Fuzzy logic for walking patterns based on surface electromyography signals with different membership functions

• Main Authors: Nazmi, N., Shin-Ichiroh, Y., Rahman, M. A. A., Ahmad, S. A., Adiputra, D., Zamzuri, H., Mazlan, S. A.
• Format: Conference or Workshop Item
• Published: International Workshop on Computer Science and Engineering (WCSE) 2016
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/73656/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982822107&partnerID=40&md5=a0c079e4053da5cb143bc13ecad6e11f

Classifying walking patterns is important in developing assistive robotic devices, especially for lower limb rehabilitation. Recently, Fuzzy Logic (FL) controllers have successfully been applied in grasping and control system for upper limb based on surface Electromyography (EMG) signals. Therefore,...