Published on in Vol 2, No 1 (2015): Jan-Jun

Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision

Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision

Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision

Cecily Morrison   1 * , PhD ;   Marcus D'Souza   2 * , MD ;   Kit Huckvale   1, 3 * , MB ChB,MSc ;   Jonas F Dorn   4 , PhD ;   Jessica Burggraaff   5 , MD ;   Christian Philipp Kamm   6 , MD ;   Saskia Marie Steinheimer   6 , MD ;   Peter Kontschieder   7 , PhD ;   Antonio Criminisi   7 , PhD ;   Bernard Uitdehaag   5 , MD ;   Frank Dahlke   4 , MD,PhD ;   Ludwig Kappos   2 , MD ;   Abigail Sellen   1 , PhD

1 Microsoft Research, Human Experience & Design, Cambridge, United Kingdom

2 Neurology, Department of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, Basel, Switzerland

3 Global eHealth Unit, Imperial College London, London, United Kingdom

4 Novartis Pharma AG, Basel, Switzerland

5 VU University Medical Center, Amsterdam, Netherlands

6 Department of Neurology, University Hospital Bern, Bern, Switzerland

7 Microsoft Research, Machine Learning and Perception, Cambridge, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Cecily Morrison, PhD
  • Microsoft Research
  • Human Experience & Design
  • 21 Station Road
  • Cambridge
  • United Kingdom
  • Phone: 44 1223 479951
  • Fax: 44 1223 479700
  • Email: cecilym@microsoft.com