Wavelet-based emotion recognition system using EEG signal

By Zeynab Mohammadi, Javad Frounchi, Mahmood Amiri. Neural computing & applications (Print), 2017

344 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/35a5d0d02b4e0d6e806ce36691466b6885853a07

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Bin Hu
2. Manuel José Fonseca
3. Prayag Tiwari
4. Yazhou Zhang
5. Meihong Yang
6. Xiang Li
7. Zhigang Zhao
8. Pekka Marttinen

In Experimental and Cognitive Psychology

1. Bin Hu
2. Manuel José Fonseca
3. Prayag Tiwari
4. Yazhou Zhang
5. Meihong Yang
6. Xiang Li
7. Zhigang Zhao
8. Pekka Marttinen

In Signal Processing

1. Manuel José Fonseca
2. Soraia M. Alarcão

Citations in the corpus

• EEG Based Emotion Recognition: A Tutorial and Review (2022, methodology): “, discriminant analysis [101], support vector machine [70], K-nearest neighbor [78], Bayesian method [122], Random forest [123], perceptron [124], etc, as well as unsupervised learning methods such as manifold learning [74], clustering [125], and so on.”
• Emotions Recognition Using EEG Signals: A Survey (2019, methodology): “[116] Biosemi Active Two (512 Hz) F3-F4, F7-F8, FC1-FC2, FC5-FC6, FP1-FP2 (5)”