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EEG-Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model
In this paper, a deep long short term memory (DeepLSTM) network to classify personality traits using the electroencephalogram (EEG) signals is implemented. For this research, the Myers–Briggs Type Indicator (MBTI) model for predicting personality is used. There are four groups in MBTI, and each grou...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481053/ https://www.ncbi.nlm.nih.gov/pubmed/34603433 http://dx.doi.org/10.1155/2021/6524858 |