Recommending news stories to users, based on their preferences,has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach
to news recommendation that harnesses real-time ...
The significant growth of media and user-generated content online has allowed for the widespread adoption of recommender systems due to their proven ability to reduce the workload of a user and personalise
content. In ...
Body sensor network applications require a large amount of data to be communicated over radio frequency. The radio transceiver is
typically the largest source of power dissipation; improvements on energy
consumption can ...
Today’s high calorie diets and low physical activity levels contributes towards childhood obesity. Exergaming, a combination
of ”exercise” and ”gaming” was conceived as a
means of addressing this problem. In this paper ...
Ambient Exercise refers to the implicit exercise that people undertake in the course of their everyday duties - a simple example being climbing stairs. Increasing awareness of the potential health benefits of such activities ...
A central challenge facing sensor network research and development is the difficulty in providing effective autonomous management capability. This is due to a large number
of parameters to control, unexpected changes of ...
This paper demonstrates gender differences in risk aversion and ambiguity aversion. It
also contributes to a growing literature relating economic preference parameters to
psychological measures by asking whether variations ...
Recent research on the economics of human development deepens understanding of the origins of inequality and excellence. It draws on and contributes to personality psychology and the psychology of human development. ...
In this paper we introduce the use of force feedback in conjunction with myoelectric control to establish an improved interface for a powered prosthetic limb. The force feedback is delivered through a single-axis exoskeleton ...