Destination prediction apparatus and destination prediction method
First Claim
1. A destination prediction apparatus which predicts a destination of a user, said apparatus comprising:
- a carried item detection unit operable to detect a carried item which the user carries;
an accumulation unit operable to associate at least the carried item detected by said carried item detection unit with position information, and accumulate the carried item and the position information as a history;
a causal relationship extraction unit operable to extract, from the history, a causal relationship between at least the carried item and the position information;
a destination prediction unit operable to predict the destination of the user based on the causal relationship and the carried item; and
a carry frequency judgment unit operable to perform judgment that distinguishes whether the carried item is a frequently carried item which is carried with a frequency greater than or equal to a predetermined percentage, or an infrequently carried item which is carried with a frequency lower than the predetermined percentage,wherein said causal relationship extraction unit is operable to extract a causal relationship between the infrequently carried item and the frequently carried item.
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Abstract
To provide a destination prediction apparatus which can predict a destination of a user by using a carried item carried by the user, the destination prediction apparatus according to the present invention includes: a position information detection unit which detects a present position of a mobile terminal; a carried item detection unit which detects the carried item of the user; a history accumulation unit which accumulates a history of date and time information detected by a clock unit, position information detected by the position information detection unit, and information of the carried item of the user detected by the carried item detection unit; a carry frequency judgment unit which calculates a frequency at which the carried item is carried; a causal relationship extraction unit which calculates an infrequently carried item and a related point; a destination prediction unit which predicts the destination using the position information, the carried item information, and a position causal relationship extracted by the causal relationship extraction unit; and the clock unit which detects the date and time information.
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Citations
12 Claims
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1. A destination prediction apparatus which predicts a destination of a user, said apparatus comprising:
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a carried item detection unit operable to detect a carried item which the user carries; an accumulation unit operable to associate at least the carried item detected by said carried item detection unit with position information, and accumulate the carried item and the position information as a history; a causal relationship extraction unit operable to extract, from the history, a causal relationship between at least the carried item and the position information; a destination prediction unit operable to predict the destination of the user based on the causal relationship and the carried item; and a carry frequency judgment unit operable to perform judgment that distinguishes whether the carried item is a frequently carried item which is carried with a frequency greater than or equal to a predetermined percentage, or an infrequently carried item which is carried with a frequency lower than the predetermined percentage, wherein said causal relationship extraction unit is operable to extract a causal relationship between the infrequently carried item and the frequently carried item. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A destination prediction apparatus which predicts a destination of a user, said apparatus comprising:
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a carried item detection unit operable to detect a carried item which the user carries; an accumulation unit operable to associate at least the carried item detected by said carried item detection unit with position information, and accumulate the carried item and the position information as a history; a causal relationship extraction unit operable to extract, from the history, a causal relationship between at least the carried item and the position information; a destination prediction unit operable to predict the destination of the user based on the causal relationship and the carried item; a non-carried item isolation unit operable to isolate a non-carried item which is not carried by the user based on the casual relationship and the carried item detected by said carried item detection unit; a non-carried item position detection unit operable to detect a position in which the non-carried item is present; and a non-carried item position relationship judgment unit operable to judge a position relationship between the non-carried item and the user based on the position of the non-carried item detected by said non-carried item position detection unit, a position of the user and a movement direction of the user, wherein said destination prediction unit is operable to predict, as the destination of the user, a destination corresponding to the non-carried item, in the case where said non-carried item position relationship judgment unit judges that the user is approaching the non-carried item. - View Dependent Claims (8)
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9. A destination prediction method for predicting a destination of a user, said method comprising:
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detecting a carried item which the user carries; associating at least the carried item detected by said carried item detection unit with position information, and accumulating the carried item and the position information as a history; judging whether the carried item is a frequently carried item which is carried with a frequency greater than or equal to a predetermined percentage, or an infrequently carried item which is carried with a frequency lower than the predetermined percentage; extracting, from the history, a causal relationship between at least the carried item and the predetermined position information; and predicting the destination of the user based on the causal relationship and the carried item, wherein said extracting comprises extracting a causal relationship between the infrequently carried item and the frequently carried item.
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10. A program used in a destination prediction method for predicting a destination of a user, said program being embodied on a computer-readable medium and causing a computer to execute a method comprising the steps of:
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detecting a carried item which the user carries; associating at least the carried item detected by said carried item detection unit with position information, and accumulating the carried item and the position information as a history; extracting, from the history, a causal relationship between at least the carried item and the position information; judging whether the carried item is a frequently carried item which is carried with a frequency greater than or equal to a predetermined percentage, or an infrequently carried item which is carried with a frequency lower than the predetermined percentage; and predicting the destination of the user based on the causal relationship and the carried item, wherein said extracting comprises extracting a causal relationship between the infrequently carried item and the frequently carried item.
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11. A destination prediction method for predicting a destination of a user, said method comprising:
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detecting a carried item which the user carries; associating at least the carried item detected by said carried item detection unit with position information, and accumulating the carried item and the position information as a history; extracting, from the history, a causal relationship between at least the carried item and the position information; predicting the destination of the user based on the causal relationship and the carried item; isolating a non-carried item which is not carried by the user based on the casual relationship and the carried item; detecting a position in which the non-carried item is present; and judging a position relationship between the non-carried item and the user based on the detected position of the non-carried item, a position of the user and a movement direction of the user, wherein said predicting comprises predicting, as the destination of the user, a destination corresponding to the non-carried item, in the case where said judging judges that the user is approaching the non-carried item.
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12. A program used in a destination prediction method for predicting a destination of a user, said program being embodied on a computer-readable medium and causing a computer to execute a method comprising the steps of:
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detecting a carried item which the user carries; associating at least the carried item detected by said carried item detection unit with position information, and accumulating the carried item and the position information as a history; extracting, from the history, a causal relationship between at least the carried item and the position information; predicting the destination of the user based on the causal relationship and the carried item; isolating a non-carried item which is not carried by the user based on the casual relationship and the carried item; detecting a position in which the non-carried item is present; and judging a position relationship between the non-carried item and the user based on the detected position of the non-carried item, a position of the user and a movement direction of the user, wherein said predicting comprises predicting, as the destination of the user, a destination corresponding to the non-carried item, in the case where said judging judges that the user is approaching the non-carried item.
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Specification