Usability and acceptability of ASSESS MS: Assessment of motor dysfunction in multiple sclerosis using depth-sensing computer vision

JMIR Human Factors

Volumn 2, Issue 1, 2015, Pages

  Morrison, Cecily ^a   D'Souza, Marcus ^b   Huckvale, Kit ^a,c   Dorn, Jonas F ^d   Burggraaff, Jessica ^e   Kamm, Christian Philipp ^f   Steinheimer, Saskia Marie ^f   Kontschieder, Peter ^a   Criminisi, Antonio ^a   Uitdehaag, Bernard ^e   Dahlke, Frank ^d   Kappos, Ludwig ^b   Sellen, Abigail ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

^b UNIVERSITY HOSPITAL BASEL   (Switzerland)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d NOVARTIS PHARMA AG   (Switzerland)

^e VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^f UNIVERSITY OF BERN   (Switzerland)

Author keywords

Depth sensing computer vision; Information interfaces and presentation; Kinect; Motor skills; Multiple sclerosis; Rehabilitation

Indexed keywords

EID: 84991946222     PISSN: None     EISSN: 22929495     Source Type: Journal    
DOI: 10.2196/humanfactors.4129     Document Type: Article

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