Real-Time Replication of Arm Movements Using Surface EMG Signals (Record no. 236551)
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| 000 -LEADER | |
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| fixed length control field | 01385nam a2200133Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
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| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | CPEC19-1835 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chaya N A. Bhavana B R. Anoogna S B., Hiranmai M. Niranjana Krupa B. |
| 245 #0 - TITLE STATEMENT | |
| Title | Real-Time Replication of Arm Movements Using Surface EMG Signals |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2019 |
| 510 ## - CITATION/REFERENCES NOTE | |
| Name of source | In this paper, a real time application to replicate nine arm movements is proposed. The two important joints that are controlled are wrist and elbow. Electromyogram signals are recorded for four wrist positions and five elbow positions. These signals are enhanced and features pertaining to muscle movements are extracted. Dimension of these feature sets is reduced to obtain the optimal set of features. These feature sets are given as input to the classifier. Performance evaluation of Support Vector Machine (SVM), K-Nearest Neighbors, Random Forest and Relevant Vector Machine (RVM) classifiers, in recognizing different wrist and elbow positions, is discussed. As per the results, the best overall accuracy of 93.3% was obtained from SVM with radial basis function (RBF) kernel, in classifying both the wrist and elbow positions. Although, RVM as a classifier yielded the same accuracy in recognizing wrist positions, it resulted in the lowest accuracy of 88.67% in recognizing elbow positions. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Institutional repository |
| Date last seen | Total checkouts | Full call number | Accession number | Uniform resource identifier | Price effective from | Category | Lost status | Damaged status | Department | Withdrawn status | Home library | Current library | Shelving location | Entry date | Grants | Currency symbol | Conversion rate | Discount |
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| 26/01/2024 | CPEC19-1835 | IR1835 | https://www.sciencedirect.com/science/article/pii/S1877050919307975 | 26/01/2024 | Institutional repository | Central Library | Central Library | Central Library | Central Library | EC | RS | 1 |