Abstract:
An inferrer calculates, for each kind of living activities, an occurrence probability defining a probability that a corresponding living activity occurs, based on an operational state of an electric appliance determined by a detector for each of sections at an inference target time by use of prior probabilities, first conditional probabilities, and second conditional probabilities, and infers that a living activity having a highest occurrence probability has occurred at inference target time. Prior probabilities each define a probability at which a corresponding living activity occurs in one day. First conditional probabilities each define active and inactive probabilities of electric appliance belonging to a corresponding section under a condition where a corresponding living activity occurs. Second conditional probabilities each define probabilities of occurrence of a corresponding living activity within respective time periods divided from one day under a condition where a corresponding living activity occurs.
Abstract:
A receiver acquires power values respectively consumed through two or more branch circuits. A first memory stores power information in association with relevant information that relates to the power information. The power information includes date and time, and a power value corresponding to each branch circuit. A feature extractor extracts a feature value in the power information of each branch circuit. A rule extractor sets the relevant information to an explanatory condition for a change in the feature value, and extracts a rule for deriving the feature value from the explanatory condition. A predictor, when a target value is set to the building for power saving in an object period, acquires the relevant information in the object period, and applies the rule to the relevant information acquired so as to predict the feature value corresponding to each branch circuit in the object period.
Abstract:
An estimation system includes: a first sensor that detects a first amount of activity that is an amount of activity of a subject in a room; a second sensor that detects a second amount of activity that is an amount of activity of the subject on a bed in the room; and an estimation device that estimates at least one of a position and an action of the subject in association with a position in the room based on the first amount of activity detected by the first sensor and the second amount of activity detected by the second sensor, and outputs an estimation result obtained from the estimation. The first sensor and the second sensor are sensors other than two-dimensional image sensors.
Abstract:
A cognitive function evaluation device includes: an obtainment unit that obtains use information indicating a state of use of a toilet by a subject; a calculation unit that calculates a total number of times of use of a toilet by the subject, based on the use information obtained by the obtainment unit; an evaluation unit that evaluates a cognitive function of the subject, based on the total number of times of use calculated by the calculation unit; and an output unit that outputs a result of evaluation performed by the evaluation unit.
Abstract:
Cognitive function evaluation device includes: storing unit storing reference data on the relationship between the periodicity of a body movement of a person walking and the cognitive function level of the person; acquiring unit that acquires body movement data on the detected body movement from body movement sensor that detects the body movement of subject walking; and calculating unit that calculates the periodicity of the body movement while walking from the acquired body movement data and checks the calculated periodicity against reference data stored in storing unit so as to identify the cognitive function level corresponding to the calculated periodicity.
Abstract:
A cognitive function evaluation device includes an acquisition unit that acquires body motion data representing a body motion of a person to be evaluated during walking; a calculation unit that calculates a displacement of a body of the person to be evaluated during walking based on the acquired body motion data; and an evaluation unit that evaluates a cognitive function of the person to be evaluated based on a frequency peak representing a cycle of walking of person-to-be-evaluated obtained by performing a frequency analysis on the calculated displacement, and to output the evaluation result.
Abstract:
In order to reduce demand power on utility grid through electrical energy storage and suppress reduction in remaining capacity of electrical energy storage, power supply control apparatus includes judging module and estimator. Judging module judges whether to allow electrical energy storage to feed power into electrical load within target period while electrical energy storage in building is requested to feed power into electrical load. Estimator performs estimation of present state in which user of electrical load is present in building or absent state in which user is absent from building. Judging module judges to allow electrical energy storage to feed power when estimation by estimator is present state, within target period and judges to prohibit electrical energy storage from feeding power when estimation by estimator is absent state, within target period.
Abstract:
A behavior prediction device includes an acquisition interface for acquiring a power consumption value by an electric load for each of branch circuits divided inside a distribution board in an object space (a dwelling), and a predictor for working out a stop time based on power information in which the power consumption value is related with date and time at which the power consumption value is acquired. The stop time is a time at which the power consumption value will fall to a predetermined reference value. Based on the stop time, the predictor predicts a kind of specified behavior of a user in the object space and a time at which the behavior will occur.