GryPHone Lab

Have a great idea for an Android App?
Join us to start evaluating it!

Who We Are

GryPHone Lab is an open-access smartphone testbed at the University of Guelph. Our goal is to explore and develop high-impact applications of mobile technology in a range of disciplines, bringing together people capable of programming these devices with others who can make new and novel uses of them.

GryPHone Lab is run by Petros Spachos and developed by graduate students in the University of Guelph at School of Engineering . You can find us in Richards Building 301B, and on Facebook.

What We Do

GryPHoneLab is a smartphone testbed designed to enable mobile systems research that cannot be done in any other way. We enable researchers to instrument and experiment with the Android platform itself, a million-line codebase that runs on billions of devices worldwide.

GryPHone Lab supports short-term projects in a graduate course (starting Fall 2016) open to all graduate students at the University of Guelph, and engages in long-term collaborative research projects. Feel free to contact us if you have a great new idea for Android platform features.


GryPHoneLab is a public smartphone testbed open to researchers and University students. We invite researchers to use our testbed to made possible their idea. GryPHone Lab has facilitated the following smartphone experiments.

HeartBeat Monitoring

This experiment monitors the heart rate of a user through a smartphone application. The main objective is to analyze electrocardiogram data gathered by the phone's sensors to provide personalized heart monitoring.

Drone Control

We examine the use of smartphones along with drones to provide connectivity in emergensy situation. A smartphone application can control the drones and provide temporary connectivity

Real-time seizure prediction through EEG

In this experiment, the students for their 41x project are devising algorithms for real-time prediction of seizures from non-invasive, wireless EEG. The system should perform all pre-processing, feature extraction, and classification locally and only require internet for crowd-sourcing EEG to train a model on remote servers. They chose the Nexus 5 as a representative smartphone with a BTLE radio for interfacing with an Emotiv EPOC+ EEG headset.

More to come!

Have a great idea? We can help you turn it into a successful project!

Our Sponsors

We gratefully thank Telus for their support.

Get in touch

The best way to contact us is via email

  • Address

    School of Engineering
    University of Guelph
    Guelph, Ontario
    Canada N1G 2W1
  • Email
  • Phone

    (519) 824-4120 ext.54012
  • Social