L
Lissan Afilal
Researcher at University of Reims Champagne-Ardenne
Publications - 40
Citations - 621
Lissan Afilal is an academic researcher from University of Reims Champagne-Ardenne. The author has contributed to research in topics: Accelerometer & Gyroscope. The author has an hindex of 12, co-authored 40 publications receiving 566 citations. Previous affiliations of Lissan Afilal include Control Group.
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Complementary Observer for Body Segments Motion Capturing by Inertial and Magnetic Sensors
TL;DR: In this paper, a quaternion-based complementary observer (CO) was designed for rigid body attitude estimation without resorting to GPS data, which is an alternative one to overcome the limitations of the extended Kalman filter.
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A Nonlinear Filtering Approach for the Attitude and Dynamic Body Acceleration Estimation Based on Inertial and Magnetic Sensors: Bio-Logging Application
TL;DR: In this article, a quaternion-based nonlinear filter with the Levenberg Marquardt Algorithm (LMA) was proposed for rigid body orientation and dynamic body acceleration estimation.
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Control system design of a 3-DOF upper limbs rehabilitation robot
TL;DR: This paper presents the control system design of a rehabilitation and training robot for the upper limbs based on a hierarchical structure, which allows the execution of sequence of switching control laws corresponding to the required training configuration.
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A system approach for control development of lower-limbs training machines
TL;DR: In this article, the authors present an approach for the specification and design of the control system of a machine for training and rehabilitation of lower limbs, based on the use of an object extension of Statecharts.
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Posture and body acceleration tracking by inertial and magnetic sensing: Application in behavioral analysis of free-ranging animals
TL;DR: The main idea of the proposed approach combines a quaternion-based nonlinear observer with an Iterated Least Squares Algorithm (ILSA) and exploits measurements from Micro-Electro-Mechanical-System (MEMS) sensors to produce attitude estimates during the entire range of the observed animal's body movements.