i-Teams

Commercialising Creativity

  • Email
  • Facebook
  • Linkedin
  • Twitter
  • Home
  • About
    • i-Teams at Cambridge
    • i-Teams outside of Cambridge
    • Information for researchers
    • Information for students
    • Resources for i-Teams students
    • Feedback
  • Impact
    • i-Teams statistics 2016
    • From Project to Start-Up
  • Projects
    • 2017 – 2018
    • 2016 – 2017
    • 2015 – 2016
    • 2014 – 2015
    • 2013 – 2014
    • 2012 – 2013
    • 2011 – 2012
    • 2010 – 2011
    • 2009 – 2010
    • 2008 – 2009
    • 2007 – 2008
    • 2006 – 2007
    • i-Teams London
  • People
    • Speakers
      • Past Speakers
    • Mentors
    • Steering Group
    • Sponsors
  • News
  • How to apply
  • Contact
  • April 25, 2018
You are here: Home / Projects / 2014 - 2015 / Using smartphones to manage ongoing health conditions

Using smartphones to manage ongoing health conditions

Contact: Dr. Neal Lathia, Computer Lab

Ongoing health conditions are generally managed via intermittent visits to doctors, which works well for detecting gradual changes, but will not pick up rapid change. Similarly, these visits cannot detect changes to a person’s behaviour which may make them at higher risk of either relapsing and developing a new condition.

The researchers therefore decided to look at how smartphones could be used to support and improve this process, using a combination of passive data from the phone (GPS, accelerometer, app usage, call/text patterns etc), and user-completed surveys. They did this by developing a framework for collecting the data, and then used machine-learning techniques to interpret the information as a predictor of different symptoms.

An initial version of the software has been released as a consumer app called EmotionSense which has had over 35,000 downloads, and typically has 2,000 active monthly users at any time. EmotionSense collects the passive data from an Android smartphone, and uses it to measure the user’s mood and happiness.

The researchers are also collaborating with more medically-focused trials of the technology, including a study with Addenbrookes Hospital where an app called QSense is assisting in smoking cessation programmes by detecting trigger behaviours and locations.

The market for healthcare apps is moving fast, and there are many companies working in the consumer health area. The challenge for the i-Team is to look at where a machine-learning based approach can add the most value, and to determine which areas would be the best for the researchers to focus on going forward.

Filed Under: 2014 - 2015, Cambridge, Lent 2015

Projects (by academic year)

  • From Project to Start-Up
  • 2017 – 2018
  • 2016 – 2017
  • 2015 – 2016
  • 2014 – 2015
  • 2013 – 2014
  • 2012 – 2013
  • 2011 – 2012
  • 2010 – 2011
  • 2009 – 2010
  • 2008 – 2009
  • 2007 – 2008
  • 2006 – 2007
  • i-Teams London

Subscribe to our newsletter

See the archive of old newsletters here

Latest i-Teams Tweets

  • i-Teams newsletter April 2018 - details of our next course, #iteams wins 3rd innovative youth incubator award, Scie… https://t.co/msAlJD5Lv5 Yesterday at 5:16 pm
  • Congratulations to Sphere Fluidics (#iteams 2008) for being one of Red Herring's Top 100 companies of 2018!!!!! https://t.co/DWlziCknWP Yesterday at 11:57 am
  • Apply for Development #iteams by May 1st and help the British Antarctic Survey use polar science to help the develo… https://t.co/dMWI5qrDMZ April 18, 2018 7:50 pm
  • #iteams in the news! https://t.co/icW4S62id3 April 18, 2018 7:47 pm
  • Come to our #iteams end of term presentations March 22nd at 6.30pm for 7pm at the IfM https://t.co/2gyMZAnD5f March 19, 2018 11:38 am
  • Follow Camiteams
  • Email
  • Facebook
  • Linkedin
  • Twitter
IFM
Cutec
Cambridge University Entrepreneurs
cge-logo-website
University of Cambridge

© Copyright 2013 i-Teams Cambridge | Site by Very Simple Sites

This site uses cookies: Find out more.