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small changes in abstract and intro

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toni
2016-02-25 19:48:37 +01:00
parent a8b91b141d
commit 6ef06459cb
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tex/chapters/abstract.tex
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@@ -6,6 +6,6 @@ In order to create such paths, we present a method that assigns an importance-fa
The human movement is then modelled by moving along adjacent nodes into the most proper walking-direction.
To enable 3D localisation, realistically shaped stairs for step-wise floor changes are used.
The position is estimated over multiple floors integrating different sensor modalities, namely Wi-Fi, iBeacons, barometer, step- and turn-detection.
The system was tested by omitting any time-consuming fingerprinting and calibration process and starts with a uniform distribution over the whole building instead of a well known pedestrian location.
The system was tested by avoiding any time-consuming fingerprinting and calibration process and starts with a uniform distribution over the whole building instead of a well known pedestrian location.
The evaluation shows that adding prior knowledge is able to improve the localisation, even under unpredictable behaviour, faulty measurements and poorly chosen system parameters.
\end{abstract}