The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications

Journal of NeuroEngineering and Rehabilitation

Volumn 3, Issue , 2006, Pages

  Mündermann, Lars ^a   Corazza, Stefano ^a   Andriacchi, Thomas P ^a,b,c  

^a Stanford University   (United States)

^b Bone and Joint Center   (United States)

^c STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTIFACT; BIOMECHANICS; BIOSENSOR; CLINICAL ASSESSMENT; CLINICAL PRACTICE; COMPUTER ANALYSIS; DIAGNOSTIC ACCURACY; DISEASE MARKER; EVOLUTION; FEASIBILITY STUDY; GAIT; HISTORY; HUMAN; JOINT FUNCTION; KINEMATICS; LASER SCANNING CYTOMETRY; LEG; LOCOMOTION; METHODOLOGY; MOTION; MOTOR DYSFUNCTION; MUSCULOSKELETAL DIAGNOSIS; MUSCULOSKELETAL DISEASE; NUCLEAR MAGNETIC RESONANCE IMAGING; REVIEW; RISK; THREE DIMENSIONAL IMAGING; VISION;

EID: 33748743365     PISSN: 17430003     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-3-6     Document Type: Review

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