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Estimation of foot orientation with respect to ground for an above knee robotic prosthesis

Glauco Garcia Scandaroli, Geovany A. Borges, João Y. Ishihara, Adson Ferreira da Rocha, Francisco Assis de Oliveira Nascimento

Year
2009
Citations
15

Abstract

This paper presents a new application in the field of rehabilitation robotics. It is part of a research project which consists of the development of a robotic leg prosthesis for above knee amputees. This application aims at providing real-time estimates of the prosthesis foot orientation with respect to ground. An Extended Kalman Filter (EKF) is used in order to estimate the foot orientation based on gyroscope and infrared measurements. Moreover a constraint equation is also included in the EKF to guarantee the constraints in the estimates. Preliminary tests were performed in a platform built for the prosthesis prototype. The results discussed in this paper reveal the feasibility of such technique.

Keywords

Extended Kalman filterOrientation (vector space)Kalman filterRoboticsProsthesisGround truthComputer scienceArtificial intelligenceGyroscopeRobot

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