The i-Log system

Smartphone Sensors

The i-Log mobile application has been designed to collect data from the smartphone's internal sensors (details). The user is always informed of the data collection process thanks to a notification (details).

User Feedback

Periodically the user is asked to validate the sensor data by replying to very simple questions describing what he/she is doing (details). Questions can be answered immediatly or in a later moment but up to a certain time period.

Privacy Aware

All the data are collected in compliance with the EU Privacy laws. From a technical point of view, all the collected data are linked with a random unique identifier (details) that does not allow to link the data with the user who generated it.

Android Devices

The i-Log mobile application has been designed for Android devices. An iOS version is in development.

Easy to use

i-Log is very easy to use. The user can even not interact with the application at all. It starts when the phone boots and terminates when the battery is too low.

Battery Efficient

It is well known that using the phone to collect data is a battery intensive task. We designed the algorithms implemented in i-Log to be energy efficient and to affect the phone usability minimally, allowing to reach a full day battery life.


The list of sub-projects of SmartUnitn.

SMART Knowdive

Internal Knowdive group experiment


Involving bachelor students from Unitn


Involving the municipality of Trento


What is the story so far

  • October 2015

    Great minds think alike

    Our team starts to assemble to bring i-Log to sociological studies. So, a first idea of SmartUnitn is proposed

  • March 2015

    SmartKnowdive is first proposed to test the capabilities and robustness of i-Log.

  • October 2016


    SmartKnowdive starts and acts as a test bed for future projects. It makes us cut our teeth on 20 users and shows great promise!

  • November - December 2016

    Moving to SmartUnitn

    The SmartUnitn first deployment starts with 72 students and will last for two weeks. Students provide us a huge amount of high quality data thanks to i-Log.

  • Join us!

    Be part of our story!

    SmartUnitn is always searching for new people.

Our Team

You need smart people for a smart project

Fausto Giunchiglia

Full Professor - Unitn

Mattia Zeni

Technology Architect

Enrico Bignotti

Lead Philosopher

Ivano Bison

Professor - Unitn

Elisa Gobbi



"Personal context modelling": it is the first pubished work on the project, showing early results from a subset of students from the SmartUnitn project with respect to the capability of smartphones to administer time diaries and collect sensor data.

Contact Us

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