| contributor | IPVS, Bildverstehen | ||||||||||||||||||
E-Mail: | creator |
Wiselka, Matthias
| Schieberle, Christian
| Gerhardt, Andreas
| date |
2008
| description |
61 pages
|
Within the scope of the NEXUS project, a possibility was needed to
determine if a room was occupied based on measured audio signals.
The goal of this case study was to analyze and compare the quality
of different methods that allow recognition of the ongoing
situation. The analyzed methods include a noise level based
approach, artificial neural networks and logistic regression. Also,
a comparison was made for different numbers of recognizable
situations and how well they could be recognized. This case study
included the development of a program for measuring the audio
signals of a room and another program for the evaluation of the
measured audio data with the analyzed methods.
| format |
application/pdf
| 6310325 Bytes | |
| identifier | http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=FACH-0097&engl=1 |
| language | ger |
| publisher | Stuttgart, Germany, Universität Stuttgart |
| relation | Student Report Software Engineering No. 97 |
| source | ftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/FACH-0097/FACH-0097.pdf |
| subject | Vision and Scene Understanding (CR I.2.10) |
| Image Processing and Computer Vision Scene Analysis (CR I.4.8) | |
| Pattern Recognition Applications (CR I.5.4) | |
| Model Validation and Analysis (CR I.6.4) | |
| NEXUS | |
| Geräuschpegelanalyse | |
| Künstliche Neuronale Netze | |
| Logistische Regression | |
| Multinomiale Regression | |
| Situationserkennung | |
| title | Verfahren zur Geräuschpegelanalyse zur Situationserkennnung |
| type | Text |
| Student Report Software Engineering |