| 书目名称 | sEMG-based Control Strategy for a Hand Exoskeleton System |
| 编辑 | Nicola Secciani |
| 视频video | |
| 概述 | Nominated as an outstanding thesis by the University of Florence, Italy.Describes an innovative sEMG classifier applied to the control of hand exoskeleton systems.Reports on the design of a low-cost, |
| 丛书名称 | Springer Theses |
| 图书封面 |  |
| 描述 | .This book reports on the design and testing of an sEMG-based control strategy for a fully-wearable low-cost hand exoskeleton. It describes in detail the modifications carried out to the electronics of a previous prototype, covering in turn the implementation of an innovative sEMG classifier for predicting the wearer‘s motor intention and driving the exoskeleton accordingly. While similar classifier have been widely used for motor intention prediction, their application to wearable device control has been neglected so far. Thus, this book fills a gap in the literature providing readers with extensive information and a source of inspiration for the future design and control of medical and assistive devices.. |
| 出版日期 | Book 2022 |
| 关键词 | Motion Control of Hand Exoskeletons; Surface Electromyography in Robotics; Classification of Hand Gest |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-90283-4 |
| isbn_softcover | 978-3-030-90285-8 |
| isbn_ebook | 978-3-030-90283-4Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:32:46
