The objective of this study was to evaluate the accuracy of various sensor fusion algorithms
for measuring upper arm elevation relative to gravity (ie, angular displacement and velocity …

Background: The cause of frequent falls in patients with Alzheimer's disease (AD) is still not
well understood. Nevertheless, balance control and sensory organization are known to be …

This paper focuses on the use of low-cost inertial sensors in industrial manipulators. In
particular, an easy-to-install joint-angle estimation method is proposed. This scheme can …

Clinicians tailor intervention in chronic pain rehabilitation to movement related self-efficacy
(MRSE). This motivates us to investigate automatic MRSE estimation in this context towards …

When a robot is working properly, it is possible to collide with people or objects entering its
working space. This research is different than usual control algorithm. It proposes a …

This article focuses on the use of low-cost micro-electromechanical systems (MEMS)
magnetic, angular rate, and gravity (MARG) sensors in the field of estimating the joint angles …

A gravity-referenced joint angle estimation approach is proposed for multiple-degree-of-
freedom hydraulic manipulators. The approach is built solely upon easy-to-install linear …

The paper proposes a novel approach for shape sensing of hyper-redundant robots based
on an AHRS IMU sensor network embedded into the structure of the robot. The proposed …

A gravity-referenced joint angle estimation, which acts in joint space, is proposed for multiple-
degree-of-freedom hydraulic manipulators. As a novelty, the estimation pairs up inertial units …

This article addresses the problem of state estimation of controlled affine nonlinear systems
in the presence of disturbances and uncertainties in the state equation. The proposed …