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Pervasive Computing Group
  

The Pervasive Computing group is a one of the sub-groups of the Visual Information Processing group, and it focuses mainly on developing pervasive computing algorithms and technologies for health care, sports and well-being applications. 
 
It has led and involved in a number of large scale EPSRC, TSB and EC funded projects, such as Sports-BSN, Biosensornet, SAPHE, WASP, and CAPSIL.  The objectives of the projects are to address the general issues related to using wearable, implantable and vision sensors in pervasive health care, well-being and sports applications.
The Pervasive Computing group consists of a group of talented researchers and engineers with a wide range of expertise, ranging from analog processing, microelectronic design to wireless networking, machine learning, and computer vision.

Research focus:

  • Body Sensor Networks
  • Pervasive Sensing
  • Machine Learning
  • Computer Vision
  • Distributed Inferencing
  • Wireless Sensor Networks
  • Wireless Sensor Networks
  • Data Mining
  • Data Visualization
  • Autonomic Sensing
  • Robotic Assisted Living
          Details...

Publications...

Members

  • Dr. Benny Lo (group leader)
  • Dr. Jindong Liu
  • Dr. Zhiqiang Zhang 
  • Dr. Joshua Ellul
  • Dr. Pawel Prociow
  • Dr. Delaram Jarchi
  • Dr. Nancy Panousopoulou
  • Dr. Pawel  Bembnowicz
  • Dr. Blair Crewther 
  • Mr. Raza Ali 
  • Mr. James Patterson
  • Mr. Edward Johns
  • Mr. Charence Wong
  • Mr. Stephen McKeague
  • Mr. Javier Correa Villanueva
  • Mr. Richard Kwasnicki
  • Mr. Stephen Matthews

Former Members