Embedded System for Hand Gesture Recognition Using EMG Signals: Effect of Size in the Analysis Windows-Reference-Cited by-同舟云学术

Embedded System for Hand Gesture Recognition Using EMG Signals: Effect of Size in the Analysis Windows

Published:2019-10-24 Issue: Volume: Page:214-225
ISSN:2194-5357
Container-title:Advances and Applications in Computer Science, Electronics and Industrial Engineering
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Author:

Mantilla-Brito Juan^ORCID,Pozo-Espín David^ORCID,Solórzano Santiago^ORCID,Morales Luis^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33614-1_15

Reference24 articles.

1. Shroffe, E.H., Manimegalai, P.: Hand gesture recognition based on EMG signals using ANN. In: International Conference on Consumer Electronics, ICCE, Berlin, vol. 2013, no. 3, pp. 174–178. IEEE, Berlin, April, 2013

2. Morales, L., Pozo, D.: An experimental comparative analysis among different classifiers applied to identify hand movements based on sEMG. In: 2nd Ecuador Technical Chapters Meeting 2017, ETCM, vol. 2017, pp. 1–6, IEEE, Ecuador, January 2018

3. Mishra, V.K., Bajaj, V., Kumar, A., Sharma, D., Singh, G.K.: An efficient method for analysis of EMG signals using improved empirical mode decomposition. AEU - Int. J. Electron. Commun., 200–209 (2017)

4. Gruebler, A., Suzuki, K.: Design of a wearable device for reading positive expressions from facial EMG signals. Trans. Affect. Comput. 5(3), 227–237 (2014)

5. Tsipouras, M.G.: Uterine EMG signals spectral analysis for pre-term birth prediction 8(5), 3310–3315 (2018)

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