Federico Ceccarini

Federico Ceccarini Engineering.IT

Key research interests: Human-computer interfaces. Artificial Intelligence. Multi-modal signal processing. Computational Emotion Model. Emotion recognition by gesture.

Favorites

 

Considerazioni "notturne" sulla visione artificiale

La percezione visiva è un fenomeno molto complesso che si basa su differenti processi a vari livelli di complessità. Il riconoscimento del volto umano è un tipico problema di visone artificiale in cui è possibile affrontere le insidie della percezione visiva in un ambito di estremo interesse. Le note quì riportate evidenziano alcune considerazioni di carattre generale relative a tale problema.

A New Approach Toward a Modular Multimodal Interface for PDAs and Smartphones

In this paper we present an innovative approach for exploiting the handheld device hardware increasing power. These results have been achieved in the framework of a larger project aimed to the definition of a platform to build mobile multimodal applications. Such project, called CHAT, has been co-funded by Italian Ministry of Research. Focusing our attention on the system client side, we will show how it is possible to use a thin client approach for building high modular client interfaces, managing asynchronous interactions originated on the server-side, eventually pushing contents using different criteria (e.g. change of the environmental context). We have studied how to build mobile multimodal clients, adopting an innovative approach based on the aggregation of what we have called “multimodal objects” that are able to exploit the benefits of both telecommunication and web protocols to manage input/output processes. Furthermore, we will report some restrictions and constraints coming from the adoption of two different environments: .NET and J2ME. We will highlight our solid experiences in this area and some prelimi-nary results of our research.

Advanced User Interfaces for e-learning

This paper outlines an original approach to e-learning systems which integrates the most recent results in the field of human-computer interaction. Notably it will show the applicability of multimodal, attentive, affective and perceptual user interfaces to monitor the students’ behavior during their interaction with an e-learning system, in order to measure their attention level and involvement and promptly provide the necessary support to carry out an effective learning process.

MAAPUI: Multimodal Attentive Affective Perceptual User Interface for e-learning

This is the the presentation of the WiSe team result at the VI Congresso Nazionale Sie-L e-learning, creatività e Innovazione