Kabushiki Kaisha Toshiba

Tdk Corporation

Kabushiki Kaishi Toshiba

Yasunobu Yamauchi

Isao Mihara

Masahiro Sekine

Akira Morishita

Miwako Doi

Kazunori Imoto

Tomoyuki Shibata

Tsukasa Ike

Yasukazu Higuchi

Naoko Umeki

Shunichi Numazaki

Yojiro Tonouchi

Toshiaki Nakasu

Kanako Nakayama

Shingo Yanagawa

Norihiro Nakamura

Sawa Fuke

Junya Takakura

Masashi Nishiyama

Takeshi Nagai

Takuji Suzuki

Nakaba Kogure

Takahiro Harashima

Tomohiro Nakai

Shihomi Takahashi

Akiyuki Tanizawa

Takashi Nakamura

Yuzo Hirayama

Tomoki Watanabe

Kazuki Taira

Rieko Fukushima

Hideyuki Ueno

Tsuyoshi Tasaki

Daisuke Ajitomi

Masayuki Okamoto

Kaoru Sugita

Takahisa Yoneyama

Hidetaka Ohira

Yoshihisa Kizuka

Toshihiro Fujibayashi

Mieko Miyazawa

Hitoshi Saijo

Sayoko Tanaka

Yasuyuki Tsunoi

Yasuhiro Yanaka

Hideyuki Uneo

Izumi Fukunaga

Rei Sakuragi

According to one embodiment, a recognition apparatus includes processing circuitry. The processing circuitry generates a first feature quantity exhibiting a feature of sensor data based on the sensor data, converts the first feature quantity into a second feature quantity exhibiting a feature contributing to identification of a class of the sensor data, generates a significant feature quantity exhibiting a feature that is significant in the identification of the class based on a cross-correlation between the first feature quantity and the second feature quantity, generates an integrated feature quantity considering features of the first feature quantity and the second feature quantity, based on the second feature quantity and the significant feature quantity, and identifies the class based on the integrated feature quantity.

Recognition apparatus, recognition method, and non-transitory computer-readable storage medium

According to one embodiment, a load estimation apparatus includes processing circuitry. The processing circuitry acquires sensor data from a measurement target, calculates one or more posture loads relating to one or more body parts of the measurement target based on the sensor data, and displays display data including a posture load graph in which the one or more posture loads are illustrated in time series.

Load estimation apparatus and method

According to one embodiment, a load estimation apparatus includes processing circuitry. The processing circuitry acquires sensor data from a measurement target, estimates an operation of a body part of the measurement target, based on the sensor data, estimates an operation load of the body part, based on information on the operation, estimates a posture of the body part, based on the sensor data, estimates a posture load of the body part, based on information on the posture, estimates a first cumulative load, based on the operation load, and estimates a second cumulative load, which requires a longer load elimination time than the first cumulative load, based on the operation load and the posture load.

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

According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry acquires image data on a predetermined photographed area, generates part movement information on a plurality of parts of an object included in the image data, based on the image data, acquires sensor data from the object, generates sensor operation information on an operation of a sensor, based on the sensor data, and specifies a relationship between the object included in the image data and the sensor, based on the part movement information and the sensor operation information.

Information processing apparatus specifying a relationship between a sensor and an object included in image data, and method and non-transitory computer-readable storage medium

According to one embodiment, an information processing device includes a hardware processor configured to acquire operation cost information indicative of a relationship between a state of an operator and a period of time required for the operator to perform an operation from a storage that stores the operation cost information, acquire state information indicative of a state of a target operator, and calculate a period of time required for the target operator to perform a target operation based on the operation cost information and the state information.

Information processing device and method

A recognition apparatus according to an embodiment of the present disclosure includes a memory and a hardware processor coupled to the memory. The hardware processor is configured to: extract first feature quantity data from sensor data; generate attention information based on a classification contribution of the first feature quantity data; generate a second feature quantity data by processing the first feature quantity data with the attention information; generate processed feature quantity data including the first feature quantity data and the second feature quantity data; and perform classification of a recognition object from the processed feature quantity data by using a classification network.

Recognition apparatus, recognition method, and program product

A determination device according to an embodiment includes one or more processors. The processors identify a worker position. The processors identify a job area which includes the worker position. The processors select, from among a plurality of determiners meant for determining job details of persons from movement information indicating movements of persons, at least one determiner associated with the job area. The processors generate worker movement information indicating movements of a worker. The processors use the at least one selected determiner and determine a job type indicating job details of the worker based on the worker movement information.

Device and method for determining job types based on worker movements

According to one embodiment, an information processing apparatus includes an acquisition module, a feature calculator and a blood pressure value calculator. The acquisition module is configured to acquire a basic first attribute of a user, a second attribute related to a physique of the user, a third attribute related to a circulatory organ of the user, and a biological signal related to a living body of the user. The feature calculator is configured to calculate a feature in the biological signal. The blood pressure value calculator is configured to calculate a blood pressure value of the user, based on the first attribute, the second attribute, the third attribute, and the feature.

Information processing apparatus, method and storage medium

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

According to one embodiment, a sleep sensor which is attached to a user who is sleeping when it is to be used is provided. The sleep sensor includes a first detector, an estimation module, a second detector and a control module. The first detector is configured to detect an acceleration signal representing acceleration that is obtained from the sleep sensor. The estimation module is configured to estimate the user's body position based on the detected acceleration signal. The second detector is configured to detect a signal for estimating a state other than the user's body position. The control module is configured to operate the second detector when the estimated user's body position is at least one of predefined body positions.

Sleep sensor

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

According to one embodiment, a respiratory measurement module measures a first signal related to a respiratory fluctuation of the user. A body movement measurement module measures a second signal related to a movement of a trunk of the user. A respiration detector detects whether or not the user is in a respiratory arrest state, based on the measured first signal measured. A body movement detector detects whether or not the trunk of the user is moving, based on the measured second signal. An estimation module estimates a respiratory state of the user, based on a detection result by the respiration detector and a detection result by the body movement detector. An output module outputs respiratory state information indicating the estimated respiratory state.

Respiratory state estimation device, method, and storage medium

According to one embodiment, a handwritten character retrieval apparatus is provided with an acquisition unit, a feature extraction unit, an segmentation unit, a attribute append unit and a retrieval unit. The acquisition unit acquires a handwritten character string in units of a stroke. The feature extraction unit extracts a first feature value unique to each of the strokes from the handwritten character string. The segmentation unit segments the strokes into a plurality of sets. The attribute append unit appends a second feature value based on the sets to each of the strokes. The retrieval unit executes retrieval based on the first feature value and the second feature value.

Handwritten character retrieval apparatus and method

A device according to an embodiment includes: a simulated skin portion being located near a photoelectric pulse wave sensor to simulate a blood flow of the skin; a reflectance changing unit located on an opposite side of the simulated skin portion to the photoelectric pulse wave sensor, the reflectance changing unit changing, in time series, reflectance of light emitted from the light-emitting unit of the photoelectric pulse wave sensor and passing through the simulated skin portion; a reflectance change control unit that transmits a reflectance control signal to the reflectance changing unit to control changes in reflectance of the reflectance changing unit; and a synchronization signal output unit that outputs a signal in sync with the reflectance control signal to an external device.

Device for inspecting a photoelectric pulse wave sensor and method for inspecting a photoelectric pulse wave sensor

Growing community of inventors

Kanagawa, Japan

Yasunobu Yamauchi