Development of hand gesture classification system based on electromyography signals
The paper presents the results of research of electromyography signals and their application to control prostheses. There are compiled upper limb prostheses classification scheme. Signals are determined with the potential to identify them in various patterns responsible for the hand gestures....
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| Format: | Article |
| Language: | English |
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Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2021-06-01
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| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%E2%84%96%203%20(177)%20(%D0%9E%D0%9D%D0%92)/79-84%20%D0%9A%D0%B0%D0%B1%D0%B0%D0%BD%D0%BE%D0%B2%20%D0%90.%20%D0%90..pdf |
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| _version_ | 1832574022534037504 |
|---|---|
| author | A. A. Kabanov |
| author_facet | A. A. Kabanov |
| author_sort | A. A. Kabanov |
| collection | DOAJ |
| description | The paper presents the results of research of
electromyography signals and their application to control prostheses. There are compiled upper limb prostheses
classification scheme. Signals are determined with the
potential to identify them in various patterns responsible
for the hand gestures.
A program for processing signals has been developed to
obtain the resulting patterns of hand movements in the
LabView software environment. The main result of the
program is the identification of possible gestures and the
development of an appropriate response to control the
prosthesis. |
| format | Article |
| id | doaj-art-2db6f5c505a143b29cb3800b24237448 |
| institution | Kabale University |
| issn | 1813-8225 2541-7541 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education |
| record_format | Article |
| series | Омский научный вестник |
| spelling | doaj-art-2db6f5c505a143b29cb3800b242374482025-02-02T01:11:58ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412021-06-013 (177)798410.25206/1813-8225-2021-177-79-84Development of hand gesture classification system based on electromyography signalsA. A. Kabanov0https://orcid.org/0000-0002-0481-4998Omsk State Technical UniversityThe paper presents the results of research of electromyography signals and their application to control prostheses. There are compiled upper limb prostheses classification scheme. Signals are determined with the potential to identify them in various patterns responsible for the hand gestures. A program for processing signals has been developed to obtain the resulting patterns of hand movements in the LabView software environment. The main result of the program is the identification of possible gestures and the development of an appropriate response to control the prosthesis.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%E2%84%96%203%20(177)%20(%D0%9E%D0%9D%D0%92)/79-84%20%D0%9A%D0%B0%D0%B1%D0%B0%D0%BD%D0%BE%D0%B2%20%D0%90.%20%D0%90..pdfеlectromyographywavelet transformdigital signal processingupper limb prosthesisbioimpedancehand gesture classification |
| spellingShingle | A. A. Kabanov Development of hand gesture classification system based on electromyography signals Омский научный вестник еlectromyography wavelet transform digital signal processing upper limb prosthesis bioimpedance hand gesture classification |
| title | Development of hand gesture classification system based on electromyography signals |
| title_full | Development of hand gesture classification system based on electromyography signals |
| title_fullStr | Development of hand gesture classification system based on electromyography signals |
| title_full_unstemmed | Development of hand gesture classification system based on electromyography signals |
| title_short | Development of hand gesture classification system based on electromyography signals |
| title_sort | development of hand gesture classification system based on electromyography signals |
| topic | еlectromyography wavelet transform digital signal processing upper limb prosthesis bioimpedance hand gesture classification |
| url | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%E2%84%96%203%20(177)%20(%D0%9E%D0%9D%D0%92)/79-84%20%D0%9A%D0%B0%D0%B1%D0%B0%D0%BD%D0%BE%D0%B2%20%D0%90.%20%D0%90..pdf |
| work_keys_str_mv | AT aakabanov developmentofhandgestureclassificationsystembasedonelectromyographysignals |