Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease

Gait and Posture

Volumn 39, Issue 4, 2014, Pages 1062-1068

  Galna, Brook ^a   Barry, Gillian ^a   Jackson, Dan ^b   Mhiripiri, Dadirayi ^a   Olivier, Patrick ^b   Rochester, Lynn ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Accuracy; Microsoft kinect; Parkinson's disease; Validity

Indexed keywords

AGED; AGILITY; ARTICLE; BODY MOVEMENT; CHAIR RISING; CLINICAL ARTICLE; CONTROLLED STUDY; DIMENSIONAL MEASUREMENT ACCURACY; ELECTRONIC SENSOR; FEMALE; FINGER TAPPING; FOOT; HAND CLASPING; HAND MOVEMENT; HAND PRONATION; HUMAN; LEG AGILITY; MALE; MOTION ANALYSIS SYSTEM; MULTIDIRECTIONAL REACHING; OUTCOME ASSESSMENT; PARKINSON DISEASE; PRIORITY JOURNAL; QUIET STANDING; STANDING; STEPPING; UNIFIED PARKINSON DISEASE RATING SCALE; WALKING;

ACCURACY; MICROSOFT KINECT; PARKINSON'S DISEASE; VALIDITY;

ADULT; CASE-CONTROL STUDIES; ELBOW JOINT; FEMALE; HAND; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LOWER EXTREMITY; MALE; MIDDLE AGED; MOVEMENT; PARKINSON DISEASE; PRONATION; SHOULDER JOINT; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; SUPINATION; TORSO;

EID: 84897109909     PISSN: 09666362     EISSN: 18792219     Source Type: Journal    
DOI: 10.1016/j.gaitpost.2014.01.008     Document Type: Article

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