Gian Marco Revel

TL;DR: A method for the analysis and prediction of the noise generated by belt drives which consists of two distinct phases is presented, showing the feasibility of modelling the vibro-acoustic behaviour of belt drives and the possibility of a totally numerical procedure.

TL;DR: An eHealth system is described to improve the lifestyle of people with dementia and their caregivers and a social robot is integrated with a sensor network to measure ADLs with the goal to provide context relevant suggestions and reduce the caregiver burden.

TL;DR: A candidate implementation of a network of health sensors and home automation devices to monitor the user's status within the home environment is presented, describing the software architecture and the selected components and a testbed of the architecture, realized in a lab room and used for a preliminary experimental study involving seven users.

TL;DR: In this article, the authors proposed an approach to assess a subject's well-being by using artificial intelligence (AI) algorithms applied to these sets of data and demonstrated capabilities to infer indices related to the subject's status and wellbeing.

TL;DR: In this paper, the electrical impedance of three different concrete mixes during accelerated degradation tests is discussed. And the two new low-clinker cements adopted seem to improve the measurement sensitivity towards contaminants ingress with respect to the commercial one.