Apparatus and method for classification of physical orientation
First Claim
1. A method comprising:
- a classifier 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 an tri-axial accelerometer wherein at least two of the training algorithms are trained using data from an accelerometer mounted at a non-ideal angle; and
wherein the classifier is trained to distinguish between the desired states from data collected from an tri-axial accelerometer device mounted at a plurality of respective angles with respect to a optimal axis on the object, wherein the angles are in the range of −
180 degrees to +180 degrees.
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Abstract
A state classifier uses 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 an tri-axial accelerometer. At least two of the training algorithms are trained using data from an accelerometer mounted at a non-ideal angle. The classifier is trained to distinguish between the desired states from data collected from an tri-axial accelerometer device mounted at a plurality of respective angles with respect to a optimal axis on the object, wherein the angles are in the range of −180 degrees to +180 degrees. The classifier may include a plurality of classifiers and a decision fusion module used to combine the decisions from the respective classifiers to ascertain a state.
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Citations
15 Claims
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1. A method comprising:
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a classifier 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 an tri-axial accelerometer wherein at least two of the training algorithms are trained using data from an accelerometer mounted at a non-ideal angle; and wherein the classifier is trained to distinguish between the desired states from data collected from an tri-axial accelerometer device mounted at a plurality of respective angles with respect to a optimal axis on the object, wherein the angles are in the range of −
180 degrees to +180 degrees. - View Dependent Claims (3, 4, 5, 6, 7, 8)
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2. A method according to claim 2 wherein the desired states are sedentary states and the object is a human subject, and the sedentary states are selected from the group:
- sitting, standing and lying.
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9. Apparatus comprising:
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a plurality of classifiers to distinguish between desired states of physical orientation of an object using data collected from an tri-axial accelerometer device mounted on the object, wherein each of the classifiers receive the same data from the tri-axial accelerometer device and at least some of the classifiers are trained using different training data, wherein the training data correlates to at least one position of the tri-axial accelerometer that is not optimally oriented on the object; and a decision fusion module to identify one of the desired states from classification information received each of the classifiers. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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Specification