Update README.md

README.md

-Moodoo library: Indoor Positioning Analytics for Characterising Classroom Teaching. 
+### Moodoo library: Indoor Positioning Analytics for Characterising Classroom Teaching. 
 
-#Please, cite as:
-Martinez-Maldonado, R., Echeverria, V., Schulte, J., Shibani, A., Mangaroska, K. and Buckingham Shum, S. (2020). 
-Moodoo: Indoor Positioning Analytics for Characterising Classroom Teaching. 
-International Conference on Artificial Intelligence in Education, AIED 2020, 360-373. 
+For more information about this library refer to the following paper:
 http://martinezmaldonado.net/files/AIED20-MoodooLocalisationLibrary.pdf
 
 # How to install 
@@ -39,20 +36,20 @@ Install pip requirements
 - `pip3 install -r requirements.txt`
 
 
-### How to run script
+# How to run script
 
 To run all the files using the test dataset run the script test\demoMAIN.py:
-`python demoMAIN.py --all`
+`python demoMAIN.py`
 (NOTE: It can take some time to complete the analysis)
 
 To test the functions in each script and generate intermediate output files, 
-run the files l demo1-5 in the following order:
-	test\demo1_preprocessing.py
-	test\demo2_stopsAndTransitions.py
-	test\demo3_fixedPoints.py
-	test\demo4_entropy.py
-	test\demo5_generateMetrics.py
-	
+	Run the files demo1-5 in the following order:
+		test\demo1_preprocessing.py
+		test\demo2_stopsAndTransitions.py
+		test\demo3_fixedPoints.py
+		test\demo4_entropy.py
+		test\demo5_generateMetrics.py
+		
 The file info.ini contains important parameters that are used by the scripts.
 
 To analyse your own data, example files are in the folder test\Merged dataset 2018-2019\. 
@@ -74,3 +71,7 @@ This folder contains the following csv files:
 		beginning and the end of such session (e.g. the first and last datapoint of each session).  
 		
 
+# Please, cite as:
+Martinez-Maldonado, R., Echeverria, V., Schulte, J., Shibani, A., Mangaroska, K. and Buckingham Shum, S. (2020). 
+Moodoo: Indoor Positioning Analytics for Characterising Classroom Teaching. 
+International Conference on Artificial Intelligence in Education, AIED 2020, 360-373. 
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