Abstract. In this paper we describe a behavioural biometric approach to authenticate users dynamically based on mouse movements only and using regular mouse devices. Unlike most of the previous approaches in this domain, we focus here on the properties of the curves generated from the consecutive mouse positions during typical mouse movements. Our underlying hypothesis is that these curves have enough discriminative information to recognize users. We conducted an experiment to test and validate our model in which ten participants are involved. Back propagation neural network is used as a classifier. Our experimental results show that behavioural information with discriminating features is revealed during normal mouse usage, which can be employed for user modeling for various reasons, such as information assets protection.
In this work, we outline the submission of Dublin City University (DCU) team, the organisers, to the Lifelog Search Challenge (LSC) workshop at ICMR2018. We developed a prototype interactive lifelog search engine for use in answering interactive search topics. We also demonstrate how the proposed system can be used to solve the development topics.
Nowadays we live in a world where many of us engage with computers more than humans as a result of spending a major part of our life in front of a range of computing devices. Consequently, it's becoming important to shed more light on our interactions with computing devices, which we see as a special domain of lifelogging (information-lifelogging), where capturing and archiving what we see on our computer screens can be utilised for several useful applications such as user profiling, personalization and memory support. In this work, we present a tool that allows us to passively capture the digital content we see on our screens for later re-access. It can be considered as a type of digital memory that stores user's computer usage to recall a user's information creation and access activities. This has potential to assist users to better achieve their daily tasks by having access to a digital backup where their previous content and experience can be recalled as required.
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