Book Chapter10.1007/978-3-031-20980-2_40
Self-Configuring Genetic Programming Feature Generation in Affect Recognition Tasks
Danila Mamontov,Wolfgang Minker,Alexey Anatolievich Karpov +2 more
- 01 Jan 2022
pp 464-476
1
TL;DR: In this article , a genetic programming (GP) algorithm for feature generation issues in affect recognition tasks is presented, and the results show the effectiveness of the GP approach in comparison with PCA and ICA and its capability to significantly reduce the feature space.
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Abstract: AbstractFeature extraction is one of the main parts of Machine Learning. Regardless of the nature of solving tasks, developers either need to use standard sets of features for a certain problem or try to generate their own features from raw data. In this paper, we present the genetic programming (GP) algorithm for feature generation issues in affect recognition tasks. We tested this approach in human affect recognition tasks on two corpora the WESAD and the RECOLA. We also used classical methods for feature space reduction Principal Component Analysis (PCA) and Independent Component Analysis (ICA). The results show the effectiveness of the GP approach in comparison with PCA and ICA and its capability to significantly reduce the feature space saving a high performance of classifiers in affect recognition tasks.KeywordsEvolutionary algorithmsFeature space reductionHeart rate variabilityLow-level descriptors
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References
Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.
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18.1K
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- 25 Oct 2010
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