Marta Giltri

Università degli Studi di Milano-Bicocca | UNIMIB · Department of Informatics, Systems and Communication (DISCo)

Cellular Automata have successfully been successfully applied to the modeling and simulation of pedestrian and crowd dynamics. In particular, the investigated scenarios have often been focused on the evaluation of medium–high population density situations, in which the motivation of pedestrians to reach a certain location overcomes their tendency t...

In this paper, we face the problem of task classification starting from physiological signals acquired using wearable sensors with experiments in a controlled environment, designed to consider two different age populations: young adults and older adults. Two different scenarios are considered. In the first one, subjects are involved in different co...

Cellular Automata have successfully been applied to the modeling and simulation of pedestrian dynamics. These simulations have often been focused on the evaluation of situations of medium-high density, in which the motivation of pedestrians overcomes natural proxemic tendencies. The COVID-19 outbreak has shown that in certain situations it is inste...

Physiological responses are currently widely used to recognize the affective state of subjects in real-life scenarios. However, these data are intrinsically subject-dependent, making machine learning techniques for data classification not easily applicable due to inter-subject variability. In this work, the reduction of inter-subject heterogeneity...

Physiological responses are nowadays widely used to recognize the affective state of subjects in real-life scenarios. However, these data are intrinsically subject-dependent, making machine learning techniques for data classification not easily applicable due to inter-subject variability. In this work, the reduction of inter-subject heterogeneity i...

Many manifestations of interactive human behavior (social and with the environment) are conditioned by emotions, influencing reasoning and other rational decision making activities. The study of the interplay of emotional and non-emotional behaviors (spatial motion) is here faced through the modeling of affective agents where affective states are e...

The aim of this review is to provide a broad overview of the state-of-the-art works mainly published in the last ten years on expert systems applied in different medical domains. Being able to support and sometimes substitute experts, an expert system may be a precious ally for medical diagnoses. Medical expert system applications provide physician...

The constantly growing number of elderly people may represent a challenge for the healthcare system of different countries, especially when the goal is to promote a healthy ageing for older adults. COVID-19 pandemic is demonstrating the necessity of moving from traditional care to telemedicine, which may provide a broad number of services without l...

The modeling of a new generation of agent-based simulation systems supporting pedestrian and crowd management taking into account affective states represents a new research frontier. Pedestrian behaviour involves human perception processes, based on subjective and psychological aspects. Following the concept of pedestrian environmental awareness, e...

In this paper we explore if physiological signals obtained from a person through wearable sensors permit the correct interpretation of human affective states. A crucial aspect within this field of research is the capability of inducing real-life emotions in laboratory environments. To this end we designed a very strict and regulated experimental pr...

The ageing of our society, due to the technological advancements brought in our lives, its a sign of how better we can now live compared even just to a decade ago. Because of this, one of the important aspects that our society is now focused on is bringing proper care to all of the senior citizens that take advantage of these technological improvem...