- The application developed for the second assignment of Smart Phone Sensing delivers indoor (and outdoor) localization using RSS signals from WiFi access points using Bayes filters names
- load distribution
- phones used
- version of android
...
- Needs dimensions
- how many APs typically?
- how many samples in total?
- how many samples for training, how many for testing?
- everything online
- in short? automatic and manual
- filters also online
- pmf for two cells
- gaussian distribution vs. histogram
- aka PDF vs. PMF
- I believe we use PDF
- number of tries? steady state? parallel/serial?
- convergence conditions??
- short explanation on how the app works
- figure
- how many total training samples, how many testing samples
- how many iterations
- Manual
- Automatic
- any other interesting things we've noticed
- what was hard to do?
- how do we handle APs that don't exist in certain cells??