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Myoelectric control systems for hand rehabilitation device: a review
(2018-04-04)
One of the challenges of the hand rehabilitation
device is to create a smooth interaction between the device and
user. The smooth interaction can be achieved by considering
myoelectric signal generated by human's muscle. ...
AW-ELM-based Crouch Gait Recognition after ischemic stroke
(2018-04-04)
Crouch Gait (CG) can be observed in the
hemiplegia persons after ischemic stroke. Walking with Crouch
Gait (CG) shown a large gaits disorder. This paper explores the
use of adaptive wavelet extreme learning machine ...
Optimized Kernel Extreme Learning Machine for Myoelectric Pattern Recognition
(2018-04-04)
Myoelectric pattern recognition (MPR) is used to detect user’s intention to
achieve a smooth interaction between human and machine. The performance
of MPR is influenced by the features extracted and the classifier employed. ...
A robust myoelectric pattern recognition using online sequential extreme learning machine for finger movement classification
(2017-08-29)
A robust myoelectric pattern-recognition-system requires a system that should work in the real application as good as in the laboratory. However, this demand should be handled properly and rigorously to achieve a robust ...
Continuous Prediction of Shoulder Joint Angle in Real-Time
(2017-10-11)
Continuous prediction of dynamic joint angle
from surface electromyography (sEMG) signal is one of the
most important applications in rehabilitation area for stroke
survivors as these can directly reflect the user motor ...
INDEX FINGER MOTION RECOGNITION USING SELF-ADVISE SUPPORT VECTOR MACHINE
(2017-10-11)
Because of the functionality of an index finger, the disability of its motion in the
modern age can decrease the person’s quality of life. As a part of rehabilitation therapy, the
recognition of the index finger motion ...
Adaptive Myoelectric Pattern Recognition for Arm Movement in Different Positions using Advanced Online Sequential Extreme Learning Machine
(2017-10-11)
The performance of the myoelectric pattern
recognition system sharply decreases when working in various
limb positions. The issue can be solved by cumbersome training
procedure that can anticipate all possible future ...
Real-time Classification of Finger Movements using Two-channel Surface Electromyography
(2017-10-11)
The use of a small number of Electromyography (EMG) channels for classifying the finger movement is a
challenging task. This paper proposes the recognition system for decoding the individual and combined
finger movements ...
Autonomous Five Legs Robot Navigation in Cluttered Environment using Fuzzy Q-Learning and Hybrid Coordination Node
(2017-10-11)
The research of legged robot was rapidly developed. It can be seen from recent ideas about new systems of robot movement that take ideas from nature, called biology inspired. This research focused on five legs robot that ...
Modified Fuzzy Behavior Coordination for Autonomous Mobile Robot Navigation System
(2017-10-11)
In behavior based robotics, development of behavior coordination method is very important. Fuzzy Behavio
r
Coordination (FBC) can be used here, but it still have weaknesses, because it can result in slow robot movement, ...