A multiclassifier system with dynamic ensemble selection applied to the recognition of EMG signals for the control of bio-prosthetic hand
The paper presents a concept of hand movements recognition on the basis of EMG signal analysis. Signal features are represented by coefficient of autoregressive (AR) model, and as classifier the original multiclassifier systems with dynamic ensemble selection are applied. The performance of the prop...
| Main Authors: | Kurzynski, M., Woloszynski, Tomasz, Wolczowski, A. |
|---|---|
| Format: | Conference Paper |
| Published: |
2010
|
| Online Access: | http://hdl.handle.net/20.500.11937/28489 |
Similar Items
Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand
by: Kurzynski, M., et al.
Published: (2009)
by: Kurzynski, M., et al.
Published: (2009)
On a new measure of classifier competence applied to the design of multiclassifier systems
by: Woloszynski, Tomasz, et al.
Published: (2009)
by: Woloszynski, Tomasz, et al.
Published: (2009)
A probabilistic model of classifier competence for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2011)
by: Woloszynski, Tomasz, et al.
Published: (2011)
A measure of competence based on randomized reference classifier for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2010)
by: Woloszynski, Tomasz, et al.
Published: (2010)
On two measures of classifier competence for dynamic ensemble selection - Experimental comparative analysis
by: Kurzynski, M., et al.
Published: (2010)
by: Kurzynski, M., et al.
Published: (2010)
Probabilistic approach to the dynamic ensemble selection using measures of competence and diversity of base classifiers
by: Lysiak, R., et al.
Published: (2011)
by: Lysiak, R., et al.
Published: (2011)
A measure of competence based on random classification for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2012)
by: Woloszynski, Tomasz, et al.
Published: (2012)
Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers
by: Lysiak, R., et al.
Published: (2014)
by: Lysiak, R., et al.
Published: (2014)
Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
by: Ahsan, Md. Rezwanul, et al.
Published: (2011)
by: Ahsan, Md. Rezwanul, et al.
Published: (2011)
Gripping motion of artificial hand using EMG signal
by: Mat Rosly, Muhammad Hadi, et al.
Published: (2016)
by: Mat Rosly, Muhammad Hadi, et al.
Published: (2016)
Simple and computationally efficient movement classification approach for EMG-controlled prosthetic hand: ANFIS vs. artificial neural network
by: Fariman, Hessam Jahani, et al.
Published: (2015)
by: Fariman, Hessam Jahani, et al.
Published: (2015)
Combining classifiers in a tree structure
by: Woloszynski, Tomasz, et al.
Published: (2008)
by: Woloszynski, Tomasz, et al.
Published: (2008)
Mapping of EMG signal to hand grip force at varying wrist angles
by: Sidek, Shahrul Na'im, et al.
Published: (2012)
by: Sidek, Shahrul Na'im, et al.
Published: (2012)
Neural network classifier for hand motion detection from EMG signal
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2011)
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2011)
Electromyography (EMG)-based thump-tip
force estimation for prosthetic thumb
by: Jalaludin, Nor Anija, et al.
Published: (2012)
by: Jalaludin, Nor Anija, et al.
Published: (2012)
Flexible bio-signals channels acquisition system for ECG and EMG application
by: Jamaluddin, Nurul Fauzani, et al.
Published: (2014)
by: Jamaluddin, Nurul Fauzani, et al.
Published: (2014)
The positional parameter of EMG for transtibial prosthetic users / Khaled Nedal Mahmoud Sobh
by: Khaled Nedal, Mahmoud Sobh
Published: (2018)
by: Khaled Nedal, Mahmoud Sobh
Published: (2018)
Dynamic modelling of hand grasping and wrist exoskeleton: an EMG-based approach
by: Karis, Mohd Safirin, et al.
Published: (2023)
by: Karis, Mohd Safirin, et al.
Published: (2023)
Measurement system to study the relationship between forearm EMG signals and hand grip force
by: Sidek, Shahrul Naim, et al.
Published: (2012)
by: Sidek, Shahrul Naim, et al.
Published: (2012)
Development of vibrotactile sensory feedback for prosthetic hand user
by: Mohamad Hanif, Noor Hazrin Hany, et al.
Published: (2014)
by: Mohamad Hanif, Noor Hazrin Hany, et al.
