Fuzzy System Design of Myoelectric Prosthetic Hand Using PVDF Sensor and Touch Feedback
Abstract:This paper presents a method to classify surface myoelectric(SMES) signals which are utilized as control signals for a patient-responsive prosthetic hand system for paraplegics. This technique is based on two-channel and short period's real recordings from normal subjects' forearm muscle. Patterns of MES signals for different hand movements are classified via Wavelet Transform and a modified Least Squares Support Vector Machine (LS-SVM). Least Squares Support Vector Machine algorithm is utilized to implement the motion pattern recognition of surface MES. Machine learning can be effectively used to control on-line of a highly dexterous robotic hand in real time. A fuzzy controller is designed specially to control the adjustment of myoelectric prosthetic hand's movement, which can make the system of myoelectric prosthetic hand grasp object stably with a high degree of accuracy. The experimental results indicate that above method has high discrimination rate and good robust and represent a remarkable improvement with dexterous mechanical hands. We will be able to get a great potential in the area of bionic man–machine system such as control powered hand prostheses in a much finer way using SMES signal.
Document Type: Research Article
Publication date: October 1, 2011
More about this publication?
- The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Terms & Conditions
- ingentaconnect is not responsible for the content or availability of external websites