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Recommending travel destinations on the basis of users' travel intentions is a research topic being studied recently in the field of intention analysis. This study considers travel intentions from a large number of travel-related reviews containing the reviewers' purpose for visiting the points of interest (POIs). We analyze travel intentions of 83,207 POIs using 6,791,427 reviews in www.TripAdvisor...
An innovative automatic door control system is proposed in this paper to overcome the drawback of frequent false actions among the present devices while increasing their added values for security applications. Through human detection and trajectory tracking techniques, the proposed system can precisely identify those people with intention of entering or leaving the door, and then control opening and...
Smart environments are slowly but surely entering our everyday life. Their design provides many challenges. Not only heterogeneous devices acting and interacting in a dynamic environment but also intentions and activities of humans have to be taken into account. Diverse processes are responsible for achieving unobtrusive and pro-active user assistance. Those can be structured into a pipeline of perception,...
Intention recognition is the ability to predict an opposing force's high level goals. Knowing an attacker's intention can support the decision-making of the network security administrators. Threat assessment based on intention analysis is an important part of network security situation awareness. So how to recognize attack intention and assess threat has become a research hot in network security domain...
Among the scenarios for pervasive learning are teleteaching and project work. The former tries to deliver a lecture to a distributed audience, while the latter tries to enhance the learning effect by concentrated collaboration. In this paper, we want to show how an ambient environment, designed to support teams in a meeting, can be used to support pervasive learning scenarios as well as meetings....
This paper proposes a framework of an interface that is capable of detecting and classifying human intentions and personality types. The framework relies on a conventional set of multimodal components, namely an eye-tracking system, a mouse and a keyboard, where a large number of real time data analysis will take place, in order to detect behavioral patterns. The system gradually learns from the players...
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