7 Result(s)
within
Conference Paper
Thomas Plötz
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Chapter and Conference Paper
Personalization Models for Human Activity Recognition with Distribution Matching-Based Metrics
Building activity recognition systems conventionally involves training a common model from all data of training users and utilizing this model to recognize activities of unseen subjects. However, participants ...
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Chapter and Conference Paper
A Dynamic Time War** Approach to Real-Time Activity Recognition for Food Preparation
We present a dynamic time war** based activity recognition system for the analysis of low-level food preparation activities. Accelerometers embedded into kitchen utensils provide continuous sensor data strea...
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Chapter and Conference Paper
Stacking for Ensembles of Local Experts in Metabonomic Applications
Recently, Ensembles of local experts have successfully been applied for the automatic detection of drug-induced organ toxicities based on spectroscopic data. For suitable Ensemble composition an expert selecti...
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Chapter and Conference Paper
Automatic Classification of NMR Spectra by Ensembles of Local Experts
A new approach for the automatic detection of drug-induced organ toxicities based on Nuclear Magnetic Resonance Spectroscopy data from biofluids is presented in this paper. Spectral data from biofluids contain...
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Chapter and Conference Paper
Evaluating Ubiquitous Systems with Users (Workshop Summary)
Evaluating ubiquitous systems with users can be a challenge, and the goal of this workshop was to take stock of current issues and novel approaches to address this challenge. In this paper, we report on the di...
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Chapter and Conference Paper
Towards Human Centered Ambient Intelligence
In this paper we present a novel approach to the integration of humans into AmI environments. The key aspect of the concept which we call human centered Ami is a dynamic and active user model which creates a v...
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Chapter and Conference Paper
On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data
We present an approach for the automatic classification of Nuclear Magnetic Resonance Spectroscopy data of biofluids with respect to drug induced organ toxicities. Classification is realized by an Ensemble of ...
