Imagined Object Recognition Using EEG-Based Neurological Brain Signals-Reference-Cited by-同舟云学术

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Imagined Object Recognition Using EEG-Based Neurological Brain Signals

Published:2022 Issue: Volume: Page:305-319
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Saini Rajkumar,Prabhu Sameer,Upadhyay Richa,Rakesh Sumit,Chippa Prakash Chandra,Mokayed Hamam,Liwicki Marcus,Liwicki Foteini

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-07005-1_26

Reference31 articles.

1. Al-Qazzaz, N.K., Hamid Bin Mohd Ali, S., Ahmad, S.A., Islam, M.S., Escudero, J.: Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task. Sensors 15(11), 29015–29035 (2015). https://doi.org/10.3390/s151129015

2. Amin, H.U., Mumtaz, W., Subhani, A., Mohamad Saad, M.N., Malik, A.: Classification of EEG signals based on pattern recognition approach. Front. Comput. Neurosci. 11, 103 (2017). https://doi.org/10.3389/fncom.2017.00103

3. Ang, K.K., Guan, C.: EEG-based strategies to detect motor imagery for control and rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 25(4), 392–401 (2016)

4. Bang, J., Jeong, J.H., Won, D.O.: Classification of visual perception and imagery based EEG signals using convolutional neural networks. In: 2021 9th International Winter Conference on Brain-Computer Interface (BCI), pp. 1–6 (2021)

5. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

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