DROWSINESS DETECTION METHOD AND APPARATUS THEREOF
First Claim
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1. A drowsiness detection method, comprising:
- detecting a plurality of physiological feature values of an object and storing the plurality of physiological feature values into a queue;
obtaining a plurality of specific values from the queue, wherein the plurality of specific values comprise a first minimum value, a second minimum value, a first maximum value, and a value of a first position; and
obtaining a plurality of difference values between the plurality of specific values and comparing the plurality of difference values with at least one threshold value to generate a drowsiness detection result.
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Abstract
The apparatus comprises an ultra-wide band module or an electrocardiography module for gathering heartbeat signals of a human being. By sequentially obtaining average heart-rate values of a human being, and according to the features of the heart-rate values over a period of time, the method is utilized to determine whether the human being is going to a state of drowsiness.
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Citations
33 Claims
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1. A drowsiness detection method, comprising:
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detecting a plurality of physiological feature values of an object and storing the plurality of physiological feature values into a queue; obtaining a plurality of specific values from the queue, wherein the plurality of specific values comprise a first minimum value, a second minimum value, a first maximum value, and a value of a first position; and obtaining a plurality of difference values between the plurality of specific values and comparing the plurality of difference values with at least one threshold value to generate a drowsiness detection result. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A drowsiness detection method, comprising:
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detecting a plurality of physiological feature values of an object and storing the plurality of physiological feature values into a queue; obtaining a maximum value, a first minimum value, and a second minimum value in the queue; and obtaining a plurality of difference values between the maximum value, the first minimum value, and the second minimum value, and comparing the plurality of difference values with a plurality of threshold values to generate a drowsiness detection result. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A drowsiness detection method, comprising:
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detecting a plurality of physiological feature values of an object and storing the plurality of physiological feature values in first and second queues; obtaining a first maximum value, a first minimum value, and a second minimum value of the first queue; obtaining a difference value between the first maximum value and the first minimum value and comparing the difference with a first threshold value and obtaining a difference value between the maximum value and the second minimum value and comparing the difference with a second threshold value, respectively, to generate a first comparison result; obtaining a difference value between a second maximum value and a third minimum value of the second queue and comparing the difference with a third threshold value to generate a second comparison result; and generating a drowsiness detection result according to the first and second comparison results. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A drowsiness detection apparatus, comprising:
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a signal detection unit configured to obtain a plurality of sequential signals of an object during a plurality of time intervals; and an operation module configured to convert the plurality of sequential signals into a plurality of frequencies and to obtain mutual relationships of the plurality of frequencies, so as to generate a drowsiness detection result. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33)
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Specification