Author:
Garg Divya,Verma Gyanendra Kumar,Singh Awadhesh Kumar
Publisher
Springer Nature Singapore
Reference14 articles.
1. Alarcao, S.M., Fonseca, M.J.: Emotions recognition using EEG signals: a survey. IEEE Trans. Affect. Comput. 10(3), 374–393 (2017)
2. Garg, D., Verma, G.K., Singh, A.K.: A review of deep learning based methods for affect analysis using physiological signals. Multimedia Tools Appl. 1–46 (2023)
3. Koelstra, S., Muhl, C., Soleymani, M., Lee, J.S., Yazdani, A., Ebrahimi, T., Pun, T., Nijholt, A., Patras, I.: DEAP: a database for emotion analysis; using physiological signals. IEEE Trans. Affect. Comput. 3(1), 18–31 (2011)
4. Kübler, A., Furdea, A., Halder, S., Hammer, E.M., Nijboer, F., Kotchoubey, B.: A brain-computer interface controlled auditory event-related potential (p300) spelling system for locked-in patients. Ann. N. Y. Acad. Sci. 1157(1), 90–100 (2009)
5. Wang, D., Shang, Y.: Modeling physiological data with deep belief networks. Int. J. Inf. Educ. Technol. (IJIET) 3(5), 505 (2013)