Using Neurophysiological Signals That Reflect Cognitive Or Affective State

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Using Neurophysiological Signals that Reflect Cognitive or Affective State

Author : Anne-Marie Brouwer
Publisher : Frontiers Media SA
ISBN 13 : 2889196135
Total Pages : 316 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Using Neurophysiological Signals that Reflect Cognitive or Affective State by : Anne-Marie Brouwer

Download or read book Using Neurophysiological Signals that Reflect Cognitive or Affective State written by Anne-Marie Brouwer and published by Frontiers Media SA. This book was released on 2015-07-27 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: What can we learn from spontaneously occurring brain and other physiological signals about an individual’s cognitive and affective state and how can we make use of this information? One line of research that is actively involved with this question is Passive Brain-Computer-Interfaces (BCI). To date most BCIs are aimed at assisting patients for whom brain signals could form an alternative output channel as opposed to more common human output channels, like speech and moving the hands. However, brain signals (possibly in combination with other physiological signals) also form an output channel above and beyond the more usual ones: they can potentially provide continuous, online information about an individual’s cognitive and affective state without the need of conscious or effortful communication. The provided information could be used in a number of ways. Examples include monitoring cognitive workload through EEG and skin conductance for adaptive automation or using ERPs in response to errors to correct for a behavioral response. While Passive BCIs make use of online (neuro)physiological responses and close the interaction cycle between a user and a computer system, (neuro)physiological responses can also be used in an offline fashion. Examples of this include detecting amygdala responses for neuromarketing, and measuring EEG and pupil dilation as indicators of mental effort for optimizing information systems. The described field of applied (neuro)physiology can strongly benefit from high quality scientific studies that control for confounding factors and use proper comparison conditions. Another area of relevance is ethics, ranging from dubious product claims, acceptance of the technology by the general public, privacy of users, to possible effects that these kinds of applications may have on society as a whole. In this Research Topic we aimed to publish studies of the highest scientific quality that are directed towards applications that utilize spontaneously, effortlessly generated neurophysiological signals (brain and/or other physiological signals) reflecting cognitive or affective state. We especially welcomed studies that describe specific real world applications demonstrating a significant benefit compared to standard applications. We also invited original, new kinds of (proposed) applications in this area as well as comprehensive review articles that point out what is and what is not possible (according to scientific standards) in this field. Finally, we welcomed manuscripts on the ethical issues that are involved. Connected to the Research Topic was a workshop (held on June 6, during the Fifth International Brain-Computer Interface Meeting, June 3-7, 2013, Asilomar, California) that brought together a diverse group of people who were working in this field. We discussed the state of the art and formulated major challenges, as reflected in the first paper of the Research Topic.

Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures

Author : Felix Putze
Publisher : Frontiers Media SA
ISBN 13 : 2889456919
Total Pages : 222 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures by : Felix Putze

Download or read book Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures written by Felix Putze and published by Frontiers Media SA. This book was released on 2019-02-05 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Executive cognitive functions like working memory determine the success or failure of a wide variety of different cognitive tasks, such as problem solving, navigation, or planning. Estimation of constructs like working memory load or memory capacity from neurophysiological or psychophysiological signals would enable adaptive systems to respond to cognitive states experienced by an operator and trigger responses designed to support task performance (e.g. by simplifying the exercises of a tutor system when the subject is overloaded, or by shutting down distractions from the mobile phone). The determination of cognitive states like working memory load is also useful for automated testing/assessment or for usability evaluation. While there exists a large body of research work on neural and physiological correlates of cognitive functions like working memory activity, fewer publications deal witt the application of this research with respect to single-trial detection and real-time estimation of cognitive functions in complex, realistic scenarios. Single-trial classifiers based on brain activity measurements such as electroencephalography, functional near-infrared spectroscopy, physiological signals or eye tracking have the potential to classify affective or cognitive states based upon short segments of data. For this purpose, signal processing and machine learning techniques need to be developed and transferred to real-world user interfaces. The goal of this Frontiers Research Topic was to advance the State-of-the-Art in signal-based modeling of cognitive processes. We were especially interested in research towards more complex and realistic study designs, for example collecting data in the wild or investigating the interaction between different cognitive processes or signal modalities. Bringing together many contributions in one format allowed us to look at the state of convergence or diversity regarding concepts, methods, and paradigms.

HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games

Author : Constantine Stephanidis
Publisher : Springer Nature
ISBN 13 : 3030601285
Total Pages : 787 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games by : Constantine Stephanidis

Download or read book HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games written by Constantine Stephanidis and published by Springer Nature. This book was released on 2020-10-03 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes late breaking papers from the 22nd International Conference on Human-Computer Interaction, HCII 2020, which was held in July 2020. The conference was planned to take place in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings before the conference took place. In addition, a total of 333 papers and 144 posters are included in the volumes of the proceedings published after the conference as “Late Breaking Work” (papers and posters). These contributions address the latest research and development efforts in the field and highlight the human aspects of design and use of computing systems.

Brain-Computer Interfaces: Lab Experiments to Real-World Applications

Author :
Publisher : Elsevier
ISBN 13 : 0128092629
Total Pages : 434 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Brain-Computer Interfaces: Lab Experiments to Real-World Applications by :

Download or read book Brain-Computer Interfaces: Lab Experiments to Real-World Applications written by and published by Elsevier. This book was released on 2016-08-27 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-Computer Interfaces: Lab Experiments to Real-World Applications, the latest volume in the Progress in Brain Research series, focuses on new trends and developments. This established international series examines major areas of basic and clinical research within the neurosciences, as well as popular and emerging subfields. Explores new trends and developments in brain research Enhances the literature of neuroscience by further expanding this established, ongoing international series Examines major areas of basic and clinical research within the field

Information Systems and Neuroscience

Author : Fred D. Davis
Publisher : Springer Nature
ISBN 13 : 3031130642
Total Pages : 362 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Information Systems and Neuroscience by : Fred D. Davis

Download or read book Information Systems and Neuroscience written by Fred D. Davis and published by Springer Nature. This book was released on 2022-12-02 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the NeuroIS Retreat 2022, June 14-16, Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.

Advances in Electrodermal Activity Processing with Applications for Mental Health

Author : Alberto Greco
Publisher : Springer
ISBN 13 : 3319467050
Total Pages : 138 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Advances in Electrodermal Activity Processing with Applications for Mental Health by : Alberto Greco

Download or read book Advances in Electrodermal Activity Processing with Applications for Mental Health written by Alberto Greco and published by Springer. This book was released on 2016-11-17 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores Autonomic Nervous System (ANS) dynamics as investigated through Electrodermal Activity (EDA) processing. It presents groundbreaking research in the technical field of biomedical engineering, especially biomedical signal processing, as well as clinical fields of psychometrics, affective computing, and psychological assessment. This volume describes some of the most complete, effective, and personalized methodologies for extracting data from a non-stationary, nonlinear EDA signal in order to characterize the affective and emotional state of a human subject. These methodologies are underscored by discussion of real-world applications in mood assessment. The text also examines the physiological bases of emotion recognition through noninvasive monitoring of the autonomic nervous system. This is an ideal book for biomedical engineers, physiologists, neuroscientists, engineers, applied mathmeticians, psychiatric and psychological clinicians, and graduate students in these fields. This book also: Expertly introduces a novel approach for EDA analysis based on convex optimization and sparsity, a topic of rapidly increasing interest Authoritatively presents groundbreaking research achieved using EDA as an exemplary biomarker of ANS dynamics Deftly explores EDA's potential as a source of reliable and effective markers for the assessment of emotional responses in healthy subjects, as well as for the recognition of pathological mood states in bipolar patients

Artificial Intelligence-Based Brain-Computer Interface

Author : Varun Bajaj
Publisher : Academic Press
ISBN 13 : 0323914128
Total Pages : 394 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence-Based Brain-Computer Interface by : Varun Bajaj

