Patent ID: 7684954

Claim:
A method comprising: training a classifier device using learning obtained from a plurality of training algorithms each adapted to differentiate between states of physical orientation of an object in response to input data from a tri-axial accelerometer; wherein at least two of the training algorithms are trained using data from the tri-axial accelerometer when the tri-axial accelerometer is mounted on the object at non-ideal mount angles relative to an ideal mount angle having one axis of the tri-axial accelerometer aligned with a gravitational vector; and wherein the classifier device is trained to distinguish between the states of the object to which the tri-axial accelerometer device is mounted based on data collected from the tri-axial accelerometer device mounted at one or more of a plurality of respective angles with respect to the ideal mount angle on the object, wherein the plurality of respective angles are in the range of −180 degrees to +180 degrees.