Enzo Pasquale Scilingo

TL;DR: A novel algorithm for the analysis of electrodermal activity (EDA) using methods of convex optimization is reported on, showing good performance of the proposed method and suggesting promising future applicability, e.g., in the field of affective computing.

TL;DR: Some typical features of distributed sensing systems are described, as well as a methodology to read signals from such systems Theory, simulation, results, and some specific applications are shown Strain gauges have been used as sensors and have been deposited directly onto textile fibers, demonstrating one way to realize wearable sensor system as mentioned in this paper.

TL;DR: The findings validate the use of Immersive Virtual Environments to elicit and automatically recognize different emotional states from neural and cardiac dynamics; this development could have novel applications in fields as diverse as Architecture, Health, Education and Videogames.

TL;DR: Results of a careful characterization of the performance of innovative fabric sensors and electrodes able to acquire vital biomechanical and physiological signals, respectively are reported on.

TL;DR: An automatic multiclass arousal/valence classifier is implemented comparing performance when extracted features from nonlinear methods are used as an alternative to standard features and results show that, when nonlinearly extracted features are used, the percentages of successful recognition dramatically increase.