Download or read book Artificial Intelligence-Based Brain-Computer Interface written by Varun Bajaj and published by Academic Press. This book was released on 2022-02-04 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling of non-invasive modalities of medical signals such as EEG, MRI and FMRI. These modalities and their AI-based analysis are employed in BCI and related applications. The book emphasizes the real challenges in non-invasive input due to the complex nature of the human brain and for a variety of applications for analysis, classification and identification of different mental states. Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI. Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities such as EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system and various organs of the body. The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services. Provides readers with an understanding of key applications of Artificial Intelligence to Brain-Computer Interface for acquisition and modelling of non-invasive biomedical signal and image modalities for various conditions and disorders Integrates recent advancements of Artificial Intelligence to the evaluation of large amounts of clinical data for the early detection of disorders such as Epilepsy, Alcoholism, Sleep Apnea, motor-imagery tasks classification, and others Includes illustrative examples on how Artificial Intelligence can be applied to the Brain-Computer Interface, including a wide range of case studies in predicting and classification of neurological disorders

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Author : Kyandoghere Kyamakya
Publisher : MDPI
ISBN 13 : 3036511385
Total Pages : 550 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Emotion and Stress Recognition Related Sensors and Machine Learning Technologies by : Kyandoghere Kyamakya

Download or read book Emotion and Stress Recognition Related Sensors and Machine Learning Technologies written by Kyandoghere Kyamakya and published by MDPI. This book was released on 2021-09-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies.

Emotion recognition using brain-computer interfaces and advanced artificial intelligence

Author : Yizhang Jiang
Publisher : Frontiers Media SA
ISBN 13 : 2832505171
Total Pages : 413 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Emotion recognition using brain-computer interfaces and advanced artificial intelligence by : Yizhang Jiang

Download or read book Emotion recognition using brain-computer interfaces and advanced artificial intelligence written by Yizhang Jiang and published by Frontiers Media SA. This book was released on 2023-02-17 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Augmented Cognition. Neurocognition and Machine Learning

Author : Dylan D. Schmorrow
Publisher : Springer
ISBN 13 : 3319586289
Total Pages : 586 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Augmented Cognition. Neurocognition and Machine Learning by : Dylan D. Schmorrow

Download or read book Augmented Cognition. Neurocognition and Machine Learning written by Dylan D. Schmorrow and published by Springer. This book was released on 2017-06-28 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 11th International Conference on Augmented Cognition, AC 2017, held as part of the International Conference on Human-Computer Interaction, HCII 2017, which took place in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The two volumes set of AC 2017 presents 81 papers which are organized in the following topical sections: electroencephalography and brain activity measurement, eye tracking in augmented cognition, physiological measuring and bio-sensing, machine learning in augmented cognition, cognitive load and performance, adaptive learning systems, brain-computer interfaces, human cognition and behavior in complex tasks and environments.

Pattern Recognition and Data Analysis with Applications

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 9811915202
Total Pages : 816 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Pattern Recognition and Data Analysis with Applications by : Deepak Gupta

Download or read book Pattern Recognition and Data Analysis with Applications written by Deepak Gupta and published by Springer Nature. This book was released on 2022-09-01 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG).

Symbiotic Interaction

Author : Jaap Ham
Publisher : Springer
ISBN 13 : 3319915932
Total Pages : 111 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Symbiotic Interaction by : Jaap Ham

Download or read book Symbiotic Interaction written by Jaap Ham and published by Springer. This book was released on 2018-05-22 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 6th International Workshop on Symbiotic Interaction, Symbiotic 2017, held in Eindhoven, The Netherlands in December 2017. The 8 full papers, 2 short papers and 1 report presented in this volume were carefully reviewed and selected from 23 submissions. The International Workshop on Symbiotic Interaction is the primary venue for presenting scientific work dealing with the symbiotic relationships between humans and computers and for discussing the nature and implications of such relationships.

Clinical Neurotechnology meets Artificial Intelligence

Author : Orsolya Friedrich
Publisher : Springer Nature
ISBN 13 : 3030645908
Total Pages : 232 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Clinical Neurotechnology meets Artificial Intelligence by : Orsolya Friedrich

