sEMG based Classification of Hand Gestures using EMD Algorithm and its Application on Control System
Rahul Bhadra Bajracharya1, Sujan Bhusal2, S. Jagadeesan3
1Rahul Bhadra Bajracharya, SRM Institute Of Science and Technology, Chennai, Tamil Nadu, India.
2Sujan Bhusal, SRM Institute Of Science and Technology, Chennai, Tamil Nadu, India.
3S. Jagadeesan, SRM Institute Of Science and Technology, Chennai, Tamil Nadu, India.
Manuscript received on 15 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 11 October 2019 | PP: 1103-1105 | Volume-8 Issue-11S September 2019 | Retrieval Number: K122409811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1224.09811S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Single sensor is employed for classifying four hand gestures from flexor carpum ulnaris. The first three IMFs that are obtained as a result of Empirical Mode Decomposition are taken into consideration. Time domain features like mean, variance, skewness, etc are taken for each IMFs. Support Vector Machine was used for classification task and the extracted model is used for making predictions
Keywords: Classification, Application, IMFs, ontrol System
Scope of the Article: Classification