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Now showing items 11-20 of 23
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 ...
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, ...
A Novel Upper Limb Rehabilitation System with Self-Driven Virtual Arm Illusion
(2017-10-11)
This paper proposes a novel upper extremity
rehabilitation system with virtual arm illusion. It aims for fast
recovery from lost functions of the upper limb as a result of
stroke to provide a novel rehabilitation system ...
COMPACT FUZZY Q LEARNING FOR AUTONOMOUS MOBILE ROBOT NAVIGATION
(2017-10-11)
Robot which does complex task needs learning capability.
Q learning is popular reinforcement learning method
because it has off-line policy characteristic and simple
algorithm. But it only suitable in discrete state ...
EMBEDDED LEARNING ROBOT USING FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR
(2017-10-11)
Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Qlearning
holding
continuous
action
and
state.
This
learning
has
been
implemented
in
various
robot
learning
...
Finger Movement Regression with Myoelectric Signal and Deep Neural Network
(Proceeding ICOMITEE 2019, October 16th-17th 2019, Jember, Indonesia, 2019-10-16)
Research on electromyographic (EMG) signals is
intensively carried out to help disabled people to control
prosthetic hands. Neural Networks have been widely used in
research on the classification of finger movements ...
Hierarchical Algorithm for the Identification of Parameter Estimation of Linear System
(2019-05-24)
A novel technique to identification of autoregressive
moving average (ARMA)systems is proposed to increase the
accuracy and speed of convergence for the system identification.
The convergence speed of recursive least ...