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Extracting Behaviour from Activity for Wellness Monitoring

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Keynote
  • Session
  • Thursday, 19 May 2016
  • 11:19 - 11:19
  • Duration: 40 mins
  • Publication date: 25 May 2016
  • Location: Blumlein Room, IET London: Savoy Place, London, United Kingdom
  • Part of event Human Motion Analysis for Healthcare Applications

About the session

Advances in technology that capture human motion have been quite remarkable during the last five years. New sensors have been developed, such as the Microsoft Kinect, Asus Xtion Pro live, PrimeSense Carmine and Leap Motion. Their main advantages are their non-intrusive nature, low cost and widely available support for developers offered by large corporations or Open Communities. Although they were originally developed for computer games, they have inspired numerous healthcare related ideas and projects 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 tele-surgery system. Human motion analysis may also be used to diagnose a range of mental and physical diseases and conditions.

This event discussed recent advances in human motion sensing and provide an application to healthcare for networking and exploring potential synergies and collaborations.

Keywords:
  • AART
  • Biomedical Engineering
  • Biomedicine
  • Connected Devices
  • Exercise
  • Healthy Living
  • Illness management
  • Implanted Devices
  • Laptops
  • Monitoring Technology
  • RFID Tattoos
  • Smart Clothes
  • Smart Watch
  • Smartphone
  • Tablets
  • VI
  • Vision & Imaging TPN
  • Wearable Technology
  • Wellness Monitoring

Channels

Communities

Communities

Electronics

Electronics

Health care

Health care

Speaker

  • Prof. Christopher J. James

    Prof. Christopher J. James

    Warwick Engineering in Biomedicine, Professor of Biomedical Engineering, Director,

    Professor James is a biomedical engineer and neuroscientist, and his research activity centers on the development of biomedical signal and pattern processing techniques, as well as the use of technological innovations, for use in advancing healthcare and promoting wellbeing. He works specifically in Neural Engineering, to date his work has concentrated on the development of advanced processing techniques applied to the analysis of the electromagnetic activity of the human brain, primarily in Brain-Computer Interfacing. He is particularly interested in developing low cost, useable BCI interfaces for establishing communication in extreme BCI conditions such as locked-in syndrome. He is also interested in monitoring behaviour through activity monitoring and has developed wrist-worn activity monitoring programmes using an off-the-shelf Smart Watch and has applied this work in the areas of mental health, active and healthy ageing and now is assistive and rehabilitative technologies. Professor James has published over 160 papers in varied biomedical engineering journals and refereed conferences. In 2013 Prof James was awarded the prestigious Sir Monty Finniston Achievement Medal by the IET., and in 2012 the IEEE MGA Award for his work with biomedical engineering students. He is founding editor-in-chief of the IET Healthcare Technology Letters Journal.
biomedical engineering biomedical equipment biomedical measurement health care
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