999, 2004; Ross, Nandakumar, &amp; Jain, 2006): • Identification–One to Many: Identification involves determining a person’s identity by searching through the database for a match. For example, identification is performed in a watch list to find if the query image matches with any of the images in the watch list. • Verification–One to One: Verification involves determining if the identity which the person is claiming is correct or not. Examples of verification include access to an ATM, it can be obtained by matching the features of the individual with the features of the claimed identity in the database. It is not required to perform match with complete database. In this article, we present an overview of the biometric systems and different types of biometric modalities. The next section describes various components of biometric systems, and the third section briefly describes the characteristics of biometric systems. The fourth section provides an overview of different unimodal and multimodal biometric systems. In the fifth section, we have discussed different measures used to evaluate the performance of biometric systems. Finally, we discuss research issues and future directions of biometrics in the last section.
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Conference papers on the topic "Physiological biometrics"

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Parron, Jesse, Rui Li, Weitian Wang, and Mengchu Zhou. "Characterization of Human Trust in Robot through Multimodal Physical and Physiological Biometrics in Human-Robot Partnerships." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711764.

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Bloch, Audra, Nolan Kersten, Eli Short, Parker Stevens, Benjamin Simonson, and Brodie Hoyer. "Physiological Sensing in HALO/HAHO Environment." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-114252.

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Abstract Health risks are a prevalent concern during High-Altitude Low Opening (HALO) and High-Altitude High Opening (HAHO) operations due to the low-oxygen environment. Jumpers must be constantly monitored to ensure safety prior to exiting the aircraft. To objectively monitor the biometrics of jumpers a piece of clothing was developed that would use wearable biometric sensors. Although there have been previous products intended for the same purpose, they were not suitable for the special needs of these operations. After discussing the intention of the product with experts, customer requiremen
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Hamdy, Omar, and Issa Traoré. "New Physiological Biometrics Based on Human Cognitive Factors." In 2009 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS). IEEE, 2009. http://dx.doi.org/10.1109/cisis.2009.111.

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Veiga, Rafael, Cristiano B. Both, Iago Medeiros, Denis Rosário, and Eduardo Cerqueira. "A Federated Learning Approach for Authentication and User Identification based on Behavioral Biometrics." In Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sbrc.2023.536.

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A smartphone can collect behavioral data without requiring additional actions on the user’s part and without the need for additional hardware. In an active or continuous user authentication process, information from integrated sensors, such as touch, and gyroscope, is used to monitor the user continuously. These sensors can capture behavioral (touch patterns, accelerometer) or physiological (fingerprint, face) data of the user naturally interacting with the device. However, transferring data from multiple users’ mobile devices to a server is not recommended due to user data privacy concerns. T
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Akhloufi, Moulay, and Abdelhakim Bendada. "Hand and Wrist Physiological Features Extraction for near Infrared Biometrics." In 2008 Canadian Conference on Computer and Robot Vision (CRV). IEEE, 2008. http://dx.doi.org/10.1109/crv.2008.42.

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Zhao, Yu, Bochao Zou, Fan Yang, Lin Lu, Abdelkader Nasreddine Belkacem, and Chao Chen. "Video-Based Physiological Measurement Using 3D Central Difference Convolution Attention Network." In 2021 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2021. http://dx.doi.org/10.1109/ijcb52358.2021.9484405.

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Speth, Jeremy, Nathan Vance, Adam Czajka, Kevin W. Bowyer, Diane Wright, and Patrick Flynn. "Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results." In 2021 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2021. http://dx.doi.org/10.1109/ijcb52358.2021.9484409.

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Jackson, Aldrewvonte, Kofi Kyei, Yasmin Eady, et al. "Biometric Authentication for the Mitigation of Human Risk on a Social Network." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004763.

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The increasing reliance on digital systems in today's interconnected world has brought about a corresponding surge in cyber threats, making cybersecurity a critical concern. While technological advancements have bolstered the defense mechanisms, human factors remain a significant vulnerability. This paper explores the intersection of human factors and cybersecurity, focusing on how biometric authentication can serve as a potent mitigating strategy. The human element in cybersecurity encompasses a range of factors, including user behavior, cognitive biases, and susceptibility to social engineer
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Kamimura, Hironobu, Takashi Uozumi, Jun Miura, Haruki Sasaki, and Noriaki Kaneki. "Effect of Different Flavors on Physiological and Psychological Responses after Soup Intake with Nutritional Equivalence." In 2013 International Conference on Biometrics and Kansei Engineering (ICBAKE). IEEE, 2013. http://dx.doi.org/10.1109/icbake.2013.57.

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Yamada, Hiroshi, Noriaki Kaneki, Syuhei Suzuki, Hironobu Kamimura, and Takayuki Koike. "Intermittent Presentation of Hinoki Odor as the Inhibitory Factor on the Performance and Physiological Responses in Stroop Task." In 2011 International Conference on Biometrics and Kansei Engineering (ICBAKE). IEEE, 2011. http://dx.doi.org/10.1109/icbake.2011.15.

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Reports on the topic "Physiological biometrics"

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Balali, Vahid. Assessing the Perceived Safety of Cyclists with Virtual Reality. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2327.

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In 2022, 7,522 pedestrians and 1,084 bicyclists were killed and approximately 67,000 pedestrians and 46,195 bicyclists injured in motor vehicle crashes on public roadways in the United States, according to the Insurance Institute for Highway Safety (IIHS). The transportation industry is faced with a pressing need to bolster the safety of these vulnerable road users. This research develops models of design and environmental factors that influence bicyclists’ and pedestrians’ perception of safety using Virtual Reality (VR) technology and ultimately informs transportation infrastructure design to
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