Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand
The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The multiclassifier systems with fusion/selec...
| Main Authors: | , , |
|---|---|
| Format: | Conference Paper |
| Published: |
2009
|
| Online Access: | http://hdl.handle.net/20.500.11937/45904 |
| _version_ | 1848757413778292736 |
|---|---|
| author | Kurzynski, M. Woloszynski, Tomasz Wolczowski, A. |
| author_facet | Kurzynski, M. Woloszynski, Tomasz Wolczowski, A. |
| author_sort | Kurzynski, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The multiclassifier systems with fusion/selection strategy based on competence function are applied to the recognition of patient's intent. Experimental investigations of the proposed multiclassifiers for real data are performed and results are discussed. Classification results obtained for three simple fusion methods and one multiclassifier system are used for a comparison. ©2009 IEEE. |
| first_indexed | 2025-11-14T09:27:42Z |
| format | Conference Paper |
| id | curtin-20.500.11937-45904 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:27:42Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-459042018-12-14T00:50:57Z Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand Kurzynski, M. Woloszynski, Tomasz Wolczowski, A. The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The multiclassifier systems with fusion/selection strategy based on competence function are applied to the recognition of patient's intent. Experimental investigations of the proposed multiclassifiers for real data are performed and results are discussed. Classification results obtained for three simple fusion methods and one multiclassifier system are used for a comparison. ©2009 IEEE. 2009 Conference Paper http://hdl.handle.net/20.500.11937/45904 10.1109/ITAB.2009.5394318 restricted |
| spellingShingle | Kurzynski, M. Woloszynski, Tomasz Wolczowski, A. Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand |
| title | Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand |
| title_full | Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand |
| title_fullStr | Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand |
| title_full_unstemmed | Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand |
| title_short | Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand |
| title_sort | multiclassifiers with competence function applied to the recognition of emg signals for the control of bio-prosthetic hand |
| url | http://hdl.handle.net/20.500.11937/45904 |