Methods and systems for tilt and acceleration measurement based on hall effect sensors and artificial neural network algorithms
Abstract:
A sensor detects tilt and/or accelerations simultaneously and in a plurality of directions. The exemplary sensor comprises a magnet which is allowed to move in multiple directions within a space about which a plurality of Hall-effect sensors are arrayed. The magnet is mounted by a plurality of springs which limit the displacement of the magnet to the space within the circle of sensors. Continuous signals from the sensors change in response to a changing position of the magnet. These signals are evaluated by an artificial neural network (ANN) taught using validated tilt sensors. Angle and acceleration values are cleaned from vibration values using a Kalman filter.
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