Identification and Decoding of EMG Signal Using SVM Classifier - Softcover

Islam, Md. Johirul; Islam, Md. Rezaul; Mostaque, Shaikh Khaled

Softcover

ISBN 10: 3659671142 ISBN 13: 9783659671142

Verlag: LAP LAMBERT Academic Publishing, 2015

Inhaltsangabe

The electromyography (EMG) signal is a bioelectrical signal, generated in muscles during voluntary or involuntary muscle activities. The muscle activities such as contraction or relaxation are always controlled by the nervous system. A fundamental component of many modern prostheses is the myoelectric control system, which uses the Electromyogram (EMG) signals from an individual’s muscles to control the prosthesis movements.The main contribution of this paper is an investigation into accurately discriminating between individual and combined fingers movements using surface EMG signals, so that different finger postures of a prosthetic hand can be controlled in response. For this purpose, two EMG electrodes located on the human forearm are utilized to collect the EMG datafrom ten participants. Various feature sets are extracted by the sum of absolute value for each window and projected in a manner that ensures maximum separation between the finger movements and then fed to SVM classifiers. In this work 71.11% and 62.22% accuracy are achieved for five and ten classes of finger movements respectively.

Über diesen Titel

Über die Autorin bzw. den Autor

Md. Johirul IslamLecturerVarendra University, BangladeshI have completed my B.Sc(Hons)and M.Sc from Rajshahi University in Applied Physics and Electronic Engineering department.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2015
• Sprache: Englisch
• ISBN 10: 3659671142
• ISBN 13: 9783659671142
• Einband: Taschenbuch
• Anzahl der Seiten: 132
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Saarbrücker Vlg. f. Rechtswissensch.; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland