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...
We study activity recognition using 104 hours of annotated data collected from a person living in an instrumented home. The home contained over 900 sensor inputs, including wired r...
Beth Logan, Jennifer Healey, Matthai Philipose, Em...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Neurophysiological studies in the primary auditory cortex have recently demonstrated a rich diversity of responses that provide an explicit multidimensional representation of phon...
In this paper we present a toolkit for realizing capacitive sensing applications for human-computer interaction in pervasive computing systems. We argue that capacitive sensors - ...
Raphael Wimmer, Matthias Kranz, Sebastian Boring, ...