This paper provides a comparative study on the different techniques of classifying human activities that are performed using bodyworn miniature inertial and magnetic sensors. The classification techniques implemented and compared in this study are: Bayesian decision making (BDM), the least-squares method (LSM), the k-nearest neighbor algorithm (k-NN), dynamic time warping (DTW), support vector ...

We report on the design and performance of a highly sensitive combined He/Cs magnetometer for the absolute measurement of magnetic fields. The magnetometer relies on the magnetometric detection of the free spin precession of nuclear spin polarized He gas by optically pumped cesium magnetometers. We plan to deploy this type of combined magnetometer in an experiment searching for a permanent elec...

A long-standing solar problem has been to measure the coronal magnetic field. We believe it determines the coronal structure and dynamics from the upper chromosphere out into the heliospheric environment. It is only recently that Zeeman splitting observations of infrared coronal emission lines have been successfully used to deduce the coronal magnetic flux density. Here we extend this technique...

Wearable devices for fall detection have received attention in academia and industry, because falls are very dangerous, especially for elderly people, and if immediate aid is not provided, it may result in death. However, some predictive devices are not easily worn by elderly people. In this work, a huge dataset, including 2520 tests, is employed to determine the best sensor placement location ...

This paper describes a method for estimating wind field (wind velocity, rate of change of wind velocity and wind gradient) for small and mini unmanned aerial vehicles. The approach utilizes sensors which are already part of a standard autopilot sensor suite (GPS, inertial measurement unit, airspeed, magnetometer). The primary motivation is enabling energy harvesting; a secondary motivation is d...

The disturbing effect of the stray magnetic fields of Fe-based amorphous ribbons on the giant magnetoimpedance (GMI) sensor has been investigated systematically in this paper. Two simple methods were used for examining the disturbing effect of the stray magnetic fields of ribbons on the GMI sensor. In order to study the influence of the stray magnetic fields on the GMI effect, the square-shaped...

The GOES satellites are multifunctional satellites whose primary function is to provide continuous measurements of the earth’s surface and atmosphere from two geostationary orbit locations: 75EW and 135EW. This objective is accomplished with the Visible infrared spin scan radiometer Atmospheric Sounder (VAS). The atmospheric sounder is a new feature which will add a third dimension to the photo...

• We present a first benchmark of HuMIdb, publicly available HCI database. evaluate touchscreen and background sensor data for mobile passive authentication. train recurrent neural network with triplet loss each individual modality. A multimodal system is achieved through the fusion modalities at score level. Our results show suitability behavioral biometrics Current user authentication systems...

Defect detection in conductive plates represents an important issue. This work presents designed and implemented uniform eddy current probe architecture (UECP) that includes a planar excitation coil and a GMR magnetometer sensor array as part of a non-destructive testing (NDT) system developed using a virtual instrument system technology. The usage of GMR sensors provides frequency independent ...

A realtime Augmented Reality binocular for the assistance of nautical staff is presented. AR systems combine the real environment with additional information. Nautical sea chart data is used to superimpose information into views with a magnification factor of 7 which cause a big effect on directional errors in the augmentation. We discuss the system requirements and present an analysis of the h...