Biometric authentication
First Claim
Patent Images
1. A method comprising:
- processing data in a first dataset that represents time-varying information about at least one pulse pressure wave propagating through blood in a subject acquired at a location of the subject;
processing data in a second dataset that represents time-varying information about motion of the subject acquired at the location of the subject; and
determining whether one or more segments of the datasets were captured from a subject other than an expected subject by analyzing morphological features of the segments,wherein the information about at least one pulse pressure wave propagating through blood in the subject comprises photoplethysmographic (PPG) data and the information about motion of the subject comprises one or both of motioncardiogram (MoCG) data and gross motion data.
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Abstract
The technology described in this document is embodied in a method that includes processing data in a dataset that represents time-varying information about at least one pulse pressure wave propagating through blood in a subject acquired at a location of the subject. The method also includes determining whether one or more segments of the dataset were captured from a subject other than an expected subject by analyzing morphological features of the segments.
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Citations
38 Claims
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1. A method comprising:
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processing data in a first dataset that represents time-varying information about at least one pulse pressure wave propagating through blood in a subject acquired at a location of the subject; processing data in a second dataset that represents time-varying information about motion of the subject acquired at the location of the subject; and determining whether one or more segments of the datasets were captured from a subject other than an expected subject by analyzing morphological features of the segments, wherein the information about at least one pulse pressure wave propagating through blood in the subject comprises photoplethysmographic (PPG) data and the information about motion of the subject comprises one or both of motioncardiogram (MoCG) data and gross motion data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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35. A method comprising:
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processing data in a first dataset that represents time-varying information about at least one pulse pressure wave propagating through blood in a subject acquired at a location of the subject; processing data in a second dataset that represents time-varying information about motion of the subject acquired at the location of the subject; based on the first and second datasets, determining at least two parameters of the subject, the parameters selected from the group consisting of blood pressure, respiratory rate, blood oxygen levels, heart rate, heart rate variability, stroke volume, cardiac output, MoCG morphology, and PPG morphology; determining a biometric signature of the subject, the biometric signature represented by a multi-dimensional space that is defined by at least two axes, each axis corresponding to at least one of the determined parameters; and determining whether the biometric signature was captured from a subject who is an expected subject by analyzing features of the biometric signature.
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36. A biofeedback device configured to be worn by a subject, the device comprising:
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a light source configured to emit light toward the skin of the subject; an optical sensor configured to; receive the emitted light after the emitted light reflects off of the skin of the subject; and provide data that corresponds to a characteristic of the received light, the data representing time-varying information about at least one pulse pressure wave propagating through blood in the subject acquired by the optical sensor at a location of the subject; a motion sensor configured to provide data that represents time-varying information about motion of the subject acquired by the motion sensor at the location of the subject; and a processor configured to; receive data from one or both of the light-emitting element and the optical sensor; receive data from the motion sensor; and determine whether one or more segments of the data were captured from a subject other than an expected subject by analyzing morphological features of the segments.
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37. One or more non-transitory machine-readable storage devices storing instructions that are executable by one or more processing devices to perform operations comprising:
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processing data in a first dataset that represents time-varying information about at least one pulse pressure wave propagating through blood in a subject acquired at a location of the subject; processing data in a second dataset that represents time-varying information about motion of the subject acquired at the location of the subject; and determining whether one or more segments of the datasets were captured from a subject other than an expected subject by analyzing morphological features of the segments, wherein the information about at least one pulse pressure wave propagating through blood in the subject comprises photoplethysmographic (PPG) data and the information about motion of the subject comprises one or both of motioncardiogram (MoCG) data and gross motion data.
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38. One or more non-transitory machine-readable storage devices storing instructions that are executable by one or more processing devices to perform operations comprising:
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processing data in a first dataset that represents time-varying information about at least one pulse pressure wave propagating through blood in a subject acquired at a location of the subject; processing data in a second dataset that represents time-varying information about motion of the subject acquired at the location of the subject; based on the first and second datasets, determining at least two parameters of the subject, the parameters selected from the group consisting of blood pressure, respiratory rate, blood oxygen levels, heart rate, heart rate variability, stroke volume, cardiac output, MoCG morphology, and PPG morphology; determining a biometric signature of the subject, the biometric signature represented by a multi-dimensional space that is defined by at least two axes, each axis corresponding to at least one of the determined parameters; and determining whether the biometric signature was captured from a subject who is an expected subject by analyzing features of the biometric signature.
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Specification