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Mood State Detection in Handwritten Tasks Using PCA–mFCBF and Automated Machine Learning
In this research, we analyse data obtained from sensors when a user handwrites or draws on a tablet to detect whether the user is in a specific mood state. First, we calculated the features based on the temporal, kinematic, statistical, spectral and cepstral domains for the tablet pressure, the hori...
Autores principales: | Nolazco-Flores, Juan Arturo, Faundez-Zanuy, Marcos, Velázquez-Flores, Oliver Alejandro, Del-Valle-Soto, Carolina, Cordasco, Gennaro, Esposito, Anna |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875261/ https://www.ncbi.nlm.nih.gov/pubmed/35214585 http://dx.doi.org/10.3390/s22041686 |
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