Optimality principles for model-based prediction of human gait

Journal of Biomechanics

Volumn 43, Issue 6, 2010, Pages 1055-1060

  Ackermann, Marko ^a   van den Bogert, Antonie J ^a  

^a LERNER RESEARCH INSTITUTE   (United States)

Author keywords

Gait; Musculoskeletal modeling; Optimal control; Simulation

Indexed keywords

COLLOCATION METHOD; ENERGY-RELATED COSTS; GAIT PATTERN; HUMAN GAIT; KNEE FLEXIONS; MINIMAL ENERGY; MODEL-BASED PREDICTION; MUSCULOSKELETAL MODEL; MUSCULOSKELETAL MODELING; OPTIMAL CONTROL PROBLEM; OPTIMAL CONTROLS; OPTIMALITY PRINCIPLE; PERFORMANCE CRITERION; PROSTHETIC DEVICES; STANCE PHASE;

OPTIMIZATION;

COST FUNCTIONS;

ARTICLE; CONTROLLED STUDY; ENERGY CONSUMPTION; GAIT; GROUND REACTION FORCE; HUMAN; KINEMATICS; KNEE FUNCTION; MATHEMATICAL MODEL; MUSCLE FATIGUE; MUSCULOSKELETAL FUNCTION; NEUROPHYSIOLOGICAL RECRUITMENT; NONBIOLOGICAL MODEL; PREDICTION; PRIORITY JOURNAL; PROCESS MODEL; PROCESS OPTIMIZATION; STANDING;

ANKLE JOINT; BIOMECHANICS; GAIT; HIP JOINT; HUMANS; KNEE JOINT; MODELS, BIOLOGICAL; MUSCLE FATIGUE; MUSCULOSKELETAL PHYSIOLOGICAL PROCESSES;

EID: 77950691945     PISSN: 00219290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2009.12.012     Document Type: Article

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