Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
A Brain Interface For A Robot Chair
Download A Brain Interface For A Robot Chair full books in PDF, epub, and Kindle. Read online A Brain Interface For A Robot Chair ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis A Brain Interface for a Robot Chair by : Hema C.R.
Download or read book A Brain Interface for a Robot Chair written by Hema C.R. and published by LAP Lambert Academic Publishing. This book was released on 2010-10 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain Interfaces are devices that links the human brain directly to devices such as computer, wheelchairs and prosthetic arms. Such interfaces provide a digital channel for communication and control in the absence of the biological channels and thus help in the rehabilitation of mobility and speech impaired individuals. This book provides brain machine interface design for a robot chair using neural networks. This book is intended for BMI researchers and for novice readers to understand the preliminary concepts in the design of Brain Interfaces for control of Devices.
Book Synopsis Brain Machine Interface Controlled Robot Chair by : Hema C. R.
Download or read book Brain Machine Interface Controlled Robot Chair written by Hema C. R. and published by . This book was released on 2010 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Brain-Computer Interfacing for Assistive Robotics by : Vaibhav Gandhi
Download or read book Brain-Computer Interfacing for Assistive Robotics written by Vaibhav Gandhi and published by Academic Press. This book was released on 2014-09-24 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-computer interface (BCI) technology provides a means of communication that allows individuals with severely impaired movement to communicate with assistive devices using the electroencephalogram (EEG) or other brain signals. The practicality of a BCI has been possible due to advances in multi-disciplinary areas of research related to cognitive neuroscience, brain-imaging techniques and human-computer interfaces. However, two major challenges remain in making BCI for assistive robotics practical for day-to-day use: the inherent lower bandwidth of BCI, and how to best handle the unknown embedded noise within the raw EEG. Brain-Computer Interfacing for Assistive Robotics is a result of research focusing on these important aspects of BCI for real-time assistive robotic application. It details the fundamental issues related to non-stationary EEG signal processing (filtering) and the need of an alternative approach for the same. Additionally, the book also discusses techniques for overcoming lower bandwidth of BCIs by designing novel use-centric graphical user interfaces. A detailed investigation into both these approaches is discussed. An innovative reference on the brain-computer interface (BCI) and its utility in computational neuroscience and assistive robotics Written for mature and early stage researchers, postgraduate and doctoral students, and computational neuroscientists, this book is a novel guide to the fundamentals of quantum mechanics for BCI Full-colour text that focuses on brain-computer interfacing for real-time assistive robotic application and details the fundamental issues related with signal processing and the need for alternative approaches A detailed introduction as well as an in-depth analysis of challenges and issues in developing practical brain-computer interfaces.
Book Synopsis Advanced Human-Robot Collaboration in Manufacturing by : Lihui Wang
Download or read book Advanced Human-Robot Collaboration in Manufacturing written by Lihui Wang and published by Springer Nature. This book was released on 2021-06-10 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research, challenges and solutions in the area of human–robot collaboration (HRC) in manufacturing. It enables readers to better understand the dynamic behaviour of manufacturing processes, and gives more insight into on-demand adaptive control techniques for industrial robots. With increasing complexity and dynamism in today’s manufacturing practice, more precise, robust and practical approaches are needed to support real-time shop-floor operations. This book presents a collection of recent developments and innovations in this area, relying on a wide range of research efforts. The book is divided into five parts. The first part presents a broad-based review of the key areas of HRC, establishing a common ground of understanding in key aspects. Subsequent chapters focus on selected areas of HRC subject to intense recent interest. The second part discusses human safety within HRC. The third, fourth and fifth parts provide in-depth views of relevant methodologies and algorithms. Discussing dynamic planning and monitoring, adaptive control and multi-modal decision making, the latter parts facilitate a better understanding of HRC in real situations. The balance between scope and depth, and theory and applications, means this book appeals to a wide readership, including academic researchers, graduate students, practicing engineers, and those within a variety of roles in manufacturing sectors.
