Methods for behavior pattern analysis
First Claim
1. A method for analyzing a behavior pattern, the method comprising:
- (a) continuously detecting behavior signals of a subject by using a device having a tri-axis accelerator;
(b) dividing the behavior signals as n time windows based on a predetermined time length, n being a plural number;
(c) configuring the n time windows as a matrix of an X-axis and a Y-axis;
(d) performing a cross analysis on the n time windows at the X-axis and the n time windows at the Y-axis to obtain a plurality of preferred correlation values, converting the plurality of preferred correlation values as bright spots or dark spots, the bright spots representing a first consistency of the behavior pattern, the dark spots representing a second consistency of the behavior pattern, and the first consistency is higher than the second consistency; and
(e) estimating a pattern according to the plurality of preferred correlation values to evaluate the behavior pattern.
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Abstract
A method for behavior pattern analysis is provided in which the behavior signals of a subject are continuously detected using tri-axis accelerator. The behavior signals are divided as a plurality of time windows based on a predetermined time length. The plurality of time windows are configured as an X-Y matrix, and cross analysis is performed on the time windows as X-axis and Y-axis to obtain a plurality of correlation coefficients as being the preferred correlation values. A pattern with bright spots and dark spots is plotted according to the preferred correlation values, and behavior pattern is evaluated from the number and distribution of bright spots and the pattern. The behavior consistency of a subject can be efficiently evaluated, and his/her behavior abnormality, disease development or other situations can be determined accordingly.
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Citations
4 Claims
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1. A method for analyzing a behavior pattern, the method comprising:
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(a) continuously detecting behavior signals of a subject by using a device having a tri-axis accelerator; (b) dividing the behavior signals as n time windows based on a predetermined time length, n being a plural number; (c) configuring the n time windows as a matrix of an X-axis and a Y-axis; (d) performing a cross analysis on the n time windows at the X-axis and the n time windows at the Y-axis to obtain a plurality of preferred correlation values, converting the plurality of preferred correlation values as bright spots or dark spots, the bright spots representing a first consistency of the behavior pattern, the dark spots representing a second consistency of the behavior pattern, and the first consistency is higher than the second consistency; and (e) estimating a pattern according to the plurality of preferred correlation values to evaluate the behavior pattern. - View Dependent Claims (2, 3, 4)
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Specification