REAL TIME ANALYTICS FOR CHARACTERIZING THE COMPUTER USER'S STATE

General information

Authors:
Davide CARNEIRO, Daniel ARAÚJO, André PIMENTA, Paulo NOVAIS

DOI:
10.14201/ADCAIJ201654118

Volume:
Regular Issue 5 (4), 2016

Keywords:

Big Data; Distributed Computing; Behavioural Analysis; Keystroke Dynamics; Mouse Dynamics

In the last years, the amount of devices that can be connected to a network grew significantly allowing to, among other tasks, collect data about the environment or the people in it in a non-intrusive way. This generated nowadays well-known topics such as Big Data or the Internet of Things. This also opened the door to the development of novel and interesting applications. In this paper we propose a distributed system for acquiring data about the users of technological devices in a non-intrusive way. We describe how this data can be collected and transformed to produce meaningful interaction features, that reveal the state of the individuals. We analyse the requirements of such a system, namely in terms of storage and speed, and describe three prototypes currently being used in three different domains of application.

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