Book Synopsis Machine Learning Using Brain Computer Interface (BCI) System by : Kevin Motoyoshi Matsuno
Download or read book Machine Learning Using Brain Computer Interface (BCI) System written by Kevin Motoyoshi Matsuno and published by . This book was released on 2021 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineers in the field of control systems have been recently drawn to the development of creating a hands-free and speech-free controller interface over computers and robotic devices. The primary individuals who would use this type of controller suffer from progressive nervous system diseases or other forms of paralysis that have severely restricted any movement of the limbs. Despite their physical limitations, these same individuals have an uncompromised brain full of cognitive and sensory functions. As a result, one solution to restore mobility and autonomy to the paralyzed is to create a controller that utilizes their brain signals. A brain computer interface (BCI) applies brain signals as input to a controller that will then drive a robot arm or transporter. By linking a specific mental task (i.e. imagine squeezing the right hand) to a command a robot (i.e. make a right turn), users have the ability to navigate an electrically powered wheel chair or robot-aid for themselves. While there is potential to create a wide range of controller commands, brainwaves come with their own set of challenges. These signals are non-stationary and non-linear; meaning, brainwaves constantly vary and are extremely difficult to model. In addition, noise from other involuntary functions (i.e. blinking and facial muscle activation) may bury the unique signals associated to the mental task. To overcome these obstacles, control system engineers have implemented a signal preprocessing step and machine learning approach to these controllers. The combination of selecting the right preprocessor, machine learning algorithm, and training the user to conduct clear mental tasks creates an accurate and responsive BCI controller. The main goal of this project is to design a six-class hybrid BCI controller for a semi-autonomous mobile robotic arm. The controller is designed to operate the robotic base and arm separately. To do this, a set of EEG motor imagery hand and feet signals serves two primary functions: they navigate the robot base in the environment and move a cursor on the robot's camera screen to highlight what object to grab. In addition, a jaw clench, which is an electromyogram (EMG) signal, is used to switch between commanding the base and the arm. Designing a controller with this capability for multiple users requires a compilation of hardware to record/stream brainwaves and software to preprocess and train a machine learning algorithm. A modified 14-channel commercial grade non-invasive electroencephalogram (EEG) headset from Emotiv Epoch was used to output the brain waves of three healthy males (ages 22 - 27) to the computer. Each subject recorded five sessions, each with four tests, of their responses to OpenViBE's stimulus presentation program. The recordings were then uploaded to EEGLAB, an open source MATLAB plug-in, where the signals were preprocessed with filters and the implementation of Independent Component Analysis (ICA). Additionally, EEGLAB was used to plot Event Related Potential (ERP) plots and topographical maps to observe each subject's brain activity. After reviewing all the plots, each subject shared the same behavior in electrodes C1, C3, C5, C2, C4, and C6. For comparison, two machine learning algorithms, linear discriminant analysis (LDA) and relevance vector machine (RVM) were chosen to process and classify the subjects' recordings. The performance for each classifier was recorded for a 2-class, 3-class, 5-class, and 6-class controller. RVM out performed LDA with multi-class controllers. For a 5-class controller, the error rate percentages were: 45% for subject S01, 30.8% for subject S02, and 29.2% for subject S03. With the proper electrodes and machine learning algorithms identified, the official 6-class controller was created with a common spatial pattern (CSP) filter and RVM classifier. It was observed that the accuracy of the controller decreased as the number of classes increased. The 6-class BCI controller was integrated into a virtual model of the semi-autonomous robotic arm where it successfully demonstrated the ability to separately move the base, move the cursor on the robot's camera screen, and activate the action to pick up/drop off an object.
Book Synopsis Brain-Computer Interfaces by : Desney S. Tan
Download or read book Brain-Computer Interfaces written by Desney S. Tan and published by Springer Science & Business Media. This book was released on 2010-06-10 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Neuro-Robotics by : Panagiotis Artemiadis
Download or read book Neuro-Robotics written by Panagiotis Artemiadis and published by Springer. This book was released on 2014-07-10 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-robotics is one of the most multidisciplinary fields of the last decades, fusing information and knowledge from neuroscience, engineering and computer science. This book focuses on the results from the strategic alliance between Neuroscience and Robotics that help the scientific community to better understand the brain as well as design robotic devices and algorithms for interfacing humans and robots. The first part of the book introduces the idea of neuro-robotics, by presenting state-of-the-art bio-inspired devices. The second part of the book focuses on human-machine interfaces for performance augmentation, which can seen as augmentation of abilities of healthy subjects or assistance in case of the mobility impaired. The third part of the book focuses on the inverse problem, i.e. how we can use robotic devices that physically interact with the human body, in order (a) to understand human motor control and (b) to provide therapy to neurologically impaired people or people with disabilities.
Book Synopsis Brain-Computer Interfaces by : Theodore W. Berger
Download or read book Brain-Computer Interfaces written by Theodore W. Berger and published by Springer. This book was released on 2010-10-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We have come to know that our ability to survive and grow as a nation to a very large degree depends upon our scientific progress. Moreover, it is not enough simply to keep 1 abreast of the rest of the world in scientific matters. We must maintain our leadership. President Harry Truman spoke those words in 1950, in the aftermath of World War II and in the midst of the Cold War. Indeed, the scientific and engineering leadership of the United States and its allies in the twentieth century played key roles in the successful outcomes of both World War II and the Cold War, sparing the world the twin horrors of fascism and totalitarian communism, and fueling the economic prosperity that followed. Today, as the United States and its allies once again find themselves at war, President Truman’s words ring as true as they did a half-century ago. The goal set out in the Truman Administration of maintaining leadership in science has remained the policy of the U. S. Government to this day: Dr. John Marburger, the Director of the Office of Science and Technology (OSTP) in the Executive Office of the President, made remarks to that effect during his 2 confirmation hearings in October 2001. The United States needs metrics for measuring its success in meeting this goal of maintaining leadership in science and technology. That is one of the reasons that the National Science Foundation (NSF) and many other agencies of the U. S.
