Signal Processing In Human Computer Interface PDF Download
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Author | : Spiros Nikolopoulos |
Publisher | : Institution of Engineering and Technology |
Total Pages | : 308 |
Release | : 2020-03-28 |
Genre | : Technology & Engineering |
ISBN | : 1785619195 |
Download Signal Processing to Drive Human-Computer Interaction Book in PDF, ePub and Kindle
The evolution of eye tracking and brain-computer interfaces has given a new perspective on the control channels that can be used for interacting with computer applications. In this book leading researchers show how these technologies can be used as control channels with signal processing algorithms and interface adaptations to drive a human-computer interface. Topics included in the book include a comprehensive overview of eye-mind interaction incorporating algorithm and interface developments; modeling the (dis)abilities of people with motor impairment and their computer use requirements and expectations from assistive interfaces; and signal processing aspects including acquisition, preprocessing, enhancement, feature extraction, and classification of eye gaze, EEG (Steady-state visual evoked potentials, motor imagery and error-related potentials) and near-infrared spectroscopy (NIRS) signals. Finally, the book presents a comprehensive set of guidelines, with examples, for conducting evaluations to assess usability, performance, and feasibility of multi-model interfaces combining eye gaze and EEG based interaction algorithms. The contributors to this book are researchers, engineers, clinical experts, and industry practitioners who have collaborated on these topics, providing an interdisciplinary perspective on the underlying challenges of eye and mind interaction and outlining future directions in the field.
Author | : Narayan Panigrahi |
Publisher | : CRC Press |
Total Pages | : 224 |
Release | : 2022-07-29 |
Genre | : Medical |
ISBN | : 1000595501 |
Download Brain Computer Interface Book in PDF, ePub and Kindle
Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data. Key Features: Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics Covers the detailed classification of different types of EEG signals with respect to their physical characteristics Explains detection and diagnosis of epileptic seizures from the EEG data of a subject Reviews the design and development of a low-cost and robust EEG acquisition system Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG data This book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.
Author | : Jean-Philippe Thiran |
Publisher | : Academic Press |
Total Pages | : 343 |
Release | : 2009-11-11 |
Genre | : Computers |
ISBN | : 0080888690 |
Download Multimodal Signal Processing Book in PDF, ePub and Kindle
Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities – speech, vision, language, text – which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges that must be overcome to develop efficient and user-friendly multimodal interactive systems. With contributions from the leading experts in the field, the present book should serve as a reference in multimodal signal processing for signal processing researchers, graduate students, R&D engineers, and computer engineers who are interested in this emerging field. Presents state-of-art methods for multimodal signal processing, analysis, and modeling Contains numerous examples of systems with different modalities combined Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes.
Author | : Toshihisa Tanaka |
Publisher | : Institution of Engineering and Technology |
Total Pages | : 355 |
Release | : 2018-09 |
Genre | : Technology & Engineering |
ISBN | : 1785613987 |
Download Signal Processing and Machine Learning for Brain-Machine Interfaces Book in PDF, ePub and Kindle
This book introduces signal processing and machine learning techniques for Brain Machine Interfacing/Brain Computer Interfacing (BMI/BCI), and their practical and future applications in neuroscience, medicine, and rehabilitation. This is an emerging and challenging technology in engineering, computing, machine learning, neuroscience and medicine, and so the book will interest researchers, engineers, professionals and specialists from all of these areas who need to know more about cutting edge technologies in the fields.
Author | : Bernhard Graimann |
Publisher | : Springer Science & Business Media |
Total Pages | : 397 |
Release | : 2010-10-29 |
Genre | : Medical |
ISBN | : 3642020917 |
Download Brain-Computer Interfaces Book in PDF, ePub and Kindle
A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control without movement. This book, authored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers and other readers from diverse backgrounds keen to learn about this vital scientific endeavour.
Author | : Jean-Philippe Thiran |
Publisher | : |
Total Pages | : 448 |
Release | : 2009 |
Genre | : |
ISBN | : |
Download Multimodal Signal Processing: Theory and Applications for Human-computer Interaction Book in PDF, ePub and Kindle
Author | : Tiwary, Uma Shanker |
Publisher | : IGI Global |
Total Pages | : 387 |
Release | : 2012-04-30 |
Genre | : Computers |
ISBN | : 1466609559 |
Download Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements Book in PDF, ePub and Kindle
"This book identifies the emerging research areas in Human Computer Interaction and discusses the current state of the art in these areas"--Provided by publisher.
Author | : Brijesh Iyer |
Publisher | : Springer |
Total Pages | : 1041 |
Release | : 2018-09-12 |
Genre | : Technology & Engineering |
ISBN | : 9811315132 |
Download Computing, Communication and Signal Processing Book in PDF, ePub and Kindle
This book highlights cutting-edge research on various aspects of human–computer interaction (HCI). It includes selected research papers presented at the Third International Conference on Computing, Communication and Signal Processing (ICCASP 2018), organized by Dr. Babasaheb Ambedkar Technological University in Lonere-Raigad, India on January 26–27, 2018. It covers pioneering topics in the field of computer, electrical, and electronics engineering, e.g. signal and image processing, RF and microwave engineering, and emerging technologies such as IoT, cloud computing, HCI, and green computing. As such, the book offers a valuable guide for all scientists, engineers and research students in the areas of engineering and technology.
Author | : Md Atiqur Rahman Ahad |
Publisher | : Springer Nature |
Total Pages | : 347 |
Release | : 2020-10-07 |
Genre | : Technology & Engineering |
ISBN | : 3030549321 |
Download Signal Processing Techniques for Computational Health Informatics Book in PDF, ePub and Kindle
This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time–frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human–computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expandour capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques inthe health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.
Author | : |
Publisher | : |
Total Pages | : 0 |
Release | : 2017 |
Genre | : Brain-computer interfaces |
ISBN | : |
Download Signal Processing in Human-Computer Interface Book in PDF, ePub and Kindle
Low efficiency of the common Human-Computer Interface (HCI) such as keyboard and mouse are exposed when operations become more and more complex. It's needed to study on advanced HCI like Brain-Computer Interface (BCI) to improve efficiency and develop new functions. BCI has potentials to be applied in driving systems and is usually used to detect the drowsiness of drivers. Once the driver is detected as being drowsy, a driving assistance system will alert him/her or the car becomes semi-autonomous. In the field of drowsiness detection, bio signal processing with a 10-20 System is the common method. Unfortunately, this method is not very accurate because of the limitation of the unknown knowledge about brain waves and judgment error on the true value of drowsiness state as well as the influence of many factors such as age, alcohol and drug. In this thesis, we studied a probabilistic neural network (PNN) based on Lempel-Ziv Complexity, Approximate Entropy, and a rational band feature. Experimental results indicate that 82% accuracy was achieved by using this PNN model for predicting the human drowsiness. We also investigated the eye movement analysis and alcohol influence on the drowsiness.