Kabushiki Kaisha Toshiba

Mitsubishi Electric Corporation

Sony Corporation

Sony Group Corporation

Takashi Sudo

Yasuhiro Kanishima

Hiroaki Komaki

Hiroki Kumagai

Kenichi Doniwa

Nobuhide Okabayashi

Akira Tanaka

Masataka Osada

Chikashi Sugiura

Takaya Matsuno

Hiroyuki Yanagihashi

Kazuo Kobayashi

Toshiharu Higuchi

Takehiko Isaka

Osamu Nakamura

Kimio Miseki

Katsuhisa Homma

Kiyomi Koyama

Yoshiaki Ouchi

Yusaku Kikugawa

Sadao Matsumoto

Eiichirou Uda

Shingo Suzuki

Koji Yamamoto

Kazunori Imoto

Atsuyoshi Yano

Tomoharu Awano

Kentaro Takeda

Hiroshi Fujimura

Masahiro Ozawa

Hirohisa Tasaki

Masahiro Sekino

Satoru Furuta

Shinichiro Kosugi

Tadashi Amada

Hideharu Takahashi

Shinpei Koshigoe

Hideki Tsutsui

Akinori Kawamura

Sakae Kimura

Mami Saito

Sachie Yokoyama

Toyokazu Itakura

Rumiko Hashiba

Toshihiro Fujibayashi

Takumi Fujiuchi

Atsushi Hotta

Osamu Sanbuichi

An eyeglasses-type wearable device of an embodiment can handle various data inputs. The device includes right and left eye frames corresponding to positions of right and left eyes and nose pads corresponding to a position of a nose. Eye motion detection electrodes (sightline detection sensor electrodes) are provided with the nose pads to detect the eye motion of a user. Transmitter/receiver electrodes (capacitance sensor electrodes) of a gesture detector are provided with a part of the right and left eye frames to detect a gesture of the user. Various data inputs are achieved by a combination of input A corresponding to a gesture of the user detected by the gesture detector and input B corresponding to the eye motion of the user detected by the eye motion detector.

Eyeglasses-type wearable device and method using the same

According to one embodiment, a system includes a wearable device configured to be attached to a display configured to display a display image. The wearable device features an optical component set featuring a lens, a first user operable member configured to set an adjustment value relating to a projection angle of the visual image, and a second user operable member configured to set an adjustment value relating to at least one of a color tone or a brightness of the visual image. A position of the visual image is changed by adjusting the projection angle of the visual image using the first user operable member so that the visual image is displayed at a position based on at least one of a shape or a size of the head of the user. The color tone or the brightness of the visual image is changed using the second user operable member.

System and method directed to an eyeglasses-type wearable device

System and method for virtual image adjustment

According to one embodiment, a failure detection apparatus includes processing circuitry. The processing circuitry acquires a time-series signal generated by a sensor module, generates an analysis result including information concerning saturation of the time-series signal by analyzing the time-series signal, and determine a failure of the sensor module based on the analysis result.

Failure detection apparatus and method and non-transitory computer-readable storage medium

According to one embodiment, a method executed by an electronic apparatus including storage configured to store device information including first position information indicating a position of a device installed in a particular range and risk information associated with use of the device is provided. The method includes receiving second position information indicating a position of a user wearing an eyeglasses-type wearable terminal and working within the particular range, from the eyeglasses-type wearable terminal and estimating a status of the user, based at least in part on the first position information and the risk information included in the device information, and the second position information.

Electronic apparatus and method

According to one embodiment, a state diagnosis apparatus includes a processing circuit. The processing circuit executes a model receiving, as an input, first data relating to a state of a device at each of a plurality of stages along a time series and outputting a first numerical value quantitatively indicating the first data for each of the stages. The processing circuit determines whether or not first numerical values output from the model monotonously change along the time series.

State diagnosis apparatus and system

According to one embodiment, a monitoring system includes a processor. The processor accepts first data output from a first detector. The first detector detects a signal caused by equipment. The processor performs a first determination when a first value is in a first state. The first value indicates a state of the first detector or an environment where the equipment is provided. The first determination determines a condition of the equipment by using a first model and the first data. The processor performs a second determination when the first value is in a second state different from the first state. The second determination determines the condition of the equipment by using a second model and the first data. The second model is different from the first model.

Monitoring system

According to one embodiment, a condition monitoring device includes a processor. The processor is configured to acquire a time-series signal about a condition of a monitor target from a first sensor, acquire operation timing information indicating start of operation of the monitor target, detect a first operation segment signal from the time-series signal based on the operation timing information, detect a second operation segment signal from the first operation segment signal based on a waveform feature of the first operation segment signal, and determine the condition of the monitor target based on the second operation segment signal.

Condition monitoring device, method, and storage medium

According to one embodiment, a learning apparatus includes a memory and a hardware processor connected to the memory which learns a transformation function to extract a feature value of an input signal. The hardware processor updates the transformation function based on a signal indicative of a first condition and a signal indicative of a second condition which is different from the first condition, using a first loss function on the signal indicative of the first condition and a second loss function on the signal indicative of the second condition. The second loss function is designed such that the second condition becomes distant from the first condition.

Learning apparatus, diagnostic apparatus, and learning method

According to one embodiment, a display and a sensor signal acceptor which accepts detection signals from a sensor are provided. A first display controller displays a first instruction for instructing a first work on the display, based on the detection signal which indicates an end of preparation for the first work. And, a second display controller displays a second instruction for instructing a next second work on the display, based on the detection signal which indicates an end of the first work.

Glasses-type wearable terminal and data processing method

Wearable device and method for visual image adjustment

According to one embodiment, a condition monitoring device includes a storage device and a processor. The storage device is configured to store in advance a template related to a second operation segment signal. The processor is configured to acquire a time-series signal from a first sensor, acquire operation timing information, detect a first operation segment signal from the time-series signal based on the operation timing information, detect a second operation segment signal in a segment identified based on a degree of similarity to the template of the first operation segment signal, and determine a condition of the monitored target based on the second operation segment signal. The template is updated based on the detected second operation segment signal.

Condition monitoring device and method

Growing community of inventors

Fuchu, Japan

Takashi Sudo