toni/IPIN2016
2
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

less activity rec

Browse Source
This commit is contained in:
toni
2016-05-18 17:12:39 +02:00
parent b936668818
commit bd9242f0dc
4 changed files with 18 additions and 17 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
tex/chapters/introduction.tex
View File

@@ -61,7 +61,7 @@ For example, most mobile devices restrict the \docWIFI{} module to update only e
\caption[An example of the occurrence of a multimodal distribution.]{
An example of the occurrence of a multimodal distribution.
At time $t-1$ the floor is separated by a wall and the distribution (coloured circle), splits apart.
The most likely position (green line) is estimated somewhere in-between. After a right turn, the distribution slowly starts to recover its unimodality.}
The approximated position (green line) is estimated somewhere in-between. After a right turn, the distribution slowly starts to recover its unimodality.}
\label{fig:multimodalPath}
\end{figure}
%
@@ -86,7 +86,7 @@ forward-backward smoothing \cite{doucet2000} and backward simulation \cite{Godsi
Within this work, we investigate the benefits and drawbacks of those techniques using a conventional localisation system \cite{Ebner-16}.
We provide both fixed-lag and fixed-interval smoothing as well as a novel approach for incorporating them easily within the localisation procedure.
Additionally, we enrich the state transition model with an activity recognition to distinguish between walking, standing and walking stairs.
%Additionally, we enrich the state transition model with an activity recognition to distinguish between walking, standing and walking stairs.
The main goal is to solve the above-mentioned problems and to investigate new possibilities for even more advanced systems.
All of our contributions are supported by an extensive experimental evaluation.