Book Synopsis Brain and Behavior Computing by : Mridu Sahu
Download or read book Brain and Behavior Computing written by Mridu Sahu and published by CRC Press. This book was released on 2021-06-23 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it’s working. Describes brain modeling and all possible machine learning methods and their uses. Augments the use of data mining and machine learning to brain computer interface (BCI) devices. Includes case studies and actual simulation examples. This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.
Book Synopsis Human-Robot Interaction by : Ramana Vinjamuri
Download or read book Human-Robot Interaction written by Ramana Vinjamuri and published by BoD – Books on Demand. This book was released on 2023-05-10 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Human-Robot Interaction - Perspectives and Applications highlights the latest developments and obstacles in the field of human-machine interaction, including collaborative and humanoid robots, symbiosis between humans and robots, human-human collaboration, and robotics. Human-robot interaction has immense potential in areas like healthcare, education, manufacturing, military, and space exploration. This volume consists of several chapters that explore various topics such as the use of robotic wheelchairs, deep neural networks for robot grasp recognition, materials and sensors required for human-robot interaction, the use of drone technology in agriculture, healthcare robots in smart hospitals, and more.
Book Synopsis Brain-computer Interface Control of an Anthropomorphic Robotic Arm by : Samuel T. Clanton
Download or read book Brain-computer Interface Control of an Anthropomorphic Robotic Arm written by Samuel T. Clanton and published by . This book was released on 2011 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This thesis describes a brain-computer interface (BCI) system that was developed to allow direct cortical control of 7 active degrees of freedom in a robotic arm. Two monkeys with chronic microelectrode implants in their motor cortices were able to use the arm to complete an oriented grasping task under brain control. This BCI system was created as a clinical prototype to exhibit (1) simultaneous decoding of cortical signals for control of the 3-D translation, 3-D rotation, and 1-D finger aperture of a robotic arm and hand, (2) methods for constructing cortical signal decoding models based on only observation of a moving robot, (3) a generalized method for training subjects to use complex BCI prosthetic robots using a novel form of operator-machine shared control, and (4) integrated kinematic and force control of a brain-controlled prosthetic robot through a novel impedance-based robot controller. This dissertation describes each of these features individually, how their integration enriched BCI control, and results from the monkeys operating the resulting system."
Book Synopsis ROMANSY 23 - Robot Design, Dynamics and Control by : Gentiane Venture
Download or read book ROMANSY 23 - Robot Design, Dynamics and Control written by Gentiane Venture and published by Springer Nature. This book was released on 2020-09-15 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest innovations and applications in robotics, as presented by leading international researchers and engineers at the ROMANSY 2020, the 23rd CISM IFToMM Symposium on Theory and Practice of Robots and Manipulators. The ROMANSY symposium is the first established conference that focuses on robotics theory and research, rather than industrial aspects. Bringing together researchers from a broad range of countries, the symposium is held bi-annually and plays a vital role in the development of the theory and practice of robotics, as well as the mechanical sciences. ROMANSY 2020 marks the 23rd installment in a series that began in 1973. The event was also the first topic-specific conference of the IFToMM, though not exclusively intended for the IFToMM community.
Book Synopsis Advanced Rehabilitative Technology by : Qingsong Ai
Download or read book Advanced Rehabilitative Technology written by Qingsong Ai and published by Academic Press. This book was released on 2018-08-17 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Rehabilitative Technology: Neural Interfaces and Devices teaches readers how to acquire and process bio-signals using biosensors and acquisition devices, how to identify the human movement intention and decode the brain signal, how to design physiological and musculoskeletal models and establish the neural interfaces, and how to develop neural devices and control them efficiently using biological signals. The book takes a multidisciplinary theme between the engineering and medical field, including sections on neuromuscular/brain signal processing, human motion and intention recognition, biomechanics modelling and interfaces, and neural devices and control for rehabilitation. Each chapter goes through a detailed description of the bio-mechatronic systems used and then presents implementation and testing tactics. In addition, it details new neural interfaces and devices, some of which have never been published before in any journals or conferences. With this book, readers will quickly get up-to-speed on the most recent and future advancements in bio-mechatronics engineering for applications in rehabilitation. Presents insights into emerging technologies and developments that are currently used or on the horizon in biological systems and mechatronics for rehabilitative purposes Gives a comprehensive background of biological interfaces and details of new advances in the field Addresses the challenges of rehabilitative applications in areas of bio-signal processing, bio-modelling, neural and muscular interface, and neural devices. Provides substantial background materials and relevant case studies for each subject
Book Synopsis Human Communication Technology by : R. Anandan
Download or read book Human Communication Technology written by R. Anandan and published by John Wiley & Sons. This book was released on 2021-10-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: HUMAN COMMUNICATION TECHNOLOGY A unique book explaining how perception, location, communication, cognition, computation, networking, propulsion, integration of federated Internet of Robotic Things (IoRT) and digital platforms are important components of new-generation IoRT applications through continuous, real-time interaction with the world. The 16 chapters in this book discuss new architectures, networking paradigms, trustworthy structures, and platforms for the integration of applications across various business and industrial domains that are needed for the emergence of intelligent things (static or mobile) in collaborative autonomous fleets. These new apps speed up the progress of paradigms of autonomous system design and the proliferation of the Internet of Robotic Things (IoRT). Collaborative robotic things can communicate with other things in the IoRT, learn independently, interact securely with the world, people, and other things, and acquire characteristics that make them self-maintaining, self-aware, self-healing, and fail-safe operational. Due to the ubiquitous nature of collaborative robotic things, the IoRT, which binds together the sensors and the objects of robotic things, is gaining popularity. Therefore, the information contained in this book will provide readers with a better understanding of this interdisciplinary field. Audience Researchers in various fields including computer science, IoT, artificial intelligence, machine learning, and big data analytics.
Book Synopsis Robot Futures by : Illah Reza Nourbakhsh
Download or read book Robot Futures written by Illah Reza Nourbakhsh and published by MIT Press. This book was released on 2015-08-21 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A roboticist imagines life with robots that sell us products, drive our cars, even allow us to assume new physical form, and more. With robots, we are inventing a new species that is part material and part digital. The ambition of modern robotics goes beyond copying humans, beyond the effort to make walking, talking androids that are indistinguishable from people. Future robots will have superhuman abilities in both the physical and digital realms. They will be embedded in our physical spaces, with the ability to go where we cannot, and will have minds of their own, thanks to artificial intelligence. In Robot Futures, the roboticist Illah Reza Nourbakhsh considers how we will share our world with these creatures, and how our society could change as it incorporates a race of stronger, smarter beings. Nourbakhsh imagines a future that includes adbots offering interactive custom messaging; robotic flying toys that operate by means of “gaze tracking”; robot-enabled multimodal, multicontinental telepresence; and even a way that nanorobots could allow us to assume different physical forms. Nourbakhsh examines the underlying technology and the social consequences of each scenario. He also offers a counter-vision: a robotics designed to create civic and community empowerment. His book helps us understand why that is the robot future we should try to bring about.
Book Synopsis Artificial Intelligence by : Tencent Research Institute
Download or read book Artificial Intelligence written by Tencent Research Institute and published by Springer Nature. This book was released on 2020-10-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins with the past and present of the subversive technology of artificial intelligence, clearly analyzes the overall picture, latest developments and development trends of the artificial intelligence industry, and conducts in-depth research on the competitive situation of various countries. The book also provides an in-depth analysis of the opportunities and challenges that artificial intelligence brings to individuals, businesses, and society. For readers who want to fully understand artificial intelligence, this book provides an important reference and is a must-read.
Book Synopsis Volitional inhibition: the gateway for an efficient control of voluntary movements by : Giovanni Mirabella
Download or read book Volitional inhibition: the gateway for an efficient control of voluntary movements written by Giovanni Mirabella and published by Frontiers E-books. This book was released on with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Being able to suppress a pending action is a fundamental ability for surviving in an unpredictable World. Sudden events, such as the appearance of a physical obstacle, might require a quick change of the planned motor strategy. The first step toward this goal is to suppress the pre-programmed actions. Understanding the functional characteristics and the neural underpinnings of inhibition is a primary aim, both for the treatment of such diseases as attention-deficit hyperactivity disorder, where the decision-making abilities are severely impaired, and for the development of efficient brain–machine interfaces. Despite an incredible amount of work, witnessed by tens of articles published on Medline, both the localizations of the neural substrates of voluntary inhibition and their specific contributions to this executive function are still controversial. However, the ability of vetoing pending actions is likely to be at the basis of self control and of mental simulation of voluntary actions. In other words the veto power is a cornerstone of our will. As such the neural code underling volitional inhibition should be taken into account to feed appropriate signals into artificial devices to mimic voluntary movements. The aim of the present Research Topic is twofold. On the one hand it will show the most innovative aspects of the current researches on the neural substrates and functional mechanisms of volitional inhibition. On the other hand it will deal with the possible applications of the acquired knowledge for building up interfaces that could collect and decode incoming neural signals in order to move artificial limbs and/or to interact with personal computers.
