Kabushiki Kaisha Toshiba

Toshiaki Nakasu

Tsukasa Ike

Yasunobu Yamauchi

Yojiro Tonouchi

Kazushige Ouchi

Ryuzo Okada

Tomoyuki Shibata

Hidetaka Ohira

Daisuke Kobayashi

Nao Mishima

Isao Mihara

Kazunori Imoto

Quoc Viet Pham

Nayuko Watanabe

Shihomi Takahashi

Shojun Nakayama

Hiroshi Fujimura

Norihiro Nakamura

Takahiro Arai

Ryo Morinaga

Uihyun Kim

Masaki Iwasaki

Akiko Kase

Yusuke Aoki

Yuki Sakurai

Sho Kawahata

Yusuke Hosoya

Kazaushige Ouchi

According to one embodiment, a case query apparatus includes a processing circuit. The processing circuit acquires a query condition represented by a query target. The processing circuit acquires a meta query condition represented by a description concerning a viewpoint to focus on when querying a case similar to the query condition. The processing circuit calculates a similarity degree between the query condition and each of a plurality of reference cases represented by a query target. The processing circuit queries a similar reference case similar to the query condition from a viewpoint of the meta query condition, among the plurality of reference cases, based on the similarity degree. The processing circuit presents a query result on the similar reference case.

Case query apparatus acquires query condition and meta query condition to calculate a similarity degree between the query condition and reference cases, case query method and a non-transitory computer readable storage medium

According to one embodiment, an information processing apparatus includes a processor. The processor generates a template, regarding a recording data sheet including a plurality of items, for one or more of the items that can be specified, with reference to an input order of input target items selected from the items. The processor performs a speech recognition on an utterance of a user and generate a speech recognition result. The processor determines an input target range relating to one more items specified by the utterance of the user among the items based on the template and the speech recognition result.

Information processing apparatus, method and computer readable medium

According to one embodiment, a work estimation apparatus includes processing circuitry. The processing circuitry acquires video data on a predetermined area, calculates a work value related to work performed by a worker included in the video data, based on the video data, and displays the work value.

Work estimation apparatus, method and non-transitory computer-readable storage medium

According to one embodiment, a state determination apparatus includes a processor. The processor acquires a targeted image. The processor acquires a question concerning the targeted image and an expected answer to the question. The processor generates an estimated answer estimated with respect to the question concerning the targeted image using a trained model trained to estimate an answer based on a question concerning an image. The processor determines a state of a target for determination in accordance with a similarity between the expected answer and the estimated answer.

State determination apparatus and image analysis apparatus

According to one embodiment, an information processing apparatus includes an acquisition unit, a conversion unit, and a display controller. The acquisition unit acquires multimedia data associated with an item of record data having a plurality of items. The conversion unit performs a conversion process from the multimedia data to first display data showing a content of the multimedia data. The display controller displays the first display data when the conversion process is completed, and displays second display data showing a progress status of the conversion process when the conversion process is incomplete in association with the item of the record data.

Information processing apparatus and information processing method

According to one embodiment, a calculation system includes a detector, a combiner, and a duration calculator. The detector refers to a plurality of images of an object imaged from mutually-different angles, detects the object in each of the images, and calculates a provisional position of the object in a coordinate system for each of the images. The coordinate system is prescribed. The combiner calculates a combined position of the object in the coordinate system by using the calculated plurality of provisional positions. The duration calculator refers to process information and a plurality of execution regions and calculates a duration of at least a portion of a plurality of processes based on the combined position and the execution regions. The process information includes information relating to the processes. The execution regions are represented using the coordinate system. The processes are executed in the execution regions.

Calculation system, calculation method, and storage medium

A retrieval device includes one or more processors. The processors acquire trajectory information indicating a movement trajectory of a target in time-series images. The processors acquire situation information indicating a peripheral situation of the target in the time-series images. The processors acquire a retrieval query containing a movement trajectory and a peripheral situation. The processors retrieve an image matching with the retrieval query among images contained in the time-series images based on the trajectory information and the situation information.

