Motion tracking based on commercial inertial measurements units (IMUs) has been widely
studied in the latter years as it is a cost-effective enabling technology for those applications …

With the advancements in micro-electromechanical systems (MEMS) technologies, magnetic
and inertial sensors are becoming more and more accurate, lightweight, smaller in size as …

Limb motion capture is essential in human motion-recognition, motor-function assessment
and dexterous human-robot interaction for assistive robots. Due to highly dynamic nature of …

Orientation estimation using low cost sensors is an important task for Micro Aerial Vehicles
(MAVs) in order to obtain a good feedback for the attitude controller. The challenges come …

Technological developments over the past two decades have resulted in the development of
more accurate and lightweight low-cost magnetic and inertial measurement units (MIMUs) …

The orientation of a magneto and inertial measurement unit (MIMU) is estimated by means
of sensor fusion algorithms (SFAs) thus enabling human motion tracking. However, despite …

This paper proposes a novel quaternion-based attitude estimator with magnetic, angular
rate, and gravity (MARG) sensor arrays. A new structure of a fixed-gain complementary filter …

Real-time orientation estimation using low-cost inertial sensors is essential for all the
applications where size and power consumption are critical constraints. Such applications …

Attitude estimation is the process of computing the orientation angles of an object with
respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are …

Focusing on generalized sensor combinations, this paper deals with the attitude estimation
problem using a linear complementary filter (CF). The quaternion observation model is …