Object state detection apparatus and method
First Claim
1. An apparatus for detecting a state of an object, comprising:
- m (m>
=1) electromagnetic field generators provided near a space, the space being occupied by the object when the object is in a particular state;
n (n>
=1) electric field strength measurement devices for identifying and measuring electric field strength which occurs from each of the m electromagnetic field generators; and
at least one processor configured to calculate characteristics from time-series data of m×
n electric field strength and to identify, by statistical processing, the state of the object from the characteristics and characteristic data collected in each of a plurality of still states of the object, wherein the at least one processor is configured to learn an upper-limit value and a lower-limit value of the electric field strength for each time-series data based on the characteristic data of each still state which has been collected, and wherein the at least one processor is configured to identify the state by the fact that input characteristic data is between the upper-limit value and the lower-limit value of the electric field strength or to identify the state by the fact that input characteristic data is not between the upper-limit value and the lower-limit value of the electric field strength, the input characteristic data being time-series data comprising the amount of fluctuation of the time series data of the m×
n electric field strength for a predetermined period.
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Accused Products
Abstract
There is provided an apparatus and method for identifying and measuring the electric field strength which occurs from each of RFID tags arranged in a detection target space by a receiver to grasp the state of an object. The apparatus is provided with m (m>=1) electromagnetic field generation means provided near a space, the space being occupied by the object when the object is in a particular state; n (n>=1) electric field strength measurement means for identifying and measuring electric field strength which occurs from each of the m electromagnetic field generation means; characteristic extraction means for calculating characteristics from m×n time-series data of the electric field strength; and state identification means for identifying, by statistical processing, a state from the characteristics and characteristic data in each state for learning.
18 Citations
14 Claims
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1. An apparatus for detecting a state of an object, comprising:
-
m (m>
=1) electromagnetic field generators provided near a space, the space being occupied by the object when the object is in a particular state;n (n>
=1) electric field strength measurement devices for identifying and measuring electric field strength which occurs from each of the m electromagnetic field generators; andat least one processor configured to calculate characteristics from time-series data of m×
n electric field strength and to identify, by statistical processing, the state of the object from the characteristics and characteristic data collected in each of a plurality of still states of the object, wherein the at least one processor is configured to learn an upper-limit value and a lower-limit value of the electric field strength for each time-series data based on the characteristic data of each still state which has been collected, and wherein the at least one processor is configured to identify the state by the fact that input characteristic data is between the upper-limit value and the lower-limit value of the electric field strength or to identify the state by the fact that input characteristic data is not between the upper-limit value and the lower-limit value of the electric field strength, the input characteristic data being time-series data comprising the amount of fluctuation of the time series data of the m×
n electric field strength for a predetermined period. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for detecting a state of an object, the method comprising acts of:
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providing m (m>
=1) transmitters near a space, the space being occupied by the object when the object is in a particular state;identifying and measuring electric field strength which occurs from each of the m transmitters by n (n>
=1) receivers;calculating characteristics from time-series data of m×
n electric field strength; andidentifying, by statistical processing, the state of the object from the characteristics and characteristic data collected in each of a plurality of still states of the object, wherein an upper-limit value and a lower-limit value of the electric field strength is learned for each time-series data based on characteristic data of each still state which has been collected, and wherein the state is identified by the fact that input characteristic data is between the upper-limit value and the lower-limit value of the electric field strength or the state is identified by the fact that the input characteristic data is not between the upper-limit value and the lower-limit value of the electric field strength, the input characteristic data being time-series data comprising the amount of fluctuation of the time series data of the m×
n electric field strength for a predetermined period. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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Specification