Deciphering Emotional Responses to Music: A Fusion of Psychophysiological Data Analysis and LSTM Predictive Modeling

Author:

Mahat MaheepORCID,Gracanin DenisORCID

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Bortz, B., Jaimovich, J., Knapp, R.B.: Emotion in motion: a reimagined framework for biomusical/emotional interaction. In: Proceedings of the International Conference on New Interfaces for Musical Expression (NIME 2015), pp. 44–49 (2015)

2. Tasooji, R., Gracanin, D., Knapp, R.B.: Exploring the impact of labeling on psychophysiological data analysis. In: Proceedings of the EmotionAware 2022 Workshop, the 20th International Conference on Pervasive Computing and Communications (PerCom 2022), pp. 371–376 (2022)

3. Boucsein, W.: Electrodermal activity. In: Springer Science & Business Media, New York (2012). https://doi.org/10.1007/978-1-4614-1126-0

4. Figner, B., Murphy, R.O.: Using skin conductance in judgment and decision making research. In: A Handbook of Process Tracing Methods for Decision Research, pp. 163–184 (2011)

5. Tobin, M.J.: Principles and Practice of Intensive Care Monitoring. McGraw-Hill (1990)

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