Human recognition apparatus and human recognition method
First Claim
1. A human recognition apparatus, comprising:
- a detecting unit, located at a distance from a user, detecting a ground vibration according to a user'"'"'s walking, and outputting an electric signal;
a pattern calculating unit acquiring a walker'"'"'s walking pattern from the electric signal; and
a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result,wherein the detecting unit comprises;
a vibration sensor outputting an electric signal corresponding to peripheral vibration; and
a high pass filter eliminating a low frequency noise from the electric signal.
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Abstract
Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user'"'"'s walking, and outputting an electric signal, a pattern calculating unit acquiring a walker'"'"'s walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.
10 Citations
14 Claims
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1. A human recognition apparatus, comprising:
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a detecting unit, located at a distance from a user, detecting a ground vibration according to a user'"'"'s walking, and outputting an electric signal; a pattern calculating unit acquiring a walker'"'"'s walking pattern from the electric signal; and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result, wherein the detecting unit comprises; a vibration sensor outputting an electric signal corresponding to peripheral vibration; and a high pass filter eliminating a low frequency noise from the electric signal. - View Dependent Claims (2)
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3. A human recognition apparatus, comprising:
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a detecting unit detecting a vibration according to a user'"'"'s walking, and outputting an electric signal; a pattern calculating unit acquiring a walker'"'"'s walking pattern from the electric signal; and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result, wherein the detecting unit comprises; a vibration sensor outputting an electric signal corresponding to peripheral vibration; and a high pass filter eliminating a low frequency noise from the electric signal, wherein the pattern calculating unit outputs a ratio of a time interval between a second vibration signal and a next first vibration signal to a time interval between a first vibration signal and the second vibration signal as the user'"'"'s walking pattern, where the first vibration signal is generated when one foot of the user lands on the ground, and the second vibration signal is generated when the other foot of the user lands on the ground. - View Dependent Claims (4)
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5. A human recognition apparatus, comprising:
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a detecting unit detecting a vibration according to a user'"'"'s walking, and outputting an electric signal; a pattern calculating unit acquiring a walker'"'"'s walking pattern from the electric signal; and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result, wherein the detecting unit comprises; a vibration sensor outputting an electric signal corresponding to peripheral vibration; and a high pass filter eliminating a low frequency noise from the electric signal, wherein the pattern calculating unit comprises; a sampling unit detecting peaks of the electric signal; a selecting unit selecting at least three successive peaks from the detected peaks, and calculating at least two time intervals between the selected peaks; and an operation unit calculating a ratio of the at least two time intervals.
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6. A human recognition apparatus, comprising:
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a detecting unit detecting a vibration according to a user'"'"'s walking, and outputting an electric signal; a pattern calculating unit acquiring a walker'"'"'s walking pattern from the electric signal; and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result, wherein the detecting unit comprises; a vibration sensor outputting an electric signal corresponding to peripheral vibration; and a high pass filter eliminating a low frequency noise from the electric signal, wherein the user determining unit comprises; a comparing unit calculating similarity between the walking pattern and the at least one reference data; and a selecting unit selecting a reference data having the highest similarity and extracting user information corresponding to the selected reference data. - View Dependent Claims (7)
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8. A human recognition apparatus, comprising:
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a detecting unit detecting a vibration according to a user'"'"'s walking, and outputting an electric signal; a pattern calculating unit acquiring a walker'"'"'s walking pattern from the electric signal; and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result, wherein the detecting unit comprises; a vibration sensor outputting an electric signal corresponding to peripheral vibration; and a high pass filter eliminating a low frequency noise from the electric signal, wherein the user determining unit comprises; a subtractor subtracting the walking pattern and the at least one reference data to output an absolute value of the resulting value; a comparator outputting a true value when the lowest absolute value of the output of the subtractor is less than a preset threshold value; and an operator selecting the reference data where the lowest absolute value is calculated, when the output of the comparator is a true value.
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9. A human recognition method, comprising:
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detecting, from a distance, a ground vibration according to a user'"'"'s walking, and converting the detected vibration into an electric signal; calculating a walker'"'"'s walking pattern according to the electric signal; and comparing the calculated walking pattern with a previously measured reference data by user and identifying the user based on the comparison result, wherein the detecting comprises; outputting an electric signal corresponding to peripheral vibration; and eliminating a low frequency noise from the electric signal with a high pass filter.
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10. A human recognition method, comprising:
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detecting a vibration according to a user'"'"'s walking, and converting the detected vibration into an electric signal; calculating a walker'"'"'s walking pattern according to the electric signal; and comparing the calculated walking pattern with a previously measured reference data by user and identifying the user based on the comparison result, wherein the detecting comprises; outputting an electric signal corresponding to peripheral vibration; and eliminating a low frequency noise from the electric signal with a high pass filter, wherein the calculating of the walking pattern comprises; detecting a first vibration signal generated when one foot of the user lands on the ground; detecting a second vibration signal subsequent to the first vibration signal and generated when the other foot of the user lands on the ground; detecting the first vibration signal subsequent to the second vibration signal; and calculating a ratio of a second time interval between the second vibration signal and the next first vibration signal to a first time interval between the first vibration signal and the second vibration signal.
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11. A human recognition method, comprising:
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detecting a vibration according to a user'"'"'s walking, and converting the detected vibration into an electric signal; calculating a walker'"'"'s walking pattern according to the electric signal; and comparing the calculated walking pattern with a previously measured reference data by user and identifying the user based on the comparison result, wherein the detecting comprises; outputting an electric signal corresponding to peripheral vibration; and eliminating a low frequency noise from the electric signal with a high pass filter, wherein the identifying of the user comprises; calculating at least one similarity by comparing the walking pattern with the at least one reference data; selecting the reference data corresponding to the highest similarity among the at least one similarity; and extracting user information corresponding to the selected reference data, and outputting the extracted user information as a walking user. - View Dependent Claims (12, 13, 14)
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Specification