Towards Context Aware Brain Computer Interfaces
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Towards Context Aware Brain Computer Interfaces
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Author : Andrew Myrden
language : en
Publisher:
Release Date : 2016
Towards Context Aware Brain Computer Interfaces written by Andrew Myrden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Brain-computer interfaces (BCIs) allow individuals with disabilities to communicate and control their environment without the necessity for volitional speech or motor activation. However, most current BCIs are prone to significant performance fluctuations and incapable of adapting to their users. These shortcomings impair practical BCI usage. This thesis investigates the feasibility of a hybrid BCI that is capable of detecting and adapting to underlying changes in user mental state. The thesis comprises four major studies, each representing a step towards this ultimate goal. The first study formulates a novel signal processing algorithm for the frequency-domain analysis of electroencephalographic (EEG) recordings. The second study examines the ability to automatically detect fluctuations in three mental states that are important to BCI usage - fatigue, frustration, and attention - based on electrical activity recorded from the surface of the scalp using EEG. The third study explores the effects of each of these mental states on the online operation of a two-class EEG-BCI. The final study investigates the efficacy of two different methods - reliability prediction and adaptive classification - by which a BCI can adapt to changes in fatigue, frustration, and attention. In the first study, the novel algorithm, based on a clustering of spectral power features, was shown to compress EEG signals with less information loss than traditional frequency-domain analyses. In the second study, fluctuations in fatigue, frustration, and attention were detected with mean classification accuracies of 76.8%, 71.9%, and 86.1%, respectively. In the third study, a significant relationship between perceived frustration and BCI accuracy was uncovered and optimal regions for BCI performance were identified in several multi-dimensional representations of user mental state. In the final study, estimated mental state was used to predict the onset of low-accuracy BCI performance, with an 8% decrement in classification accuracy between the predicted high and low accuracy conditions. This study also demonstrated the ability to directly adapt BCI classification, leading to statistically significant increases in classification accuracy for roughly half of participants without significantly compromising performance for the remainder of the study population.
Brain Computer Interfaces Handbook
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Author : Chang S. Nam
language : en
Publisher: CRC Press
Release Date : 2018-01-09
Brain Computer Interfaces Handbook written by Chang S. Nam and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-09 with Computers categories.
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces (BCIs). The authors supply readers with a contemporary presentation of fundamentals, theories, and diverse applications of BCI, creating a valuable resource for anyone involved with the improvement of people’s lives by replacing, restoring, improving, supplementing or enhancing natural output from the central nervous system. It is a useful guide for readers interested in understanding how neural bases for cognitive and sensory functions, such as seeing, hearing, and remembering, relate to real-world technologies. More precisely, this handbook details clinical, therapeutic and human-computer interfaces applications of BCI and various aspects of human cognition and behavior such as perception, affect, and action. It overviews the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying users’ mental states and intentions. Various theories, models, and empirical findings regarding the ways in which the human brain interfaces with external systems and environments using BCI are also explored. The handbook concludes by engaging ethical considerations, open questions, and challenges that continue to face brain–computer interface research. Features an in-depth look at the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying the user's intention Covers various theories, models, and empirical findings regarding ways in which the human brain can interface with the systems or external environments Presents applications of BCI technology to understand various aspects of human cognition and behavior such as perception, affect, action, and more Includes clinical trials and individual case studies of the experimental therapeutic applications of BCI Provides human factors and human-computer interface concerns in the design, development, and evaluation of BCIs Overall, this handbook provides a synopsis of key technological and theoretical advances that are directly applicable to brain–computer interfacing technologies and can be readily understood and applied by individuals with no formal training in BCI research and development.
Context Aware Systems And Applications
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Author : Cong Vinh Phan
language : en
Publisher: Springer Nature
Release Date : 2023-03-23
Context Aware Systems And Applications written by Cong Vinh Phan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-23 with Computers categories.
This book constitutes the 11th EAI International Conference of the International Conference on Context-Aware Systems and Applications, ICCASA 2022, held in Vinh Long, Vietnam, during October 27-28, 2022. The 14 revised full papers presented were carefully selected from 40 submissions. The papers cover a wide spectrum of modern approaches and techniques for smart computing systems and their applications.
