VOLPE G.

Industry 5.0 rethinks the role of human operators in production processes with the final goal to promote societal well-being. To achieve such a goal, novel computational approaches reshaping human-machine collaboration are needed. This paper presents a computational framework, stemmed from Cognitive Sciences, to enable human operators and...

The perceived Origin of full-body human Movement (OoM), i.e., the part of the body that is perceived by an external observer as the joint from which movement originates, represents a relevant topic for movement analysis. Indeed, its automated detection is important to contribute to the automated analysis of full-body emotions and of non-verbal...

Analysis of movement expression is a multidisciplinary research domain, that exploits the contributions from a wide variety of research fields, ranging from biomedical, computer science and robotic engineering, moving through psychology, to dance and performing arts. That is why there is the need to make tools also accessible to students and...

In this paper, we present and assess a novel technique for unitizing inspired by a cognitive theory on event structure perception. Unitizing indicates the process of dividing an observation into smaller units. Unitizing is often performed automatically, e.g., by selecting fixed-length windows. Although fast, such approach might result in unit...

Musical communication can be considered as a form of social interaction and it requires a certain degree of inter-individual cortical synchronization. Scientific literature has shown that visual experience is necessary for social interaction and visual impairment negatively influences nonverbal communication both in children and adults. In this...

Objective: To assess the differential diagnostic significance of a series of quantitative and qualitative variables of the cerebellar vermis in fetuses with posterior fossa cystic malformation, including Dandy–Walker malformation (DWM), vermian hypoplasia (VH) and Blake's pouch cyst (BPC). Methods: This was a retrospective study of confirmed...

Endowing machines with social intelligence is a fundamental goal of artificial social intelligence. Dealing with human-centered phenomena requires, however, a considerable amount of manually annotated data, making data annotation a costly and challenging task that hinders the training of supervised learning algorithms. In this study, we apply...