Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiï¬...
Abstract. We present a GUI-based C++ toolbox that allows for building distributed, multi-modal context recognition systems by plugging together reusable, parameterizable components...
David Bannach, Kai S. Kunze, Paul Lukowicz, Oliver...
Abstract— Temporal classiï¬cation, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classiï¬cation algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
Abstract—This paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyon...
This paper reports on a novel recurrent fuzzy classiï¬cation method for robust detection of context activities in an environment using either single or distributed sensors. It als...