The Human Face Of Ambient Intelligence
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Author : Simon Elias Bibri
language : en
Publisher: Springer
Release Date : 2015-06-26
The Human Face Of Ambient Intelligence written by Simon Elias Bibri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-26 with Computers categories.
As a socially disruptive technology, Ambient Intelligence is ultimately directed towards humans and targeted at the mundane life made of an infinite richness of circumstances that cannot fully be considered and easily be anticipated. Most books, however, focus their analysis on, or deal largely with, the advancement of the technology and its potential only. This book offers a fresh, up–to–date, and holistic approach to Ambient Intelligence. As such, it addresses the interdisciplinary and transdisciplinary aspects of the rapidly evolving field of Ambient Intelligence by seamlessly integrating and fusing it with artificial intelligence, cognitive science and psychology, social sciences, and humanities. It is divided into two main parts: Part 1 is about different permutations of enabling technologies as well as core computational capabilities, namely context awareness, implicit and natural interaction, and intelligent behavior. It details the existing and upcoming prerequisite technologies, and elucidates the application and convergence of major current and future computing trends. Part 2 is an accessible review and synthesis of the latest research in the human-directed sciences and computing and how these are intricately interrelated in the realm of Ambient Intelligence. It deals with the state–of–the–art human–inspired applications which show human-like understanding and exhibit intelligent behavior in relation to a variety of aspects of human functioning – states and processes. It describes and elaborates on the rich potential of Ambient Intelligence from a variety of interrelated perspectives and the plethora of challenges and bottlenecks involved in making Ambient Intelligence a reality, and also discusses the established knowledge and recent discoveries in the human–directed sciences and their application and convergence in the ambit of Ambient Intelligence computing. This seminal reference work is the most comprehensive of its kind, and will prove invaluable to students, researchers, and professionals across both computing and the human-directed sciences.
Human Computer Interaction Fundamentals
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Author : Andrew Sears
language : en
Publisher: CRC Press
Release Date : 2009-03-02
Human Computer Interaction Fundamentals written by Andrew Sears and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-02 with Computers categories.
Hailed on first publication as a compendium of foundational principles and cutting-edge research, The Human-Computer Interaction Handbook has become the gold standard reference in this field. Derived from select chapters of this groundbreaking and authoritative resource, Human-Computer Interaction Fundamentals emphasizes emerging topics such as sen
The Human Computer Interaction Handbook
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Author : Andrew Sears
language : en
Publisher: CRC Press
Release Date : 2007-09-19
The Human Computer Interaction Handbook written by Andrew Sears and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-19 with Technology & Engineering categories.
This second edition of The Human-Computer Interaction Handbook provides an updated, comprehensive overview of the most important research in the field, including insights that are directly applicable throughout the process of developing effective interactive information technologies. It features cutting-edge advances to the scientific
Signal Processing And Machine Learning For Biomedical Big Data
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Author : Ervin Sejdic
language : en
Publisher: CRC Press
Release Date : 2018-07-04
Signal Processing And Machine Learning For Biomedical Big Data written by Ervin Sejdic and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-04 with Medical categories.
Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book’s material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.
Ambient Assisted Living
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Author : Jose Bravo
language : en
Publisher: Springer
Release Date : 2011-05-31
Ambient Assisted Living written by Jose Bravo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-31 with Computers categories.
This book constitutes the refereed proceedings of the Third International Workshop on Ambient Assisted Living, IWAAL 2011, held in Torremolinos-Málaga, Spain, in June 2011 as a satellite event of IWANN 2011, the International Work-Conference on Artificial and Natural Neural Networks.. The 30 papers presented were carefully reviewed and selected from numerous submissions. They are organized in topical sections on mobile proposals for AAL, applications for cognitive impairments, e-health, smart and wireless sensors, applied technologies, frameworks and platforms, and methodologies and brain interfaces.
4th Biotechnology And Bioinformatics Symposium
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Author :
language : en
Publisher:
Release Date : 2007
4th Biotechnology And Bioinformatics Symposium written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Bioinformatics categories.
Cuu Conference Proceedings
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Author :
language : en
Publisher:
Release Date : 2003
Cuu Conference Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Human-computer interaction categories.