Biosignal analysis has far exceeded the medical practice scenarios to which it was traditionally associated with, to find novel applications in areas so diverse as e-learning, sport sciences, entertainment, among many others. The growing interest by both research communities and industry leaders throughout different activity sectors, together with the profusion and usability of modern acquisition technologies, has enabled a true revolution in the field of biosignal research. However, a problem that researchers normally face, is the access to large sets of data, in particular collected in a repeatable manner. This paper presents a data acquisition framework and experimental setup, designed to further extend our research in the areas of affective computing and behavioral biometrics. Initial experiments, targeted the analysis of relatively unexplored aspects related to the acquisition and processing of SCR and ECG signals, from which preliminary findings revealed new research opportunities.