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Development of gait analysis algorithms for smart socks or smartphone sensors

Research Group Activity

The Institute of Digital Healthcare aims to improve people’s health and wellbeing through the use of innovative digital technologies. We work closely with healthcare companies, technology start-ups and the NHS to deliver applied research and development in the area of digital health.

Dr Elliott is based in IDH and his research group is interested in movement analytics. This involves the use of technology to accurately measure, monitor and model movement and activity, primarily for healthcare related applications.

Project Description

Gait analysis is important for a wide range of healthcare applications, including neuro-rehabilitation (following Stroke or brain injury) or pre-surgical assessment (e.g. prior to knee or hip replacement). You will work on a project analysing motion sensor data and/or developing algorithms to extract relevant movement and gait measures. For example, this could be data generated from 'smart socks' which use fabric sensors to measure walking patterns, or it could be data from smartphone sensors (accelerometers and gyroscopes). If we can capture measures using these sensors it will allow rapid screening and monitoring of patients without them needing to visit a lab. Our lab has a substantial range of equipment including research grade inertial measurement units, Actigraph activity monitors, a rehab treadmill and Virtual/Augmented Reality systems. It is highly likely you will work with our state-of-the-art 3D video motion capture system to verify your measures.

Note: This is a lab-based project. The intern will be required to follow all COVID-related safety precautions, along with all other laboratory health & safety requirements. If the project cannot proceed due to any restrictions in place, then the following 'Plan-B' project will be offered:

The Plan-B project will focus on data analysis of previously collected data. This may relate to the project above or another similar digital health research project we are currently working on.

Smart Sock from Footfalls & Heartbeats

Required Skills

The intern working on this project should be familiar with Matlab and signal processing methods. Candidates should be able to demonstrate an interest in technology for movement analysis research and/or healthcare related research.

Apply for this Project

If you wish to apply for this project, fill in the form below including uploading your CV and personal statement, explaining why you want to do this particular internship project. Attachments must be in PDF format.

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Project Team

markelliott

Dr Mark Elliott