Automated detection of gait initiation and termination using wearable sensors

Medical Engineering and Physics

Volumn 35, Issue 12, 2013, Pages 1713-1720

  Novak, Domen ^a   Reberšek, Peter ^a   De Rossi, Stefano Marco Maria ^b   Donati, Marco ^b   Podobnik, Janez ^a   Beravs, Tadej ^a   Lenzi, Tommaso ^b   Vitiello, Nicola ^b   Carrozza, Maria Chiara ^b   Munih, Marko ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b SCUOLA SUPERIORE SANT ANNA   (Italy)

Author keywords

Gait analysis; Machine learning; Motion intention detection; Wearable sensors

Indexed keywords

AUTOMATED DETECTION; GROUND REACTION FORCES; INERTIAL MEASUREMENT UNIT; JOINT ANGULAR VELOCITY; MOTION INTENTION; SUPERVISED MACHINE LEARNING; TERMINATION DETECTION; WEARABLE SENSORS;

BIOPHYSICS; LEARNING ALGORITHMS; LEARNING SYSTEMS; SENSORS; UNITS OF MEASUREMENT;

GAIT ANALYSIS;

ACCELEROMETER; ACCURACY; ADULT; ALGORITHM; ARTICLE; AUTOMATION; BODY JOINT ANGLE; CENTER OF PLANTAR PRESSURE; GAIT; GENERAL DEVICE; GROUND REACTION FORCE; GYROSCOPE; HUMAN; HUMAN EXPERIMENT; JOINT ANGULAR VELOCITY; MACHINE LEARNING; MAGNETOMETER; MALE; MOTION ANALYSIS SYSTEM; MUSCULOSKELETAL SYSTEM PARAMETERS; NORMAL HUMAN; PRIORITY JOURNAL; SENSOR; WEARABLE SENSOR;

GAIT ANALYSIS; MACHINE LEARNING; MOTION INTENTION DETECTION; WEARABLE SENSORS;

ADULT; AUTOMATION; BIOMECHANICAL PHENOMENA; GAIT; HUMANS; MALE; MONITORING, AMBULATORY; TIME FACTORS;

EID: 84889586130     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2013.07.003     Document Type: Article

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