Abstract: In general, embodiments provide an inter-facility movement estimation apparatus including: a movement map which stores location information about facilities and movement times therebetween; a positioning unit which obtains user's location information when starting a movement; a movement candidate list which stores given movement path candidates; a movement situation estimating unit which estimates a user's movement situation; a movement path estimating unit which selects, whenever the movement situation is changed, estimated movement path candidates from the given movement path candidates based on the nearest facility and the user's movement situation; and an adjusting unit which changes the likelihoods of the estimated movement path candidates, wherein one of the estimated movement path candidates having a highest likelihood thereamong is specified as an actual movement path of the user.

Abstract: According to one embodiment, a moving state estimation apparatus includes a sensor, a storage, a first estimation unit, a second estimation unit, a calculation unit and a correction unit. The sensor detects acceleration data. The first estimation unit estimates certainty degrees of the moving states. The second estimation unit calculates orientations of the terminal based on the acceleration data, and to estimate terminal states. The calculation unit calculates reliability degrees of the moving states. The correction unit corrects the certainty degrees in accordance with the reliability degrees, to obtain corrected moving states with the certainty degrees corrected.

Abstract: In one embodiment, a motion determination apparatus includes: a basic motion determination module determining a basic motion of a user, based on a sensor signal for detecting a motion of the user; a basic motion recording module recording the basic motion in a temporal sequence; a motion scene determination table configured to store the basic motion and a condition under which the basic motion occurs, for each motion scene; a motion scene determination module determining that the basic motion recorded in the temporal sequence corresponds to a certain motion scene, based on the motion scene determination table; a detailed label determination table storing a detailed label indicating a detailed motion in the motion scene, for each motion scene; and a detailed label determination module determining that the basic motion included in the motion scene corresponds to a certain detailed label, based on the detailed label determination table.

Abstract: According to one embodiment, an information processing apparatus includes an acquisition unit, an analysis unit, and a generation unit. The acquisition unit is configured to acquire a status of a user while the user is working with a resource. The analysis unit is configured to acquire text information included in the resource by analyzing the resource. The generation unit is configured to generate at least one work label from the status of the user and the text information, and to generate a work history including a part of the text information, to which the work label is assigned.

Abstract: A moving context and a moving time of a user are specified by acceleration information while the user is moving. The moving context represents the user's moving status. The acceleration information is measured by an acceleration sensor carried with the user. The moving context and the moving time are stored in time series. The moving context and the moving time between a moving start time and an arrival time are set as a moving pattern. A tag is set to the moving context in the moving pattern. The tag identifies a function to be executed for the moving context. A moving estimation pattern is generated as the moving pattern having the moving context and the moving time specified by acceleration information measured when the user is newly moving. The function identified by the tag is executed, when the moving context set with the tag in the moving estimation pattern coincides with a moving context specified by acceleration information measured while the user is newly moving.

Abstract: A speech receiving unit receives a user ID, a speech obtained at a terminal, and an utterance duration, from the terminal. A proximity determining unit calculates a correlation value expressing a correlation between speeches received from plural terminals, compares the correlation value with a first threshold value, and determines that the plural terminals that receive the speeches whose correlation value is calculated are close to each other, when the correlation value is larger than the first threshold value. A dialog detecting unit determines whether a relationship between the utterance durations received from the plural terminals that are determined to be close to each other within an arbitrarily target period during which a dialog is to be detected fits a rule. When the relationship is determined to fit the rule, the dialog detecting unit detects dialog information containing the target period and the user ID.

Abstract: According to one embodiment, an information processing apparatus extracts utterance information of at least one user who utilizes a network community from a server. The information processing apparatus includes a measurement unit, an estimation unit, an extraction unit, and a display unit. The measurement unit is configured to measure a present location and an acceleration representing a rate of a specific user's move. The estimation unit is configured to estimate a moving status of the specific user based on the acceleration, and to estimate a line information which the specific user is presently utilizing or will utilize based on the present location and the moving status. The extraction unit is configured to extract at least one utterance information related to the line information from the server. The display unit is configured to display the utterance information extracted.

Abstract: According to one embodiment, an action history search device receives an inquiry from a user and outputs a inquirty time and a target of inquiry, decides a range for searching action history information representing history of the user's action together with a time of the user's action using the target of inquiry, and calculates an elapsed time from the time of the user's action within the range to the inquiry time. The device judges using the elapsed time and a narrowing-down model a probability on each response candidate to the inquiry based on the history of the action within the range. The narrowing-down model is used for judging according to the elapsed time the probability that the response candidate to the inquiry obtained from the history of the action is the user's desired response. The device outputs the response candidate according to the probability.

Abstract: In one embodiment, a motion determination apparatus includes: a basic motion determination module determining a basic motion of a user, based on a sensor signal for detecting a motion of the user; a basic motion recording module recording the basic motion in a temporal sequence; a motion scene determination table configured to store the basic motion and a condition under which the basic motion occurs, for each motion scene; a motion scene determination module determining that the basic motion recorded in the temporal sequence corresponds to a certain motion scene, based on the motion scene determination table; a detailed label determination table storing a detailed label indicating a detailed motion in the motion scene, for each motion scene; and a detailed label determination module determining that the basic motion included in the motion scene corresponds to a certain detailed label, based on the detailed label determination table.

