Typo fixes in review answers

tex_review/review/01_review.txt

@@ -2,7 +2,7 @@
 Dear Reviewer,
 
 -> At first we would like to start with a short overview over all changes. The individual answers follow directly after this text. All additions to the text are highlighted in blue. Words or text passages suggested by the reviewers to be removed are highlighted in red. As you will see, abstract and introduction are completely revised to better highlight the novel contributions. We were able to implement many suggestions of the reviewers. The transition was highly extended, to achieve a better understanding of the method. We have also added a detailed description of how and by what means our system is installed in a building. This also leads to a better description of the experimental setup.
-We added a complete new section, evaluating the activity recognition. Additionally, you will find mind smaller changes and addition throughout the paper as well as further improvements of the writing. In the following our answers are marked with "->". 
+We added a complete new section, evaluating the activity recognition. Additionally, you will find many smaller changes and addition throughout the paper as well as further improvements of the writing. In the following our answers are marked with "->". 
 
 
 The paper presents a smartphone-based localization system using a particle filter to incorporate different probabilistic models. The comments and suggestions as follows:
@@ -24,13 +24,13 @@ The paper presents a smartphone-based localization system using a particle filte
 
 
 5. The author mention that "Such buildings are often full of nooks and crannies, what makes it hard for dynamical models using any kind of pedestrian dead reckoning (PDR)","the error accumulates not only over time, but also with the number of turns and steps made". So "Thus, this paper presents a robust but realistic movement model using a three-dimensional navigation mesh based on triangles". However, Why does the three-dimensional navigation mesh can deal with the turns and steps error? The author should give the more detail description. The navigation graph uses 30*30 grid-cell, the navigation mesh uses triangles. But I don't find very clear that how does the triangles plan? More triangles can improve the accuracy or not? Why the the ground floor need 320 triangles? This the minimum?
--> We completely changed the transition part, describing how both, graph and nav-mesh are generated automatically, based on the building's floorplan. The number of required triangles strongly depends on the building's layout. 320 were required for the building presented within the picture. We hope that the revised chapter will be easier to understand and give clearer insights into the method, as it is a very important part of our system.
+-> We completely changed the transition part, describing how both, graph and nav-mesh are generated automatically, based on the building's floor plan. The number of required triangles strongly depends on the building's layout. 320 were required for the building presented within the picture. We hope that the revised chapter will be easier to understand and give clearer insights into the method, as it is a very important part of our system.
 
 
 6. The authors emphasize that "The goal of this work is to propose a fast to deploy and low-cost localization solution, that provides reasonable results in a high variety of situations". But for the 2500m2 building they used 42 WiFi beacon. I don't think the number is few. Is the whole 42 beacon necessary? The author should discuss the impact of the number of WiFi beacon. How many are the reference poits? What's the impact of the density of the reference points? If the authors want to emphasizen the fast deploy and low-cost, they should give more detail discussion, also the "high variety".
 -> At first, "within the 2500m2 building" was a bad misformulation, as the building is far bigger. The 2500m2 refers only to the area that is actually walkable by the visitors. As can be seen in figure 7, the building has a very large courtyard in its center. A second reason for the high number of beacons, are the very thick walls. To prevent to much attenuation, we tried to install at least two beacons per room and a third one in an approximate radius of 10 meter. As said before, this was done very quickly without analyzing the Wi-Fi coverage. As the beacons are very cheap (less then $10), they represent only a small part of the total cost of the system. They only require a power source in order to operate, which keeps the need for additional infrastructure small. Furthermore, we believe that a janitor is able to set up our system independently. This means that there is no need to pay an external contractor to utilize the system and only the hardware costs and, if applicable, the price of the software have to be calculated. Nevertheless, these considerations could not apply to all buildings and scenarios, which is why the property "low cost" is removed. Please also refer to line 563 to 586. The number of reference points (133) was added to the text. The term "fast to deploy" is discussed in great detail at the beginning of the experiments. Experiments providing the impact of the density of the reference points, as well as the access-points can be found in our previous paper, ""
 
 
--> Thank you again for your time and the good suggestions to further improve this work. 
+-> Thank you again for your time and the detailed suggestions to further improve this work.