A MEMS device includes a first MEMS sensor associated with a first spatial plane and a second MEMS sensor is associated with a spatial second plane not co-planar with the first spatial plane, wherein the first MEMS sensor is configured to provide a first interrupt and a first data in response to a physical perturbation, wherein the second MEMS sensor is configured to provide a second interrupt and second data in response to the physical perturbation, and a controller configured to receive the first interrupt at a first time and the second interrupt at a second time different from the first time, wherein the controller is configured to determine a latency between the first time and the second time, and wherein the controller is configured to determine motion data in response to the first data, to the second data, and to the latency.

Hybrid terrain-adaptive lower-extremity apparatus and methods that perform in a variety of different situations by detecting the terrain that is being traversed, and adapting to the detected terrain. In some embodiments, the ability to control the apparatus for each of these situations builds upon five basic capabilities: (1) determining the activity being performed; (2) dynamically controlling the characteristics of the apparatus based on the activity that is being performed; (3) dynamically driving the apparatus based on the activity that is being performed; (4) determining terrain texture irregularities (e.g., how sticky is the terrain, how slippery is the terrain, is the terrain coarse or smooth, does the terrain have any obstructions, such as rocks) and (5) a mechanical design of the apparatus that can respond to the dynamic control and dynamic drive.

Hybrid terrain-adaptive lower-extremity apparatus and methods that perform in a variety of different situations by detecting the terrain that is being traversed, and adapting to the detected terrain. In some embodiments, the ability to control the apparatus for each of these situations builds upon five basic capabilities: (1) determining the activity being performed; (2) dynamically controlling the characteristics of the apparatus based on the activity that is being performed; (3) dynamically driving the apparatus based on the activity that is being performed; (4) determining terrain texture irregularities (e.g., how sticky is the terrain, how slippery is the terrain, is the terrain coarse or smooth, does the terrain have any obstructions, such as rocks) and (5) a mechanical design of the apparatus that can respond to the dynamic control and dynamic drive.

Provided is a method for performing a wind direction measurement for a wind turbine, the method including: measuring plural sample pairs, each pair including a measured relative wind direction and an associated performance quantity, the measured relative wind direction representing a measurement result of measuring a difference angle between a real wind direction and an orientation of a measurement equipment, in particular a direction orthogonal to a rotor blade plane, the performance quantity indicating a performance of the wind turbine; evaluating a degree of asymmetry of the performance quantity with respect to a measured relative wind direction equal to zero; measuring a further relative wind direction; and correcting the further measured relative wind direction based on the degree of asymmetry.

Provided is a method for performing a wind direction measurement for a wind turbine, the method including: measuring plural sample pairs, each pair including a measured relative wind direction and an associated performance quantity, the measured relative wind direction representing a measurement result of measuring a difference angle between a real wind direction and an orientation of a measurement equipment, in particular a direction orthogonal to a rotor blade plane, the performance quantity indicating a performance of the wind turbine; evaluating a degree of asymmetry of the performance quantity with respect to a measured relative wind direction equal to zero; measuring a further relative wind direction; and correcting the further measured relative wind direction based on the degree of asymmetry.

Various embodiments of the invention provide for automatic, real-time bias detection and error compensation in inertial MEMS sensors often used in handheld devices. Real-time bias correction provides for computational advantages that lead to optimized gyroscope performance without negatively affecting user experience. In various embodiments, bias non-idealities are compensated by utilizing raw output data from the gyroscope itself without relying on additional external sensors.

Various embodiments of the invention provide for automatic, real-time bias detection and error compensation in inertial MEMS sensors often used in handheld devices. Real-time bias correction provides for computational advantages that lead to optimized gyroscope performance without negatively affecting user experience. In various embodiments, bias non-idealities are compensated by utilizing raw output data from the gyroscope itself without relying on additional external sensors.

A method for operating a micromechanical z-accelerometer. The method includes applying a test signal to an electrode in order to induce a defined displacement of a rocker of the z-accelerometer during operation of the z-accelerometer; detecting the displacement of the rocker and converting the displacement into an acceleration value; and evaluating the acquired acceleration value by determining a difference between the acquired acceleration value and an initial acceleration value acquired in a manufacturing process, a difference between the acquired acceleration value and the initial acceleration value being compared to a defined threshold value and assessed.

A method for operating a micromechanical z-accelerometer. The method includes applying a test signal to an electrode in order to induce a defined displacement of a rocker of the z-accelerometer during operation of the z-accelerometer; detecting the displacement of the rocker and converting the displacement into an acceleration value; and evaluating the acquired acceleration value by determining a difference between the acquired acceleration value and an initial acceleration value acquired in a manufacturing process, a difference between the acquired acceleration value and the initial acceleration value being compared to a defined threshold value and assessed.

In a method for checking the plausibility of sensor signals, a first sensor element detects at least one first physical quantity and outputs it as a first sensor signal, and a second sensor element detects a second physical quantity correlated with the first physical quantity and outputs it as a second sensor signal. The first sensor element has a first reliability range having an upper limit and/or a lower limit, which range is related to the second physical quantity. The first physical quantity detected by the first sensor element is recognized as plausible if the second physical quantity detected by the second sensor element lies within the corresponding first reliability range of the first sensor element.