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Research project

StrokeBack - EU FP7 - Prof. K Maharatna - 1846612

Staff

Lead researchers

Professor Koushik Maharatna PhD

Prof Signal Processing System Design
Connect with Koushik

Email: km3@ecs.soton.ac.uk

Other researchers

Professor Bashir Al-Hashimi CBE, FREng, FIEEE, FIET, FBCS

Research interests

  • Energy-efficient mobile computing systems
  • Low-power test and test-data compression of digital integrated circuits and energy-harvesting computing
  • Wearable and Autonomous Computing for Future Smart Cities
Connect with Bashir

Email: bmah@ecs.soton.ac.uk

Professor Neil White BSc, PhD, DSc, CEng, CPhys, FIET, FInstP, SMIEEE

Professor in Intelligent Sensor Systems

Research interests

  • Medical sensors
  • Intelligent sensor systemS
  • Energy harvesting
Connect with Neil

Email: nmw@ecs.soton.ac.uk

Professor Nicholas Harris

Professor
Connect with Nicholas

Email: nrh@ecs.soton.ac.uk

Collaborating research institutes, centres and groups

Research outputs

Low-complexity framework for movement classification using body-worn sensors
Dwaipayan Biswas, Koushik Maharatna, Goran Panic, Evangelos B. Mazomenos, Josy Achner, Jasmin Klemke, Michael Jöbges & Steffen Ortmann, 2017, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1-12
DOI: 10.1109/TVLSI.2016.2641046
Type: article
A CORDIC-based low-power statistical feature computation engine for WSN applications
Dwaipayan Biswas & Koushik Maharatna, 2015, Circuits, Systems & Signal Processing
DOI: 10.1007/s00034-015-0041-5
Type: article
Recognizing upper limb movements with wrist worn inertial sensors using k-means clustering classification
Dwaipayan Biswas, Andy Cranny, Nayaab Gupta, Koushik Maharatna, Josy Achner, Jasmin Klemke, Michael Jobges & Steffen Ortmann, 2015, Human Movement Science, 40, 59-76
DOI: 10.1016/j.humov.2014.11.013
Type: article
On the data analysis for classification of elementary upper limb movements
Dwaipayan Biswas, Andy Cranny, Ahmed F. Rahim, Nayaab Gupta, Koushik Maharatna, Nick Harris & Steffen Ortmann, 2015, Biomedical Engineering Letters, 4(4), 403-413
DOI: 10.1007/s13534-014-0160-0
Type: article
Recognition of upper limb movements for remote health monitoring
2014, The IEEE Intelligent Informatics Bulletin, 15(1)
Type: article