Published: (2014)
UPM prosthetic hand system design - preliminary results
by: Mohd Zaini, Mohd Hanif, et al.
Published: (2011)
by: Mohd Zaini, Mohd Hanif, et al.
Published: (2011)
Design and performance analysis of artificial neural network for hand motion detection from EMG signals
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013)
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013)
Surgical and non-surgical prosthetic hands control: a review
by: Mohd Zaini, Mohd Hanif, et al.
Published: (2011)
by: Mohd Zaini, Mohd Hanif, et al.
Published: (2011)
Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
by: Ahsan, Md. Rezwanul, et al.
Published: (2011)
by: Ahsan, Md. Rezwanul, et al.
Published: (2011)
Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013)
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013)
Hand and elbow gesture recognition based on electromyography signal
by: Abdulhafidh Al-Dubai, Ala Abobakr
Published: (2019)
by: Abdulhafidh Al-Dubai, Ala Abobakr
Published: (2019)
3D printed prosthetic hand with grasping and slippage detection for children
by: Devin, Babu
Published: (2024)
by: Devin, Babu
Published: (2024)
Development and evaluation of a spot sensor glove for the tactile prosthetic hand
by: Nemah, Mohammed Najeh, et al.
Published: (2018)
by: Nemah, Mohammed Najeh, et al.
Published: (2018)
Signal processing of EMG signal for continuous thumbangle
estimation
by: Siddiqi, Abdul Rahman, et al.
Published: (2016)
by: Siddiqi, Abdul Rahman, et al.
Published: (2016)
A dissimilarity-based multiple classifier system for trabecular bone texture in detection and prediction of progression of knee osteoarthritis
by: Woloszynski, Tomasz, et al.
Published: (2012)
by: Woloszynski, Tomasz, et al.
Published: (2012)
A signature dissimilarity measure for trabecular bone texture in knee radiographs
by: Woloszynski, Tomasz, et al.
Published: (2010)
by: Woloszynski, Tomasz, et al.
Published: (2010)
Detection and prediction of osteoarthritis in knee and hand joints based on the X-ray image analysis
by: Stachowiak, Gwidon, et al.
Published: (2016)
by: Stachowiak, Gwidon, et al.
Published: (2016)
Signal processing of EMG signal for continuous thumb-angle estimation
by: Siddiqi, Abdul Rahman, et al.
Published: (2015)
by: Siddiqi, Abdul Rahman, et al.
Published: (2015)
A brain-computer interface to control a prosthetic hand / Yong Xin Yi
by: Yong, Xin Yi
Published: (2005)
by: Yong, Xin Yi
Published: (2005)
A distributed fuzzy logic controller for a prosthetic hand / Mohd Yazed Ahmad
by: Mohd Yazed, Ahmad
Published: (2006)
by: Mohd Yazed, Ahmad
Published: (2006)
Preliminary findings on EEG controlled prosthetic hand for stroke patients based on motor control
by: Ab Aziz, Ab Wafi, et al.
Published: (2022)
by: Ab Aziz, Ab Wafi, et al.
Published: (2022)
Surface Electromyography (sEMG)-based thumb-tip angle and force estimation using artificial neural network for prosthetic thumb
by: Sidek, Shahrul Na'im, et al.
Published: (2012)
by: Sidek, Shahrul Na'im, et al.
Published: (2012)
Wavelet based noise removal from EMG signals
by: Hussain, M. S., et al.
Published: (2007)
by: Hussain, M. S., et al.
Published: (2007)
Optimization of neural network for efficient EMG signal classification
by: Ahsan, Md. Rezwanul, et al.
Published: (2012)
by: Ahsan, Md. Rezwanul, et al.
Published: (2012)
Wavelet based noise removal from EMG signals
by: Chowdhury, Md. Sazzad Hossien, et al.
Published: (2007)
by: Chowdhury, Md. Sazzad Hossien, et al.
Published: (2007)
Similar Items
-
Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand
by: Kurzynski, M., et al.
Published: (2009) -
On a new measure of classifier competence applied to the design of multiclassifier systems
by: Woloszynski, Tomasz, et al.
Published: (2009) -
A probabilistic model of classifier competence for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2011) -
A measure of competence based on randomized reference classifier for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2010) -
On two measures of classifier competence for dynamic ensemble selection - Experimental comparative analysis
by: Kurzynski, M., et al.
Published: (2010)