Bio-Inspired Techniques in Rehabilitation Engineering for Control of Assistive Devices

Author:

Purushothaman Geethanjali1

Affiliation:

1. VIT University, India

Abstract

The intelligent control of assistive devices is possible from bio-signals or gestures to find the user's intention. The goal of the user intention recognition system is to develop computational methods for decoding the acquired bio-signal data. One of the methods of accomplishing the objective will be using the pattern recognition system. The study of higher level control of assistive device using various data processing techniques with bio-inspired techniques is in progress. The knowledge of bio-inspired computation is essential for the neophytes to develop algorithms for identification of intention from bioelectric signals. Most literatures, demonstrates the application using signals and not much definite study describes the various bio-inspiring computation involved to develop the control of assistive devices in real-time. Therefore, this chapter presents a brief survey of the various bio-inspiring techniques used in interfacing devices for identification of information from the user intends.

Publisher

IGI Global

Reference39 articles.

1. Barrero, V., Grisales, E. V., Rosas, F., Sanchez, C., & Leon, J. (2001). Design and implementation of an intelligent interface for myoelectric controlled prosthesis. In Proceedings of the 23rd Annual International Conference of the IEEE. Istanbul, Turkey: IEEE.

2. A study of back-propagation and radial basis neural network on EMG signal classification. In Proceedings of Mechatronics and its Applications, 2009. ISMA '09.;Y. L.Chong;6th International Symposium,2009

3. Del, B. A., & Park, D. C. (1994). Myoelectric signal recognition using fuzzy clustering and artificial neural networks in real time. In Proceedings of Neural Networks 1994, IEEE World Congress on Computational Intelligence. Orlando, FL: IEEE.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bio-Inspired Communication Strategies in Swarm Robotics;Advances in Computational Intelligence and Robotics;2024-02-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3