Accurate branch prediction is essential for obtaining high performance in pipelined superscalar processors. Though many dynamic branch predictors have been proposed to obtain high...
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Context and context-awareness have been central issues in ubiquitous computing research for the last decade. Advances with regard to context acquisition and activity recognition a...
This paper defines a new, context-driven programming model for pervasive spaces. Existing models are prone to conflict, as it is hard to predict the outcome of interleaved actions ...