We describe Siento, a system to perform different types of affective computing studies. The platform allows for dimensional or categorical models of emotions, self-reported vs. third party reporting and can record and process multiple types of modalities including video, physiology and text. It has been used already in a number of studies. This type of systems can improve the repeatability of experiments. The system is also used for data acquisition, feature extraction and data analysis applying machine learning techniques. © 2011 Springer-Verlag.
CITATION STYLE
Calvo, R. A., Hussain, M. S., Aghaei Pour, P., & Alzoubi, O. (2011). Siento: An experimental platform for behavior and psychophysiology in HCI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6975 LNCS, pp. 307–308). https://doi.org/10.1007/978-3-642-24571-8_35
Mendeley helps you to discover research relevant for your work.