Statistical method for prediction of gait kinematics with Gaussian process regression

Journal of Biomechanics

Volumn 47, Issue 1, 2014, Pages 186-192

  Yun, Youngmok ^a   Kim, Hyun Chul ^b   Shin, Sung Yul ^b   Lee, Junwon ^b   Deshpande, Ashish D ^a   Kim, Changhwan ^b  

^a The University of Texas at Austin   (United States)

^b Korea Institute of Science and Technology   (South Korea)

Author keywords

Gait pattern; Gaussian process regression; Statistics; Stochastic analysis

Indexed keywords

ANTHROPOMETRY; FORECASTING; GAIT ANALYSIS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); REGRESSION ANALYSIS; STATISTICS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

ANTHROPOMETRIC MEASUREMENT; CROSS-VALIDATION METHODS; GAIT PATTERN; GAUSSIAN PROCESS REGRESSION; MOTION CAPTURE SYSTEM; STOCHASTIC ANALYSIS; STOCHASTIC APPROACH; STOCHASTIC FUNCTIONS;

KINEMATICS;

ADULT; AGED; ALGORITHM; ANALYTICAL PARAMETERS; ARTICLE; BODY HEIGHT; BODY PARAMETERS; BODY WEIGHT; FEMALE; GAIT; HUMAN; HUMAN EXPERIMENT; KERNEL METHOD; KINEMATICS; MALE; METHODOLOGY; NORMAL HUMAN; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; STOCHASTIC MODEL; WALKING SPEED;

GAIT PATTERN; GAUSSIAN PROCESS REGRESSION; STATISTICS; STOCHASTIC ANALYSIS;

ADULT; ALGORITHMS; BIOMECHANICAL PHENOMENA; FEMALE; GAIT; HUMANS; JOINTS; MALE; MIDDLE AGED; MODELS, ANATOMIC; MODELS, STATISTICAL; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; STOCHASTIC PROCESSES;

EID: 84890856911     PISSN: 00219290     EISSN: 18732380     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2013.09.032     Document Type: Article

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