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Human Motion Analysis for Healthcare Applications

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Advances in technology in human motion capture have been quite remarkable during the last decade. Specialised depth sensors are now embedded even on mobile devices. Recent progress in Deep Learning allows standard video camera to capture 3D human motion.

Their main advantages are their non-intrusive nature, low cost and widely available support for developers offered by large corporations or Open Communities. They inspired numerous healthcare-related ideas and projects were developed in areas such as Medical Disorder Diagnosis, Assisted Living, Rehabilitation and Surgery.

In Assisted Living, human motion analysis allows continuous monitoring of elderly and vulnerable people and their activities to potentially detect life-threatening events such as falls. Human motion analysis in rehabilitation provides the opportunity for motivating patients through gamification, evaluating prescribed programmes of exercises and assessing patients’ progress. In operating theatres, surgeons may use a gesture-based interface to access medical information or control a telesurgery system. Human motion analysis may also be used to diagnose a range of mental and physical diseases and conditions.

This event will discuss recent advances in human motion analysis with applications in healthcare and provide opportunities for networking and exploring potential synergies and collaborations.

The event is co-organised by the IET Vision & Imaging TPN and the IET Healthcare TPN.

It is also sponsored by the BMVA.

Event Chairs



26 Jun 2019

Add to Calendar 06/26/2019 09:00 06/26/2019 16:30 Human Motion Analysis for Healthcare Applications Advances in technology in human motion capture have been quite remarkable during the last decade. Specialised depth sensors are now embedded even on mobile devices. Recent progress in Deep Learning allows standard video camera to capture 3D human motion. Savoy Pl, London WC2R 0BL, UK


Vision and Imaging TPN

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Antonis Argyros

Antonis Argyros

Professor of Computer Science - University of Crete

Antonis Argyros (Αντώνης Αργυρός) is a Professor of Computer Science at the Computer Science Department (CSD), University of Crete (UoC) and a researcher at the Institute of Computer Science (ICS), Foundation for Research and Technology-Hellas (FORTH) in Heraklion, Crete, Greece.

Dr Aliah Shaheen

Dr Aliah Shaheen

Senior Lecturer in Biomechanics - Brunel University London

Aliah Shaheen joined the Division of Sports Science and Exercise in Brunel University London in 2018. She is an engineer by background, holding a BEng degree in Biomedical Engineering from the University of Birmingham and graduating with a PhD in Bioengineering from Imperial College London in 2010.

Sarah Taylor

Sarah Taylor

Senior Clinical Scientist - St George's University Hospital

Sarah is team lead for the Gait Laboratory, Douglas Bader Rehabilitation Centre, Queen Mary’s Hospital. She is a registered Clinical Scientist in Clinical Engineering specialising in rehabilitation and has worked in the NHS for nearly 6 years.

Simon Yarwood

Simon Yarwood

Knowledge Transfer Manager for ICT - Knowledge Transfer Network

As Knowledge Transfer Manager for ICT, Simon leads the Energy Harvesting Special Interest Group. Prior to joining KTN, he was Head of Sector – ICT for the Institution of Engineering and Technology.


IET London: Savoy Place

2 Savoy Place
United Kingdom

The London headquarters of the IET.



Registration and refreshments


Chair’s welcome and introduction


Session 1 Chair: Dimitrios Makris


Keynote address: Markerless tracking of human motion and its applications in healthcare

Antonis Argyros, University of Crete, Greece


Probabilistic real-time user posture tracking using visual and haptic information for robot-assisted dressing

F Zhang, A Cully, Y Demiris, Imperial College London, UK

11:05 - 11:35






Poster spotlights


Action recognition using indoor radar system

S Yang, J Kernec, F Fioranelli, University of Glasgow, UK


Baggy clothing: motion amplification with loose garments

B Michael, M Howard, King’s College London, UK


Non-intrusive human activity monitoring and recognition with three infrared sensors

Y Karayaneva, S Sharifzadeh, B Tan, Y Jing, Coventry University, UK


Challenges encountered while developing the Medical Interactive Rehabilitation Assistant (MIRA)

A Calin, N Sadawi, C Grosan, MIRA Rehab Ltd, UK, Brunel University London, UK


Health boxing for cardiac rehabilitation: evaluation of cardiorespiratory and balance responses to a non-contact boxing game

D Nikoletou, M. Dudziec, D. Makris, V. Bloom, M. Papadakis, T. Quinn, Kingston University & St George’s University of London, UK, Kingston University, UK, Lotis Ltd, UK, St George’s University of London, UK


Application of skeletal pose estimation from video to clinical gait analysis in lower limb prosthetics in comparison to gold standard Vicon motion capture

T. Stone, V. Sarangi, A.I. Pelah, Cambridge University Hospitals, UK, University of York, UK


Refreshments and networking


Session 2 Chair: Dimitrios Makris


Keynote address: Something in the way she moves - the role of structural and movement variability in joint function

Aliah Shaheen, Brunel University London, UK


Continuous fall risk classification in elderly populations from inertial measurements during activities of daily living

S Lee, K Hewage, S Fosker, T Hardcastle, E Hewage, O E Armitage, BIOS Health Ltd, UK, CUSH Health Ltd, UK


Lunch and networking


Session 3 Chair: Daniel Abasolo


Keynote address: Keeping people walking - the use of movement analysis in rehabilitation

Sarah Taylor, St George’s University Hospital, UK


Rehabilitation movement correctness classification using rough path theory and long-short-term memory neural networks

N Sadawi, A Miron, C Grosan, Brunel University London, UK


Refreshments and networking


Session 4 Chair: Daniel Abasolo


Personalised post-processing of tremor measurements to detect changes in symptoms

D.G. Western, A. Davies-Smith, University of the West of England, UK, Southmead Hospital, UK


Keynote address: Innovation funding, an overview of the current landscape

Simon Yarwood, Knowledge Transfer Network, UK


Discussion and close

Programme subject to change


IET and BMVA Student Member



IET and BMVA Member



Student Non-member







  • BMVA


    The BMVA provides a national forum for individuals and organisations involved in machine vision, image processing, and pattern recognition in the United Kingdom.