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The Sphere Project - A Computer Vision Perspective

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CPD This content can contribute towards your Continuing Professional Development (CPD) as part of the IET's CPD Monitoring scheme.
Keynote
  • Session
  • Thursday, 19 May 2016
  • 15:19 - 15:19
  • Duration: 52 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 will discuss recent advances in human motion sensing and provide an application to healthcare for networking and exploring potential synergies and collaborations.

Keywords:
  • Computer Vision
  • Energy Havesting
  • Healthcare in Residential Environment
  • KCF
  • Kernelized Correlation Filters
  • OpenNi
  • Person Detection
  • Respitatory Monitoring
  • Sensor platform
  • The Sphere Project

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Electronics

Electronics

Health care

Health care

Speaker

  • Prof. Majid Mirmehdi

    Prof. Majid Mirmehdi

    University of Bristol, Department of Computer Science, Professor of Computer Vision

    Majid Mirmehdi is a Professor of Computer Vision in the Department of Computer Science at the University of Bristol. He is also the Graduate Dean and Graduate Education Director in the Faculty of Engineering at the University. His research interests include natural scene analysis and medical imaging, and he has more than 170 refereed conference and journal publications in these and other areas of computer vision. He was elected a Fellow of the International Association for Pattern Recognition in 2010. He is Editor-in-Chief of IET Computer Vision journal and an Associate Editor of the Pattern Analysis and Applications journal. He is a Senior Member of IEEE, and serves on the Executive Committee of the British Machine Vision Association and the IET Vision and Imaging Network.
biomedical electronics biomedical equipment biomedical engineering health care
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