Browsing LECTURER SCIENTIFIC PUBLICATION (Publikasi Ilmiah) by Author "Al-Jumaily, Adel"
Now showing items 1-18 of 18
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Adaptive Myoelectric Pattern Recognition for Arm Movement in Different Positions using Advanced Online Sequential Extreme Learning Machine
Anam, Khairul; Al-Jumaily, Adel (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 ... -
Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography
Anam, Khairul; Al-Jumaily, Adel (2018-04-04)This paper proposes a new structure of wavelet extreme learning machine i.e. an adaptive wavelet extreme learning machine (AW-ELM) for finger motion recognition using only two EMG channels. The adaptation ... -
AW-ELM-based Crouch Gait Recognition after ischemic stroke
Adil, Sahar; Al-Jumaily, Adel; Anam, Khairul (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 ... -
Comparison of EEG Pattern Recognition of Motor Imagery for Finger Movement Classification
Anam, Khairul; Nuh, Mohammad; Al-Jumaily, Adel (Institute of Advanced Engineering and Science (IAES), 2019, 2019-09-18)The detection of a hand movement beforehand can be a beneficent tool to control a prosthetic hand for upper extremity rehabilitation. To be able to achieve smooth control, the intention detection is acquired from the ... -
Continuous Prediction of Shoulder Joint Angle in Real-Time
Aung, Yee Mon; Anam, Khairul; Al-Jumaily, Adel (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 ... -
Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees
Anam, Khairul; Al-Jumaily, Adel (2017-10-11)The success of myoelectric pattern recognition (M-PR) mostly relies on the features extracted and classifier employed. This paper proposes and evaluates a fast classifier, extreme learning machine (ELM), to classify ... -
Evaluation of Feature Extraction Techniques and Classifiers for Finger Movement Recognition using Surface Electromyography Signal
Phukpattaranont, Pornchai; Thongpanja, Sirinee; Anam, Khairul; Al-Jumaily, Adel; Limsakul, Chusak (2019-02-12)Electromyography (EMG) in a bio-driven system is used as a control signal, for driving a hand prosthesis or other wearable assistive devices. Processing to get informative drive signals involves three main modules: ... -
Evaluation of Randomized Variable Translation Wavelet Neural Networks
Anam, Khairul; Al-Jumaily, Adel (2018-04-04)A variable translation wavelet neural network (VT-WNN) is a type of wavelet neural network that is able to adapt to the changes in the input. Different learning algorithms have been proposed such as backpropagation ... -
INDEX FINGER MOTION RECOGNITION USING SELF-ADVISE SUPPORT VECTOR MACHINE
Anam, Khairul; Al-Jumaily, Adel; Maali, Yashar (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 ... -
Myoelectric control systems for hand rehabilitation device: a review
Anam, Khairul; Rosyadi, Ahmad Adib; Sujanarko, Bambang; Al-Jumaily, Adel (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. ... -
A novel extreme learning machine for dimensionality reduction on finger movement classification using sEMG
Anam, Khairul; Al-Jumaily, Adel (2016-06-06)Projecting a high dimensional feature into a lowdimensional feature without compromising the feature characteristic is a challenging task. This paper proposes a novel dimensionality reduction constituted from the ... -
A Novel Upper Limb Rehabilitation System with Self-Driven Virtual Arm Illusion
Aung, Yee Mon; Al-Jumaily, Adel; Anam, Khairul (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 ... -
Optimized Kernel Extreme Learning Machine for Myoelectric Pattern Recognition
Anam, Khairul; Al-Jumaily, Adel (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. ... -
Real-time Classification of Finger Movements using Two-channel Surface Electromyography
Anam, Khairul; Al-Jumaily, Adel (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 ... -
A robust myoelectric pattern recognition using online sequential extreme learning machine for finger movement classification
Anam, Khairul; Al-Jumaily, Adel (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 ... -
Swarm-based Extreme Learning Machine for Finger Movement Recognition
Anam, Khairul; Al-Jumaily, Adel (2016-06-06)An accurate finger movement recognition is required in many robotics prosthetics and assistive hand devices. The use of a small number of Electromyography (EMG) channels for classifying the finger movement is a challenging ... -
Swarm-wavelet based Extreme Learning Machine for Finger Movement Classification on Transradial Amputees
Anam, Khairul; Al-Jumaily, Adel (2016-06-06)The use of a small number of surface electromyography (EMG) channels on the transradial amputee in a myoelectric controller is a big challenge. This paper proposes a pattern recognition system using an extreme learning ... -
Two-Channel Surface Electromyography for Individual and Combined Finger Movements
Anam, Khairul; Khushaba, Rami N; Al-Jumaily, Adel (2016-06-06)This paper proposes the pattern recognition system for individual and combined finger movements by using two channel electromyography (EMG) signals. The proposed system employs Spectral Regression Discriminant ...