Fuzzy logic for walking patterns based on surface electromyography signals with different membership functions
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,...
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: |
Similar Items
-
Walking gait event detection based on electromyography signals using artificial neural network
by: Nazmi, Nurhazimah, et al.
Published: (2019) -
Walking gait event detection based on electromyography signals using artificial neural network
by: Nazmi, Nurhazimah, et al.
Published: (2019) -
Development of controller for Passive Control Ankle Foot Orthoses (PICAFO) based on Electromyography (EMG) signal and angle
by: Adiputra, D., et al.
Published: (2016) -
Fuzzy logic control for ankle foot orthoses equipped with magnetorheological brake
by: Adiputra, D., et al.
Published: (2016) -
Fuzzy logic based on Belief and Disbelief membership functions
by: Poli Venkata Subba Reddy
Published: (2017-12-01)