Download or read book Machine Learning for Hand Gesture Classification from Surface Electromyography Signals written by A. Hartwell and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Surface Electromyography written by Roberto Merletti and published by John Wiley & Sons. This book was released on 2016-05-02 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing and interpretation Addresses EMG imaging technology together with the issue of decomposition of surface EMG Includes advanced single and multi-channel techniques for information extraction from surface EMG signals Presents the analysis and information extraction of surface EMG at various scales, from motor units to the concept of muscle synergies.
Download or read book Surface EMG Based Hand Gesture Recognition Using Hybrid Deep Learning Networks written by Baao Xie and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of International Conference on Communication Circuits and Systems written by Sukanta Kumar Sabut and published by Springer Nature. This book was released on 2021-04-02 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book proposes new technologies and discusses innovative solutions to various problems in the field of communication, circuits, and systems, as reflected in high-quality papers presented at International Conference on Communication, Circuits, and Systems (IC3S 2020) held at KIIT, Bhubaneswar, India from 16 – 18 October 2020. It brings together new works from academicians, scientists, industry professionals, scholars, and students together to exchange research outcomes and open up new horizons in the areas of signal processing, communications, and devices.
Download or read book Advanced Computational Intelligence for Object Detection Feature Extraction and Recognition in Smart Sensor Environments written by Marcin Woźniak and published by . This book was released on 2021 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland -
Download or read book Pattern Recognition of Surface Electromyography Signals for Real time Control of Wrist Exoskeletons written by Zeeshan Omer Khokhar and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surface electromyography (sEMG) signals have been used in numerous studies for the classification of hand gestures and successfully implemented in the position control of different prosthetic hands. An estimation of the intended torque of the user could also provide sufficient information for an effective force control of hand prosthesis or an assistive device. This thesis presents the use of pattern recognition to estimate the torque applied by a human wrist and its real-time implementation to control an exoskeleton prototype that can function as an assistive device. Data from eight volunteers was gathered and Support Vector Machines (SVM) was used for classification. An average testing accuracy of 88% was achieved for nineteen classes. The classification and control algorithm implemented was executed in less than 125 ms. The results of this study showed that real-time classification of sEMG using SVM for controlling an exoskeleton is feasible.
Download or read book Event Based Neuromorphic Systems written by Shih-Chii Liu and published by John Wiley & Sons. This book was released on 2015-02-16 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Presents examples of practical applications of neuromorphic design principles. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.
Download or read book Force Myography Signal Based Hand Gesture Classification for the Implementation of Real Time Prosthetic Hand Control System written by Nguon Ha and published by . This book was released on 2017 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis aims to develop an interfacing mechanism for controlling prosthetic devices using Force Myography signal (FMG) and various hand gesture classifications. The FMG signals have been collected through three piezoelectric sensors banded around the forearm and Omega Data Acquisition (DAQ) System. The recorded data has been imported into Matlab, Simulink software for analysis and classification. The hand motion has been recorded through Virtual Motion Glove (VMG), and utilized in the system identification procedure to find out the dynamic relationship between the hand gesture and the corresponding FMG signals. Several classification and recognition models have been considered. Tree Decision Learning and Support Vector Machine (SVM) showed high accuracy results. Both of these estimated models generate above 82% of accuracy in terms of classification. The feasibility of the FMG signal for the implementation of a control system in the prosthetic hand is also tested. The result shows a high degree of accuracy in replicating the grasping gestures using threshold method. To limit and control, both the position and the amount of force applied at the fingertips of a prosthetic hand, a dynamic relationship has been established with the corresponding FMG signal through system identification method. These relationships will provide a useful foundation for the implementation and utilization of control system in an assistive device. In order to see the performance of FMG over electromyography (EMG), a comparative analysis has been performed by collecting EMG signals from the same groups of muscles. Unlike EMG, FMG signal is not affected by sweat, skin impedance, and doesn't need a reference signal.
Download or read book Towards Neuroscience Inspired Intelligent Computing Theory Methods and Applications written by Di Wu and published by Frontiers Media SA. This book was released on 2023-04-03 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Using Photoplethysmography for Simple Hand Gesture Recognition written by Karthik Subramanian and published by . This book was released on 2020 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A new wearable band is developed which uses three Photoplethysmography (PPG) sensors for the purpose of hand gesture recognition (HGR). These sensors are typically used for heart rate estimation and detection of cardiovascular diseases. Heart rate estimates obtained from these sensors are disregarded when the arm is in motion on account of artifacts. This research suggests and demonstrates that these artifacts are repeatable in nature based on the gestures performed. A comparative study is made between the developed band and the Myo Armband which uses surface-Electromyography (s-EMG) for gesture recognition. Based on the results of this paper which employs supervised machine learning techniques, it can be seen that PPG can be utilized as a viable alternative modality for gesture recognition applications."--Abstract.
Download or read book Machine Learning Approaches to Human Movement Analysis written by Matteo Zago and published by Frontiers Media SA. This book was released on 2021-03-04 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book ICTMI 2017 written by Balázs Gulyás and published by Springer. This book was released on 2019-02-07 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest research presented at the International Conference on Translational Medicine and Imaging (ICTMI) 2017. This event brought together the world’s leading scientists, engineers and clinicians from a wide range of disciplines in the field of medical imaging. Bioimaging has continued to evolve across a wide spectrum of applications from diagnostics and personalized therapy to the mechanistic understanding of biological processes, and as a result there is ever-increasing demand for more robust methods and their integration with clinical and molecular data. This book presents a number of these methods.
Download or read book Control of Prosthetic Hands written by Kianoush Nazarpour and published by . This book was released on 2020 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book brings together research from laboratories across the world, offering a global perspective on advances in prosthetic hand control. State-of-the-art control of prosthetics in laboratories and clinical spaces are presented and challenges discussed, and effects of user training on control of prosthetics are also highlighted.
Download or read book Machine Learning Image Processing Network Security and Data Sciences written by Rajesh Doriya and published by Springer Nature. This book was released on 2023-01-01 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.
Download or read book Advances in Simulation and Digital Human Modeling written by Daniel N Cassenti and published by Springer Nature. This book was released on 2020-06-27 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in modeling and simulation for human factors research. It reports on cutting-edge simulators such as virtual and augmented reality, multisensory environments, and modeling and simulation methods used in various applications, including surgery, military operations, occupational safety, sports training, education, transportation and robotics. Based on two AHFE 2020 Virtual Conferences such as the AHFE 2020 Virtual Conference on Human Factors and Simulation and the AHFE 2020 Virtual Conference on Digital Human Modeling and Applied Optimization, held on July 16–20, 2020, the book serves as a timely reference guide for researchers and practitioners developing new modeling and simulation tools for analyzing or improving human performance. It also offers a unique resource for modelers seeking insights into human factors research and more feasible and reliable computational tools to foster advances in this exciting field.
Download or read book Bio inspired computation and its applications written by Tinggui Chen and published by Frontiers Media SA. This book was released on 2023-07-06 with total page 939 pages. Available in PDF, EPUB and Kindle. Book excerpt:
