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CHAPTER 70
ATLAS – An Annotation
Tool for HCI Data Utilizing
Machine Learning Methods
Sascha Meudt
1
,Lutz Bigalke
1
, Friedhelm Schwenker
1
1
Ulm, Germany
University of Ulm
{firstname.lastname}@uni-ulm.de
ABSTRACT
ATLAS is a graphical tool for the annotation of multi-modal data streams. In our
application, the data is collected in human computer interaction (HCI) scenarios.
Basically, any type of input data can be processed by the ATLAS annotation tool,
including speech (multi-channel), video (multi-channel), EEG, EMG, ECG data. In
addition to the raw data, intermediate data processing results such as extracted
features, and even (probab