Différences

Ci-dessous, les différences entre deux révisions de la page.

--- projets:plim:20152016:gr13 [2015/11/22 13:59] – [MAIN INFORMATIONS about the Project] isoard
+++ projets:plim:20152016:gr13 [2015/11/22 20:05] (Version actuelle) – [MAIN INFORMATIONS about the Project] isoard
@@ Ligne 29: / Ligne 29: @@
 of shaking and luminosity acknowledged from recorded values and k-means algorithm.
+ {{:projets:plim:20152016:apppl.png?200|}}
 == SOFTWARE PACKAGES of the Project ==
+You can download the Visual Studio Project: {{:projets:plim:20152016:phoneapp1.zip|}}
 == Required SOFTWARE Environment ==
@@ Ligne 45: / Ligne 47: @@
 === HOW TO USE IT and RESULTS ===
-== Video ==
 == Tutorial ==
+The application needs some samples to perform the recognition, so you need to record some samples
+by using the buttons associated : there is one button for each capture (one for accelerometer and one for light sensor), you press one of the button to launch the capture, you put the phone in different situations during the record (moving normally and shaking hard for the accelerometer; low, normal and high luminosity for the
+light sensor), then you press again the same button to stop the capture.
+Once the samples recorded, the application will be able to recognize different situation for accelerometer and luminosity : the third button will show a special text when you shake the phone (you press it to clear the text) and the text area will show the actual level of luminosity (low, normal or high).
+Take care of correctly recording samples because the recognition is based on the k-means clustering (2 clusters for accelerometer and 3 for lightsensor), so if this step is done wrongly, the recognition might don't work.
+You can always record new samples using the associated buttons, the previous sample corresponding are erased and only the last record is used for recognition.