Download or read book Clinical Neurotechnology meets Artificial Intelligence written by Orsolya Friedrich and published by Springer Nature. This book was released on 2021-03-03 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurotechnologies such as brain-computer interfaces (BCIs), which allow technical devices to be used with the power of thought or concentration alone, are no longer a futuristic dream or, depending on the viewpoint, a nightmare. Moreover, the combination of neurotechnologies and AI raises a host of pressing problems. Now that these technologies are about to leave the laboratory and enter the real world, these problems and implications can and should be scrutinized. This volume brings together scholars from a wide range of academic disciplines such as philosophy, law, the social sciences and neurosciences, and is unique in terms of both its focus and its methods. The latter vary considerably, and range from philosophical analysis and phenomenologically inspired descriptions to legal analysis and socio-empirical research. This diversified approach allows the book to explore the entire spectrum of philosophical, normative, legal and empirical dimensions of intelligent neurotechnologies. Philosophical and legal analyses of normative problems are complemented by a thorough empirical assessment of how BCIs and other forms of neurotechnology are being implemented, and what their measurable implications are. To take a closer look at specific neurotechnologies, a number of applications are addressed. Case studies, previously unidentified issues, and normative insights on these cases complement the rich portrait this volume provides. Clinicians, philosophers, lawyers, social scientists and engineers will greatly benefit from the collection of articles compiled in this book, which will likely become a standard reference work on the philosophy of intelligent neurotechnologies.

Recognizing the State of Emotion, Cognition and Action from Physiological and Behavioural Signals

Author : Siyuan Chen
Publisher : Frontiers Media SA
ISBN 13 : 2889769488
Total Pages : 144 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Recognizing the State of Emotion, Cognition and Action from Physiological and Behavioural Signals by : Siyuan Chen

Download or read book Recognizing the State of Emotion, Cognition and Action from Physiological and Behavioural Signals written by Siyuan Chen and published by Frontiers Media SA. This book was released on 2022-09-13 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Human Mental Workload: Models and Applications

Author : Luca Longo
Publisher : Springer Nature
ISBN 13 : 3030914089
Total Pages : 173 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Human Mental Workload: Models and Applications by : Luca Longo

Download or read book Human Mental Workload: Models and Applications written by Luca Longo and published by Springer Nature. This book was released on 2021-11-23 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2021, held virtually in November 2021.The volume presents 9 revised full papers, which were carefully reviewed and selected from 16 submissions. The papers are organized in two topical sections on models and applications.

Industrial Neuroscience in Aviation

Author : Gianluca Borghini
Publisher : Springer
ISBN 13 : 3319585983
Total Pages : 147 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Industrial Neuroscience in Aviation by : Gianluca Borghini

Download or read book Industrial Neuroscience in Aviation written by Gianluca Borghini and published by Springer. This book was released on 2017-05-09 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the emerging field of industrial neuroscience, and reports on the authors’ cutting-edge findings in the evaluation of mental states, including mental workload, cognitive control and training of personnel involved either in the piloting of aircraft and helicopters, or in managing air traffic. It encompasses neuroimaging and cognitive psychology techniques and shows how they have been successfully applied in the evaluation of human performance and human-machine interactions, and to guarantee a proper level of safety in such operational contexts. With an introduction to the most relevant concepts of neuroscience, neurophysiological techniques, simulators and case studies in aviation environments, it is a must-have for both students and scientists in the field of aeronautic and biomedical engineering, as well as for various professionals in the aviation world. This is the first book to intensively apply neurosciences to the evaluation of human factors and mental states in aviation.

Emerging Cognitive Neuroscience and Related Technologies

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309118948
Total Pages : 215 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Emerging Cognitive Neuroscience and Related Technologies by : National Research Council

Download or read book Emerging Cognitive Neuroscience and Related Technologies written by National Research Council and published by National Academies Press. This book was released on 2008-12-06 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging Cognitive Neuroscience and Related Technologies, from the National Research Council, identifies and explores several specific research areas that have implications for U.S. national security, and should therefore be monitored consistently by the intelligence community. These areas include: neurophysiological advances in detecting and measuring indicators of psychological states and intentions of individuals the development of drugs or technologies that can alter human physical or cognitive abilities advances in real-time brain imaging breakthroughs in high-performance computing and neuronal modeling that could allow researchers to develop systems which mimic functions of the human brain, particularly the ability to organize disparate forms of data. As these fields continue to grow, it will be imperative that the intelligence community be able to identify scientific advances relevant to national security when they occur. To do so will require adequate funding, intelligence analysts with advanced training in science and technology, and increased collaboration with the scientific community, particularly academia. A key tool for the intelligence community, this book will also be a useful resource for the health industry, the military, and others with a vested interest in technologies such as brain imaging and cognitive or physical enhancers.