CS 525M, Spring Semester Project 2: Sensor logging using FUNF
Due: February 12, 2013 by class time
Funf Journal is an Android application built using the Funf framework, an open
source sensor logging application suitable for use by researchers, self-trackers,
or anyone interested in collecting and exploring information related to the mobile
device, its environment, and its user's behavior.
FUNF Framework: On a PC, visit the FUNF
website FUNF.org and read about the framework.
Try to understand how it works. The paper Social Sensing for Epidemiological Behavior Change
in week 4 of the class used an earlier version of FUNF. Look in the "Social Sensing for Epidemiological Behavior Change" paper to
see how it was used in that paper and read the FUNF website in general to understand the various ways one can use FUNF.
FUNF Journal: is an Android application that does the actual data logging.
Funf Journal is probably the easiest way to get started with the Funf framework and its functionality.
Read about FUNF journal on the FUNF website .
Download FUNF journal Android App: Go to Google Play and download Funf journal.
Try it out. Use FUNF to log your activities for 3 days. Analyze your data using the scripts
on the FUNF website. The analysis scripts generate a web page automatically.
Write a review for FUNF: Your review should
a) review your experience with
FUNF journal as an app (similar to your reviews of shop savvy and AndroSensor).
Put your review in a Word document. You should talk about the main features of Funf,
how it works, what you like or dislike about each application and any other interesting
b) Analyze the data logged by your activities in the 3 days. Embed images from the web page with your data of your sensor logs into your
report (same Word document as part a) and comment on the data. What patterns or activities
do you see? What did you notice?
Improving some apps using sensors logs gathered from FUNF In previous weeks we read
about the VibN and BeWell apps. If we wanted to use some of the sensors that FUNF supports,
for each app (VibN and Bewell), name two sensors each that you would use to enrich (improve)
these apps. Describe high level how you would use these sensors. Tie your answer in with "FUNF in a box".
What to submit
Submit one Word document (One Word document for all parts/reviews). Put all parts into this Word document and email it to me
by the due data. You are encouraged to all share information by posting on myWPI.
But eventually you should write separate reviews.