Identification of Noise Covariance Matrices to Improve Orientation Estimation by Kalman Filter.

Nez, Alexis; Fradet, Laetitia; Marin, Frédéric; Monnet, Tony; Lacouture, Patrick

Nez, Alexis; Fradet, Laetitia; Marin, Frédéric; Monnet, Tony; Lacouture, Patrick.

Afiliação

Nez A; Prime Institute, CNRS-University of Poitiers-ENSMA, UPR 3346, Robotics, Biomechanics, Sport and Health Team, 86360 Chasseneuil du Poitou, France. alexis.nez@ac-reims.fr.
Fradet L; Prime Institute, CNRS-University of Poitiers-ENSMA, UPR 3346, Robotics, Biomechanics, Sport and Health Team, 86360 Chasseneuil du Poitou, France. laetitia.fradet@univ-poitiers.fr.
Marin F; Laboratoire de Biomécanique et Bioingénierie, UMR CNRS 7338, Université de Technologie de Compiègne, 60203 Compiègne, France. frederic.marin@utc.fr.
Monnet T; Prime Institute, CNRS-University of Poitiers-ENSMA, UPR 3346, Robotics, Biomechanics, Sport and Health Team, 86360 Chasseneuil du Poitou, France. tony.monnet@univ-poitiers.fr.
Lacouture P; Prime Institute, CNRS-University of Poitiers-ENSMA, UPR 3346, Robotics, Biomechanics, Sport and Health Team, 86360 Chasseneuil du Poitou, France. patrick.lacouture@univ-poitiers.fr.

Sensors (Basel) ; 18(10)2018 Oct 16.

Article em En | MEDLINE | ID: mdl-30332842

Palavras-chave

Kalman filter; covariance matrices; human motion analysis; inertial sensors; orientation measurement

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2018 Tipo de documento: Article País de afiliação: França

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