Learning frequent behaviors patterns in intelligent environments for attentiveness level

By Dur\~aes, D.; Cardoso, C.; Bajo, J.; Novais, P.

Advances in Intelligent Systems and Computing

2017

Abstract

Nowadays, when it comes to achieving goals in business environments or educational environments, the performance successfully has an important role in performing a task. However, this performance can be affected by several factors. One of the most common is the lack of attention. The individual’s attention in performing a task can be determinant for the final quality or even at the task’s conclusion. In this paper is intended to design a solution that can reduce or even eliminate the lack of attention on performing a task. The idea consist on develop an architecture that capture the user behavior through the mouse and keyboard usage. Furthermore, the system will analyze how the devices are used.

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