Abstract: According to one embodiment, an apparatus operation device includes: a direction operation module configured to receive an operating instruction in a two-dimensional direction; a recognizing module configured to recognize a swing motion or a tilting motion of the apparatus operation device; and an output module configured to output a first operation command corresponding to a first operation for screen transition corresponding to a predetermined condition when the swing motion or the tilting motion recognized satisfies the predetermined condition, and to output a second operation command corresponding to a second operation for transition of a pointer on the screen in the two-dimensional direction when the operating instruction in the two-dimensional direction is received.

Abstract: Apparatus for speech recognition includes a recognition unit configured to recognize a speech signal and to generate a first recognition result, a transmitting unit that transmits at least one of the speech signal and a recognition feature to a server, a receiving unit that receives a second recognition result from the server, a result generating unit configured to generate a third recognition result, a result storage unit that stores the third recognition result and a dictionary update unit configured to update the client recognition dictionary.

Abstract: The acquiring unit is configured to acquire positions of a particular part of a user in time series. The calculator is configured to calculate a feature value of a motion of the particular part from the positions acquired in time series. The comparing unit configured to compare the feature value and a first threshold. The recognizing unit is configured to recognize the motion of the particular part using a first recognition method and a second recognition method which is different from the first recognition method. The control unit configured to control the recognizing unit to select the first recognition method for recognizing a position or a motion of the particular part when the feature value is smaller than the first threshold, and select the second recognition method when the feature value is equal to or larger than the first threshold.

Abstract: Moving information of an object is input, and first sound information around the object is input. A motion status of the object is recognized based on the moving information. Second sound information is selectively extracted from the first sound information, based on the motion status. A first feature quantity is extracted from the second sound information. A plurality of models is stored in a memory. Each model has a second feature quantity and a corresponding specified context. The second feature quantity is previously extracted by the second extraction unit before the first feature quantity is extracted. A present context of the object is decided based on the specified context corresponding to the second feature quantity most similar to the first feature quantity. The present context of the object is output.

Abstract: An embodiment of an apparatus for speech recognition includes a speech input unit configured to acquire acoustic signal, a first recognition unit configured to recognize the acoustic signal, a communication unit configured to communicate with an external server, a second recognition unit configured to recognize the acoustic signal by utilizing the external server via the communication unit, and a remote signal input unit configured to acquire a control signal from a remote controller. The switching unit is configured to switch between the first recognition unit and the second recognition unit for recognizing the acoustic signal in response to a start trigger. The switching unit selects the second recognition unit when the start trigger is detected from the control signal, and the switching unit selects the first recognition unit when the start trigger is detected from the acoustic signal.

Abstract: According to one embodiment, a voice recognition apparatus includes a determination unit, an estimating unit, and a voice recognition unit. The determination unit determines whether a component with a frequency of not less than 1000 Hz and with a level not lower than a predetermined level is included in a sound input from a plurality of microphones. The estimating unit estimates a sound source direction of the sound when the determination unit determines that the component is included in the sound. The voice recognition unit recognizes whether the sound obtained in the sound source direction coincides with a voice model registered beforehand.

Abstract: According to one embodiment, a television apparatus includes a speech input unit, an indication input unit, a speech recognition unit, and a control unit. The speech input unit is configured to input a speech. The indication input unit is configured to input an indication to start speech recognition from a user. The speech recognition unit is configured to recognize the user's speech inputted after the indication is inputted. The control unit is configured to execute an operation command corresponding to a recognition result of the user's speech. The control unit, if a volume of the television apparatus at a timing when the indication is inputted is larger than or equal to a threshold, temporarily sets the volume to a value smaller than the threshold while the speech recognition unit is recognizing.

Abstract: A pulse wave measuring apparatus includes a pulse wave measuring unit measuring a pulse wave; a first detection unit detecting first maximum and minimum values; a second detection unit detecting second maximum and minimum values; an update unit updating the first maximum and minimum values with the second maximum and minimum values after time periods; an initialization unit initializing the second maximum and minimum values after updating the first maximum and minimum values; a timing detection unit detecting a time determined by the first maximum and minimum values; and an interval calculation unit calculating a pulse wave interval using the timing.

Abstract: According to one embodiment, a monitoring apparatus includes an acquisition unit, an analysis unit, a calculation unit, a storage, a determination unit. The acquisition unit acquires an environmental sound. The analysis unit performs frequency analysis to extract characteristic frequency components. The calculation unit calculates first values of metrics. The storage stores contour data generated by second values of the metrics. The determination unit determines whether or not there is a first measurement point in which a first value and a second value match, if there is no first measurement point or the change is not less than the threshold value, determines that the machines is abnormal.