Retrieval device, retrieval method, and computer program product

According to an embodiment, a transformation matrix deriving device includes a first trajectory generator, a second trajectory generator, a trajectory matcher, and a deriver. The first trajectory generator is configured to generate a first trajectory of a moving object, detected from a video, in a first coordinate system. The second trajectory generator is configured to generate a second trajectory of a moving object in a second coordinate system, from time-series data of positional information. The trajectory matcher is configured to associate the first trajectory with the second trajectory to be a motion trajectory of the same moving object based on a similarity between the first trajectory and the second trajectory. The deriver is configured to derive a transformation matrix that transforms the second coordinate system into the first coordinate system by using the first trajectory and the second trajectory associated with each other.

Transformation matrix deriving device, position estimation apparatus, transformation matrix deriving method, and position estimation method

According to an embodiment, an information processing device includes a memory and processing circuitry. The processing circuitry is configured to acquire a captured image; detect a plurality of targets included in the captured image; calculate target information representing at least one of a state or an attribute and reliability of the target information for each of the plurality of detected targets on the basic of the captured image; and estimate a distribution of the target information of the plurality of targets on the basis of a distribution of the target information of targets for which the reliability is higher than a set value.

Information processing device, information processing method, and computer program product

According to one embodiment, there is provided an operation recognition device comprising a computer including a hardware processor. The hardware processor is configured to acquire movement information associated with a movement of a user, and area information corresponding to a first operation section; determine, based at least in part on the movement information and the area information corresponding to the first operation section, an estimated position corresponding to a subsequent operation by the user; and determine whether the subsequent operation by the user is directed to the first operation section based at least in part on the estimated position corresponding to the subsequent operation.

Operation recognition device and operation recognition method

A recognition device according to an embodiment described herein includes a hardware processor. The hardware processor generates a trajectory of a pointer based at least in part on information relating to a movement of the pointer, detects that the pointer contacts an operation surface, determines a detection time when the pointer contacts the operation surface, and determines a detection position of the pointer at the detection time, sets the detection position as a starting point, determines an ending point corresponding to the starting point based on at least the detection time or the detection position, and sets the trajectory from the starting point to the ending point as a target trajectory, and determines a command input by a user with a gesture of the pointer based on the target trajectory.

Recognition device, method, and storage medium

A recognition device includes an acquisition unit and a processor. The acquisition unit acquires first and second informations. The first information relates to a first signal corresponding to a state of a first portion of a body performing an action. The first signal is generated by a first element mounted to the first portion. The second information relates to a second signal corresponding to a state of a second portion. The second signal is generated by a second element mounted to the second portion. A relative positional relationship between the first portion and the second portion changes according to the action. The processor calculates a first feature based on the first information and a second feature based on the second information. The processor recognizes a type of the action based on a change of the first feature and a change of the second feature.

Recognition device, recognition method, and non-transitory recording medium

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.

Recognition apparatus

According to an embodiment, a shaping device includes a setting unit, a shaping unit, and a display control unit. The setting unit is configured to set, when the stroke group constitutes a figure of a first category, a first region in which no stroke is expected to exist and a second region in which a stroke is expected to exist in a circumscribing rectangle circumscribing the stroke group. The shaping unit is configured to shape the stroke group into the figure of the first category when a first feature value and a second feature value satisfy a first condition. The first feature value represents an occupancy condition of the stroke group in the first region. The second feature value represents an occupancy condition of the stroke group in the second region. The display control unit is configured to display a shaping result on a display unit.

Shaping device

According to one embodiment, a handwritten document processing apparatus includes an inputter, classifier, divider, and determiner. The inputter inputs stroke data. The classifier classifies the stroke data into data of a plurality of ruled lines and stroke data other than ruled lines. The divider divides a region including the plurality of ruled lines into first regions each corresponding to a cell bounded by four ruled lines and second regions each including at most three ruled lines. The determiner determines whether a ruled line in the second region is a first ruled line, to one end point of which a ruled line is not connected, or a second ruled line, to one end point of which a virtual circumscribed ruled line is connected.

Growing community of inventors

Tokyo, Japan

Toshiaki Nakasu