Sign In for Full Access

Quick access through the institutional single sign-on Manchester Met Sign In
Skip this for now
Public Access Here

Sign In for Free Access

Login with email for free guest access to a range of Rise content
Logging You In!
Incorrect Password (Click Here to Reset)! Passwords Must Match Password must be more than 8 characters
Skip this for now
Man Met Access Here
Activity: Takes place with a fixed time and schedule
lock Restricted Content
5th June
to 26th June
140 You will earn 140 bronze points for completing this activity.
Log In To Book

How do we walk? – CGI technology to help people walk better

5th June to 26th June
Manchester Metropolitan University has state of the art technology for measuring how we walk. This is similar to how CGI films are made, and we use it to understand how a disease or injury affects our ability to walk. We want you to compare two different types of gait analysis equipment and write it up for a research publication.

Host Researcher: Dr Hannah Jarvis

We often take being able to walk for granted, but when someone has a disease or injury it can really affect their ability to walk. This can mean that they sometimes cannot do normal activities (go to the shops, get dressed etc) and even lose their job (


We use lots of different equipment to measure how someone who has a disease or injury walks, but we need to know whether there are differences between the equipment. We would like to recruit two Rise internship students to work together to lead their own research project to compare two different types of gait analysis equipment. This is an important project because a better understanding of the two analysis types will ensure the most suitable option is used for future research. This will lead to a better and quicker recovery of walking in people who have a disease or injury.

You will be required to learn how to use the two state-of-the-art gait analysis equipment called XENS (

Home – Xsens 3D motion tracking

) and Qualisys Motion Capture System (

Qualisys | Motion Capture Systems

), collect data on 5 participants, analyse this data and then compare the results. You must be hard-working, and keen to learn, but we will teach you how to use all the software and equipment. So, if you fancy a challenge, want to contribute to leading research, publish on it (which will look great on your CV!) and make a difference to people’s lives this is the project for you!

In A Nutshell...

  • Collaborate... Work with leading gait analysis researchers
  • Technology... Learn how to use world-leading gait analysis equipment
  • Research with impact... Publish your research in a scientific journal
  • Improve outcomes... for patients with disease or injury that affects their ability to walk
  • Earn up to 140 Rise points ... which can be recognised within your degree.


  • call_split 05/06/22 to 26/06/22
    Learn how to use equipment
    To support data collection
  • call_split 05/06/22 to 26/06/22
    Data collection
    Collect data from participants using state of the art CGI technology
  • call_split 05/06/22 to 26/06/22
    Data analysis
    Analyse data collected