Abstract: An embodiment of an apparatus for speech recognition includes a speech input unit configured to acquire acoustic signal, a first recognition unit configured to recognize the acoustic signal, a communication unit configured to communicate with an external server, a second recognition unit configured to recognize the acoustic signal by utilizing the external server via the communication unit, and a remote signal input unit configured to acquire a control signal from a remote controller. The switching unit is configured to switch between the first recognition unit and the second recognition unit for recognizing the acoustic signal in response to a start trigger. The switching unit selects the second recognition unit when the start trigger is detected from the control signal, and the switching unit selects the first recognition unit when the start trigger is detected from the acoustic signal.

Abstract: A thermal sensation determining apparatus includes a skin temperature detecting unit configured to detect a skin temperature of a peripheral site of a subject's body, a variation state determining unit configured to determine a variation state of the skin temperature during a first interval to obtain a variation state determination result, a gradient detecting unit configured to detect a gradient of the skin temperature during a second interval to determine the gradient to obtain a gradient detection result, and a thermal sensation determining unit configured to determine the subject's thermal sensation using the variation state determination result and the gradient detection result to obtain a thermal sensation determination result classified into levels ranging from “hot” to “cold” based on a “moderate” temperature.

Abstract: Pulse wave signal data expressing the pulse wave of a subject and body movement signal data expressing body movements of the subject are obtained so that a correlation coefficient expressing the degree of correlation between the pulse wave signal data and the body movement signal data is calculated. One or more pieces of the pulse wave signal data in which the correlation coefficient is equal to or larger than a predetermined threshold value are eliminated.

Abstract: According to an embodiment, an information processing apparatus includes a detecting unit that detects an operation to first and second touch panels respectively provided above first and second display; a determining unit that determines, when the detecting unit detects a selection operation for selecting a region of a screen on the first display using the first touch panel, kind of an object in a selected region; a generating unit that generates an application list including application candidates to be started to open the object according to the kind; a display controller that displays, when the detecting unit detects a transmission operation for transmitting the selected region to the second display using the first touch panel, the application list on the second display; and an application controller that starts, when the detecting unit detects a selection operation for selecting any one of the applications, a selected application.

Abstract: A sleep state measuring apparatus includes an autonomic nerve index obtaining unit that obtains a user's autonomic nerve index; and a sleep periodicity index calculating unit that calculates a sleep periodicity index based on a temporal change of the autonomic nerve index and a change in a user's sleeping cycle, wherein the sleep periodicity index indicates whether the user is sleeping or not according to a user's ideal sleeping cycle as an index, or a dominance index calculating unit that calculates a parasympathetic nerve dominance index which shows dominance of a parasympathetic nerve index included in the autonomic nerve index with respect to a sympathetic nerve index included in the autonomic nerve index for a user during sleep.

Abstract: A device for speech input includes a speech input unit configured to convert a speech of a user to a speech signal; an angle detection unit configured to detect an angle of the speech input unit; a distance detection unit configured to detect a distance between the speech input unit and the user; and an input switch unit configured to control on and off of the speech input unit based on the angle and the distance.

Abstract: Moving information of an object is input, and first sound information around the object is input. A motion status of the object is recognized based on the moving information. Second sound information is selectively extracted from the first sound information, based on the motion status. A first feature quantity is extracted from the second sound information. A plurality of models is stored in a memory. Each model has a second feature quantity and a corresponding specified context. The second feature quantity is previously extracted by the second extraction unit before the first feature quantity is extracted. A present context of the object is decided based on the specified context corresponding to the second feature quantity most similar to the first feature quantity. The present context of the object is output.

Abstract: A voice recognition search apparatus includes: a dictionary create unit creating a first voice recognition dictionary from a search subject data; a voice acquisition unit acquiring first and second voices; a voice recognition unit creating first and second text data by recognizing the first and second voices using the first and second voice recognition dictionaries; a first search unit searching the search subject data by the first text data; and a second search unit searching a search result of the first search unit by the second text data.

Abstract: A biological-information monitoring apparatus includes a detecting unit that detects pulse intervals of a target person. Moreover, a first calculating unit calculates an average pulse interval that is an average of the pulse intervals within a first period. The first period is decided based on a target pulse interval. Finally, a second calculating unit calculates a parasympathetic nervous index based on a difference between the average pulse interval and the target pulse interval.

Abstract: A situation recognizing apparatus has a situation change detecting unit, being provided with situation information, configured to detect a situation change on the basis of the situation information, a first storage which stores a plurality of situation changes detected by the situation change detecting unit, an input unit which is provided with a user operation, and a second storage which combines the user operation provided to the input unit with the plurality of situation changes stored in the first storage and stores the combined user operation and the situation changes as a unique pattern.

Abstract: A situation recognizing apparatus has a situation change detecting unit, being provided with situation information, configured to detect a situation change on the basis of the situation information, a first storage which stores the detected situation change, an input unit which is provided with a user operation, and a second storage which combines the user operation provided to the input unit with the situation change stored in the first storage and stores the combined user operation and the situation change as a unique pattern.