Investigation of Human Brain Waves (EEG) to Recognize Familiar and Unfamiliar Objects Based on Power Spectral Density Features-Reference-Cited by-同舟云学术

Investigation of Human Brain Waves (EEG) to Recognize Familiar and Unfamiliar Objects Based on Power Spectral Density Features

Published:2023-07-26 Issue: Volume: Page:
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Container-title:2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)
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Author:

Farizal Ahmad¹,Wibawa Adhi Dharma²,Wulandari Diah Puspito³,Pamungkas Yuri²

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering, Department of Medical Technology,Surabaya,Indonesia

3. Institut Teknologi Sepuluh Nopember,Department of Computer Engineering,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220947/10220436/10221052.pdf?arnumber=10221052

Reference19 articles.

1. Feature Extraction of EEG Signal by Power Spectral Density for Motor Imagery Based BCI

2. Analysis of Familiar and Unfamiliar Images using Power Spectral Estimation for EEG Authentication System;rosli;Journal of Green Engineering (JGE),2021

3. Statistical Analysis of Subject-Specific EEG data during Stroke Rehabilitation Monitoring

4. Power Spectral Density Features for Classifying Action Intention Understanding EEG Signals

5. Familiarity is familiarity is familiarity: Event-related brain potentials reveal qualitatively similar representations of personally familiar and famous faces.

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1. EEG Analysis of Familiar and Unfamiliar Objects Using Wavelet Energy and Shannon Entropy;2024 16th International Conference on Knowledge and Smart Technology (KST);2024-02-28