Brain Computer Interfaces Lab Experiments To Real World Applications
Download Brain Computer Interfaces Lab Experiments To Real World Applications full books in PDF, epub, and Kindle. Read online free Brain Computer Interfaces Lab Experiments To Real World Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : |
| Publisher | : Elsevier |
| Total Pages | : 436 |
| Release | : 2016-08-27 |
| Genre | : Computers |
| ISBN | : 0128092629 |
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
| Author | : Varun Bajaj |
| Publisher | : Academic Press |
| Total Pages | : 394 |
| Release | : 2022-02-04 |
| Genre | : Science |
| ISBN | : 0323914128 |
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
| Author | : Masaaki Kurosu |
| Publisher | : Springer |
| Total Pages | : 747 |
| Release | : 2017-06-28 |
| Genre | : Computers |
| ISBN | : 331958071X |
The two-volume set LNCS 10271 and 10272 constitutes the refereed proceedings of the 19th International Conference on Human-Computer Interaction, HCII 2017, held in Vancouver, BC, Canada, in July 2017. The total of 1228 papers presented at the 15 colocated HCII 2017 conferences was carefully reviewed and selected from 4340 submissions. The papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. They 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 papers included in this volume cover the following topics: HCI theory and education; HCI, innovation and technology acceptance; interaction design and evaluation methods; user interface development; methods, tools, and architectures; multimodal interaction; and emotions in HCI.
| Author | : Desney S. Tan |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 286 |
| Release | : 2010-06-10 |
| Genre | : Computers |
| ISBN | : 1849962723 |
For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future.
| Author | : Saugat Bhattacharyya |
| Publisher | : Frontiers Media SA |
| Total Pages | : 216 |
| Release | : 2021-12-21 |
| Genre | : Science |
| ISBN | : 2889718514 |
| Author | : Christoph Guger |
| Publisher | : Springer |
| Total Pages | : 136 |
| Release | : 2017-04-29 |
| Genre | : Computers |
| ISBN | : 331957132X |
This book describes the prize-winning brain-computer-interface (BCI) projects honored in the community's most prestigious annual award. BCIs enable people to communicate and control their limbs and/or environment using thought processes alone. Research in this field continues to develop and expand rapidly, with many new ideas, research groups, and improved technologies having emerged in recent years. The chapters in this volume feature the newest developments from many of the best labs worldwide. They present both non-invasive systems (based on the EEG) and intracortical methods (based on spikes or ECoG), and numerous innovative applications that will benefit new user groups
| Author | : Anna Esposito |
| Publisher | : Springer Nature |
| Total Pages | : 523 |
| Release | : 2019-09-18 |
| Genre | : Technology & Engineering |
| ISBN | : 9811389500 |
The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human–computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotion modulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human–computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.
| Author | : Paulo Rogério de Almeida Ribeiro |
| Publisher | : Springer Nature |
| Total Pages | : 268 |
| Release | : 2022-07-18 |
| Genre | : Computers |
| ISBN | : 3031084438 |
This book constitutes the refereed proceedings of the Third Latin American Workshop, LAWCN 2021, held in Sao Luis do Maranhao, Brazil, during December 8–10, 2021. The 13 full papers and 3 short papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: Interdisciplinary applications of Artificial Intelligence (AI) and Machine Learning (ML); AI and ML applied to robotics; AI and ML applied to biomedical sciences; Health issues and computational neuroscience; Software and hardware implementations in neuroscience; and Neuroengineering – science and technology.
| Author | : Swagata Das |
| Publisher | : Springer |
| Total Pages | : 127 |
| Release | : 2018-12-08 |
| Genre | : Technology & Engineering |
| ISBN | : 9811330980 |
This book discusses the basic requirements and constraints in building a brain–computer interaction system. These include the technical requirements for building the signal processing module and the acquisition module. The major aspects to be considered when designing a signal acquisition module for a brain–computer interaction system are the human brain, types and applications of brain–computer systems, and the basics of EEG (electroencephalogram) recording. The book also compares the algorithms that have been and that can be used to design the signal processing module of brain–computer interfaces, and describes the various EEG-acquisition devices available and compares their features and inadequacies. Further, it examines in detail the use of Emotiv EPOC (an EEG acquisition module developed by Emotiv) to build a complete brain–computer interaction system for driving robots using a neural network classification module.
| Author | : Sandra Koffler |
| Publisher | : Oxford University Press |
| Total Pages | : 305 |
| Release | : 2018-12-17 |
| Genre | : Psychology |
| ISBN | : 019065256X |
Compiled reviews of the recent literature are a long established tradition in the laboratory and clinical sciences, and bring to their professions a useful and timely summary of the advances that have been made in the field. Neuropsychology has matured as a science and profession to support a like effort to summarize, across domains, the direction and momentum in the field. The authors are authorities in the subjects they review and provide for the investigator, practitioner and student an overview of the important developments in neuropsychology that cannot be realized from perusal of the journals alone. Interest in the reviews are likely to go beyond the discipline of neuropsychology, and will extend to all with an interest in science of brain-behavior relationships, in the study of disease and injury as they affect brain function, and in the rehabilitation of the individual who has suffered insult to brain. Chapters cover the pragmatic application of tests and test findings to improve our understanding of the behavior of individuals who present with neurocognitive disorders. Where there is interest in efficiently acquiring a sound perspective of the important advances and the future direction of neuropsychology, Neuropsychology: A Review of Science and Practice will provide the means for so doing as no other publication can offer.
