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In addition, we also provide technologies to estimate orientation with Magnetometer and Gyroscope and detect context with output of sensors.
The paper itself is partially focused on the first part of the project, 6DOF inertial measurement unit and on some algorithms to estimate orientation in space.
In the following three sections, we will introduce the detailed methods of our proposed system, including how to collect sensing data, remove noises, estimate orientation, calculate distance and position, build the predication model, detect landmark, and calibrate the location.
A population of the talitrid amphipod Talitrus saltator (Montagu, 1808) was investigated on an exposed sandy beach on the Atlantic coast of Portugal (Leirosa beach) to estimate orientation capabilities and endogenous rhythms in conditions of recent changes in the landscape (artificial reconstruction of the foredune) and beach morphodynamics (stabilization against erosion from the sea).
The numerical procedure could be many times faster, if a more efficient method to estimate orientation selectivity could be employed.
Using the phase information derived from the Fourier analysis to estimate orientation preferences of activated voxels, we quantitatively investigated global distribution features of individual voxels' orientation preferences.
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The estimated orientation distribution closely agrees with that experimentally observed.
Then, an estimated orientation is built by integrating gyroscopic readings, and corrected by the measured one.
In the following sensor fusion process, the estimated orientation and measured orientation in EKF are based on gyroscope and a combination of accelerometer and magnetometer.
Estimated orientations of σ 1 and σ 3 axes are shown in Figure 1a.
A fast algorithm for computing the best orientations based on a hierarchical compressed sensing algorithm and a novel metric for comparing estimated orientations are also proposed.
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