Abstract: In general, embodiments provide an inter-facility movement estimation apparatus including: a movement map which stores location information about facilities and movement times therebetween; a positioning unit which obtains user's location information when starting a movement; a movement candidate list which stores given movement path candidates; a movement situation estimating unit which estimates a user's movement situation; a movement path estimating unit which selects, whenever the movement situation is changed, estimated movement path candidates from the given movement path candidates based on the nearest facility and the user's movement situation; and an adjusting unit which changes the likelihoods of the estimated movement path candidates, wherein one of the estimated movement path candidates having a highest likelihood thereamong is specified as an actual movement path of the user.

Abstract: External data acquired via an input device during display of presentation information on a display device is recorded, and feature amounts are calculated from the external data. An importance level is calculated by integrating the feature amounts for each section during the display period of the presentation information. First headline information of a part of the presentation information corresponding to a section having an importance level which exceeds a predetermined threshold is generated, and is presented to be aligned along the time axis. Previous display contents of the presentation information are searched for in response to a selection operation of the first headline information, and are displayed on the display device. Second headline information of a part of the presentation information corresponding to the section when the selection operation was made is generated, and is presented on the display device.

Abstract: A context estimation rule is applied to spare time on a user's schedule, and contexts are estimated. On the basis of a task template, an input task is divided into plural subtasks. A task recommendation rule for recommending tasks to do from the relation between contexts and metadata of tasks is applied to the spare time of the user, and tasks to do in the spare time are recommended on the basis of the contexts of the spare time and the metadata of the subtasks. The recommended tasks are managed as schedules.

Abstract: A portable terminal includes a body movement sensor configured to detect a movement of a user; a normal moving pattern storage unit configured to store, in advance, a normal moving pattern; a moving state determination unit configured to determine the moving state from the movement; a normal moving certainty calculation unit configured to calculate a normal moving certainty indicating a degree of coincidence between the normal moving pattern and the moving state determined at time of detecting the movement; a position measurement interval controller configured to calculate a position measurement interval depending on the normal moving certainty; and a positioning unit configured to measure a current position of the portable terminal at the position measurement interval.

Abstract: An information retrieval apparatus includes a display which displays document information, an input unit which adds additional information to the document information displayed the display, a first storage which stores mark symbol information specifying a particular symbol used for marking, a detector which detects an input from the input unit and decides whether or not the input additional information is identical to or similar to the mark symbol information stored in the first storage, a second storage which stores the mark symbol information and the additional information which is decided that it is similar to the mark symbol information by the detector, associating with the mark symbol information, and a retrieval unit which retrieves the mark symbol information and the additional information associated with the mark symbol information from the second storage, and a retrieval result by the retrieval unit is displayed on the display.

Abstract: A moving context and a moving time of a user are specified by acceleration information while the user is moving. The moving context represents the user's moving status. The acceleration information is measured by an acceleration sensor carried with the user. The moving context and the moving time are stored in time series. The moving context and the moving time between a moving start time and an arrival time are set as a moving pattern. A tag is set to the moving context in the moving pattern. The tag identifies a function to be executed for the moving context. A moving estimation pattern is generated as the moving pattern having the moving context and the moving time specified by acceleration information measured when the user is newly moving. The function identified by the tag is executed, when the moving context set with the tag in the moving estimation pattern coincides with a moving context specified by acceleration information measured while the user is newly moving.

Abstract: A multiple-contents distribution in a client and server system is disclosed. The multiple-contents contain contents-pieces, which are to be distributed to a set of clients including mobile phone terminals. The set of clients are registered with the server in response to registration requests. The server determines an order of the registered set of clients. The server then initiates a distribution of the contents-pieces to the registered sets of clients, wherein the contents-pieces are selected in accordance with the order of the clients.

Abstract: A keyword expressing a search target and an instance of information associated with the keyword are extracted from a character string included in a web document acquired for the keyword, based on a topic ontology, a relationship between the instances is visualized in a first topic graph expressed by a size of a topic node and a length of a topic link, and a reference relationship between web documents, which are an information source, is visualized in a blog graph expressed by a blog node and a blog link.

Abstract: A speech receiving unit receives a user ID, a speech obtained at a terminal, and an utterance duration, from the terminal. A proximity determining unit calculates a correlation value expressing a correlation between speeches received from plural terminals, compares the correlation value with a first threshold value, and determines that the plural terminals that receive the speeches whose correlation value is calculated are close to each other, when the correlation value is larger than the first threshold value. A dialog detecting unit determines whether a relationship between the utterance durations received from the plural terminals that are determined to be close to each other within an arbitrarily target period during which a dialog is to be detected fits a rule. When the relationship is determined to fit the rule, the dialog detecting unit detects dialog information containing the target period and the user ID.

Abstract: Each of a plurality of network-connected information processing apparatuses stores restriction information defined for each agent in order to restrict the operation of the agent which moves to the self apparatus and runs. When the agent is to move from the first information processing apparatus as one of the information processing apparatuses to the second information processing apparatus as another information processing apparatus, the first information processing apparatus receives restriction information corresponding to the agent from the second information processing apparatus. The first information processing apparatus selects at least one of the components in correspondence with the second information processing apparatus on the basis of the restriction information, and moves the agent holding the selected component to the second information processing apparatus.

Abstract: Each network-connected information processing apparatus stores restriction information defined for each agent in order to restrict the operation of the agent which moves to the self apparatus and runs. When the agent is to move from the first information processing apparatus as one of the information processing apparatuses to the second information processing apparatus as another information processing apparatus, the first information processing apparatus receives restriction information corresponding to the agent from the second information processing apparatus. The first information processing apparatus selects at least one of the components in correspondence with the second information processing apparatus on the basis of the restriction information, and moves the agent holding the selected component to the second information processing apparatus.