Human activity recognition is a challenging problem for context-aware systems and
applications. Research in this field has mainly adopted techniques based on supervised …

As a result of the recent explosion of sensor-equipped mobile phone market, the
phenomenal growth of Internet and social network users, and the large deployment of …

In recent years, there has been a growing interest in the adoption of ontologies and
ontological reasoning to automatically recognize complex context data such as human …

The emergence of various types of commercial cameras (compact, high resolution, high
angle of view, high speed, and high dynamic range, etc.) has contributed significantly to the …

Discovering semantic knowledge is significant for understanding and interpreting how
people interact in a meeting discussion. In this paper, we propose a mining method to …

Crowd-sourced data offers new insights in the processing of information not uttered in
spoken interaction. This subjective, perceived, context-related information, and its …

The present interactive application targets to the processing and direct generation and use
of information not uttered, converting it into “visible”, processable information in the form of …

In this paper a new analytical model is presented that accurately predicts the forced
response of fibre reinforced plastic (FRP) sandwich plates subjected to transverse applied …

Targeting to by-pass Cognitive Bias in two-party discussions and interviews containing
longer speech segments, a proposed semi-automatic procedure involves “taking the …

The present approach targets to provide a framework for facilitating multilingual interaction
in online business meetings with an agenda as well as in similar applications in the service …