Journal SINTA 1
Feature Extraction Evaluation of Various Machine Learning Methods for Finger Movement Classification using Double Myo Armband
Journal of Engineering and Technological Sciences · Vol. 55 No. 5 (2023) · pp. 587–599
- ISSN
- 2338-5502, 2337-5779
- Published
- 2023-12-29
- Publisher
- Directorate for Research and Community Services, Institut Teknologi Bandung
- Language
- eng
Abstract
The deployment of electromyography (EMG) signals attracts many researchers since it can be used in decoding finger movements for exoskeleton robotics, prosthetics hand, and powered wheelchair. However, decoding any movement is a challenging task. The success of EMG signals' use lies in the appropriate choice of feature extraction and classification model, especially in the feature extraction process. Therefore, this study evaluates an eight-feature extraction evaluation on various machine learnings such as the Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Decision Tree (DT), Naïve Bayes (NB), and Quadratic Discriminant Analysis (QDA). The dataset from four intact subjects is used to classify twelve finger movements. Through 5 cross-validations, the result shows that almost all feature extractions combined with SVM outperform other combinations of features and classifiers. Mean Absolute Value (MAV) as a feature and SVM as a classifier highlight the best combination with an accuracy of 94.01%.
Keywords
Collaboration network of the authors
40 authors · 165 co-authorship links · 3 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Jember
- University of Technology Sydney
- Sebelas Maret University
- State University of Semarang
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Popi Hadi Wisnuwardhani | Affiliation unknown | 2 |
| Adel Ali Al-Jumaily | University of Technology Sydney | 1 |
| M Alvien Ghifari | Affiliation unknown | 1 |
| Enny Fachriyah | Affiliation unknown | 1 |
| Dian Nopitasari | Affiliation unknown | 1 |
| Kautsar Elvira | Affiliation unknown | 1 |
| Rama Esa Perdana | Affiliation unknown | 1 |
| Abdul Aziz | Sebelas Maret University | 1 |
| Novriadi Novriadi | Affiliation unknown | 1 |
| Parmin Parmin | State University of Semarang | 1 |
| Siti Harnina Bintari | Affiliation unknown | 1 |
| Adi Santoso | Affiliation unknown | 1 |
| Endah Puji Septisetyani | Affiliation unknown | 1 |
| Ratna Dwi Ramadani | Affiliation unknown | 1 |
| Yana Rubiyana | Affiliation unknown | 1 |
| Pekik Wiji Prasetyaningrum | Affiliation unknown | 1 |
| Ratih Asmana Ningrum | Affiliation unknown | 1 |
| Komang Alit Paramitasari | Affiliation unknown | 1 |
| Ahmad Suyoko | Affiliation unknown | 1 |
| Alayna Lillahida Indri Himawan | Affiliation unknown | 1 |
| Salsabila Azzahra | Affiliation unknown | 1 |
| Neng Herawati | Affiliation unknown | 1 |
| Dheny Dwi Ardhiansyah | Affiliation unknown | 1 |
| Muchamad Arif Hana Sasono | Affiliation unknown | 1 |
| Arizal Mujibtamala Nanda Imron | Affiliation unknown | 1 |
| Naufal Ainur Rizal | Affiliation unknown | 1 |
| Mochamad Edoward Ramadhan | Affiliation unknown | 1 |
| Obie Farobie | Affiliation unknown | 1 |
| Delicia Yunita Rahman | Affiliation unknown | 1 |
| Fendy Fendy | Affiliation unknown | 1 |
| Nur Faiizah Aqiilah Firman | Affiliation unknown | 1 |
| Naswandi Nur | Affiliation unknown | 1 |
| Eri Sahabudin | Affiliation unknown | 1 |
| Syaefudin Suminto | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.