@InProceedings{Hussein2016_349,
<br/>   author = {Hussein Hussein and Marc Ritter and Robert Manthey and Jan Schloßhauer and Etienne Fabian and Manuel Heinzig},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2016},
<br/>   title = {Acoustic Event Classification for Ambient Assisted Living and Healthcare Environments},
<br/>   year = {2016},
<br/>   editor = {Oliver Jokisch},
<br/>   month = mar,
<br/>   pages = {271--278},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {Acoustic events that are produced by people can be used to recognize
activities or other critical behavior. This contribution presents our first experiments
on acoustic event classification for utilization in the sector of healthcare. Ten acoustic
events, including speech and non-speech events, which are usually occurred in
this field are defined. The database of acoustic events is collected in a recording
studio and annotated manually. A variety of features and several classifiers have
been proposed for classification of acoustic events in order to detect the best feature
set and classifiers for the specified acoustic events. Low-level audio features
and the corresponding delta features are utilized. Statistical functionals are applied
to each of the features and delta features. The best obtained classificaton results,
calculated by the F-Measure, for the ten aoustic events with a feature set of 430
features is 92.50%.},
<br/>   isbn = {978-3-959080-40-8},
<br/>   issn = {0940-6832},
<br/>   keywords = {Musikanalyse, Sensorik und Signalverarbeitung},
<br/>   url = {https://www.essv.de/pdf/2016_271_278.pdf},
<br/>}