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ISSN:
1748-670X
eISSN:
1748-6718
Publisher:
Hindawi
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- medical biology (Medical and Health Sciences )
- pharmacology and pharmacy (Medical and Health Sciences )
- medical sciences (Medical and Health Sciences )
- health sciences (Medical and Health Sciences )
- biotechnology (Natural sciences)
- computer and information sciences (Natural sciences)
- mathematics (Natural sciences)
- biological sciences (Natural sciences)
(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2025 | 20 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2025 | 20 | Ministry scored journals list 2024 |
| 2024 | 20 | Ministry scored journals list 2024 |
| 2023 | 20 | Ministry Scored Journals List |
| 2022 | 40 | Ministry Scored Journals List 2019-2022 |
| 2021 | 40 | Ministry Scored Journals List 2019-2022 |
| 2020 | 40 | Ministry Scored Journals List 2019-2022 |
| 2019 | 40 | Ministry Scored Journals List 2019-2022 |
| 2018 | 15 | A |
| 2017 | 15 | A |
| 2016 | 15 | A |
| 2015 | 15 | A |
| 2014 | 15 | A |
| 2013 | 15 | A |
| 2012 | 15 | A |
| 2011 | 15 | A |
| 2010 | 6 | B |
Model:
Open Access
Points CiteScore:
| Year | Points |
|---|---|
| Year 2022 | 2.3 |
| Year | Points |
|---|---|
| 2022 | 2.3 |
| 2021 | 2.8 |
| 2020 | 3.5 |
| 2019 | 3.4 |
| 2018 | 3.1 |
| 2017 | 2.5 |
| 2016 | 2.5 |
| 2015 | 2.3 |
| 2014 | 1.6 |
| 2013 | 1 |
| 2012 | 0.8 |
| 2011 | 1.6 |
Impact Factor:
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Sherpa Romeo:
Papers published in journal
Filters
total: 1
Catalog Journals
Year 2016
-
Basic Hand Gestures Classification Based on Surface Electromyography
PublicationThis paper presents an innovative classification system for hand gestures using 2-channel surface electromyography analysis. The system developed uses the Support Vector Machine classifier, for which the kernel function and parameter optimisation are conducted additionally by the Cuckoo Search swarm algorithm. The system developed is compared with standard Support Vector Machine classifiers with various kernel functions. The average...
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