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...

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Detalles Bibliográficos
Autores principales: Nolazco-Flores, Juan Arturo, Faundez-Zanuy, Marcos, Velázquez-Flores, Oliver Alejandro, Del-Valle-Soto, Carolina, Cordasco, Gennaro, Esposito, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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