Robust tracking of the upper limb for functional stroke assessment

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 18, Issue 5, 2010, Pages 542-550

  Allin, Sonya ^a   Baker, Nancy ^b   Eckel, Emily ^c   Ramanan, Deva ^d  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c CHATHAM UNIVERSITY   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Computer vision; functional assessment; human tracking; stroke rehabilitation

Indexed keywords

CLUTTERED SCENES; CORRELATION COEFFICIENT; FUNCTIONAL MOTIONS; HUMAN TRACKING; LIMB FUNCTIONS; MOTION CAPTURE; MOTION CAPTURE SYSTEM; PROBABILISTIC MODELS; ROBUST TRACKING; STANDARD DEVIATION; STROKE REHABILITATION; TRACKING SYSTEM; UPPER LIMBS;

COMPUTER VISION; KINEMATICS; NEUROMUSCULAR REHABILITATION; STATISTICS;

FUNCTIONAL ASSESSMENT;

AGED; ALGORITHM; ARM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MIDDLE AGED; PARALYSIS; PATHOPHYSIOLOGY; STROKE; THREE DIMENSIONAL IMAGING;

AGED; AGED, 80 AND OVER; ALGORITHMS; ARM; ARTIFICIAL INTELLIGENCE; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED; PARALYSIS; PATTERN RECOGNITION, AUTOMATED; STROKE;

EID: 77957917734     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2010.2047267     Document Type: Article

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