Abstract
Cognitive Neurodynamics is the scientific field that is concerned with the study of biological processes of brain and aspects that underlie cognition. The specific focus of cognition is on neural connections that are involved in the mental process. So the resultant of cognitive states which consists of thoughts, perception, memory, experiences predicted the state of emotional behaviour in human. There are two parts of brain which are responsible for cognition and emotional states in human i.e. Amygdala and frontal cortex of brain. In this paper, a correlation analysis is being done on the basis of common feature set choosen between self- prepared dataset and public access dataset. The public domain dataset named AMIGOS is choosen for research analysis, as it is prepared on (14 + 2) electrodes. In both datasets same number of electrodes are used. Experimental results confirm that accuracy of both datasets are compatible with each other. AMIGOS dataset shows 80.12% accuracy and prepared dataset shows 74.62% accuracy using SVM classifier.
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Kaur, R., Gill, R., Singh, J. (2019). Comparative Analysis of Cognitive Neurodynamics on AMIGOS Dataset Versus Prepared Dataset. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-13-9939-8_1
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