In Ambient Intelligence (AmI), the activity a user is engaged in is an essential part of the
context, so its recognition is of paramount importance for applications in areas like sports …

Multi-sensor fusion refers to methods used for combining information coming from several
sensors (in some cases, different ones) with the aim to make one sensor compensate for the …

Condition monitoring and control of manufacturing processes are among the key issues for
the development of smart factories. The employment of multiple sensor systems for …

The goal of this paper is to propose an adaptive fusion method that aggregates the results of
predictions obtained for a set of classifiers. The problem of selecting the best fusion method …

Multi-sensor fusion intends to boost the general reliability of a decision-making procedure or
allow one sensor to compensate for others' shortcomings. This field has been so prominent …

This paper concerns the novel concept of an Interactive Dynamic Intelligent Virtual Sensor
(IDIVS), which extends virtual/soft sensors towards making use of user input through …

Automatic identification of human facial expressions has many potential applications in
today's connected world, from mental health monitoring to feedback for onscreen content or …

A great challenge in applying AI to specific problems in the industry is to select the proper
method when multiple methods are available. In this paper, we intend to address this issue …

Mobile devices and sensors have limited battery lifespans, limiting their feasibility for context
recognition applications. As a result, there is a need to provide mechanisms for energy …

This work addresses the question of how to estimate mathematical anxiety from psycho-
physiological data in real-time applicable to primary school pupils. Besides establishing …