Lightweight and low-cost wearable magnetic and inertial measurement units (MIMUs) have
found numerous applications, such as aerial vehicle navigation or human motion analysis …

Sensors are an essential component of many computer systems today. Mobile devices are a
good example, containing a vast array of sensors from accelerometers and GPS units, to …

Magnetic field matching (MFM) positioning is one of the mainstream methods of consumer
indoor positioning, which has attracted great attention from academia and industry …

This paper presents the Quaternion-based Robust Adaptive Unscented Kalman Filter
(QRAUKF) for attitude estimation. The proposed methodology modifies and extends the …

We investigate the precision of attitude estimation algorithms in the particular context of
pedestrian navigation with commodity smartphones and their inertial/magnetic sensors. We …

Accurate attitude for wearable devices and smartphones is needed for many applications.
The major challenge is to cope with the acceleration resulting from the user or smartphone …

Many applications in the context of Industry 4.0 require precise localization. However, indoor
localization remains an open problem, especially in complex environments such as …

In the future, vehicles and other traffic participants will be interconnected and equipped with
various types of sensors, allowing for cooperation on different levels, such as situation …

This paper presents two approaches to assess the effect of the number of inertial sensors
and their location placements on recognition of human postures and activities. Inertial and …

We propose a novel noniterative orientation estimation method based on the physical and
geometrical properties of the acceleration, angular rate, and magnetic field vectors to …