Subject independent emotion recognition system for people with facial deformity: an EEG based approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02338-8.pdf
Reference32 articles.
1. Ackermann P, Kohlschein C, Bitsch JÁ, Wehrle K, Jeschke S (2016) EEG-based automatic emotion recognition: feature extraction, selection and classification methods. In: e-Health networking, applications and services (Healthcom), 2016 IEEE 18th international conference on. IEEE, pp 1–6
2. Alarcao SM, Fonseca MJ (2017) Emotions recognition using EEG signals: a survey. IEEE Trans Affect Comput 10(3):374–393
3. Bolós VJ, Benítez R (2014) The wavelet scalogram in the study of time series. In: Advances in differential equations and applications. Springer, Cham, pp 147–154
4. Bradley MM, Lang PJ (1994) Measuring emotion: the self-assessment manikin and the semantic differential. J Behav Ther Exp Psychiatry 25(1):49–59
5. Fazli S, Popescu F, Danóczy M, Blankertz B, Müller KR, Grozea C (2009) Subject-independent mental state classification in single trials. Neural Netw 22(9):1305–1312
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