Casio Computer Co., Ltd.

Mitsuyasu Nakajima

Takashi Yamaya

Yuki Yoshihama

Keiichi Sakurai

Akira Hamada

Masaru Tanaka

Kouichi Nakagome

Shinichi Matsui

Yasushi Maeno

Toshitsugu Sato

Ryohei Yamamoto

Masayuki Hirohama

Masaaki Sasaki

Kazuhisa Matsunaga

Masaaki Kikuchi

Tetsuji Makino

A bioinformation acquiring apparatus includes at least one processor and a memory configured to store a program to be executed in the processor. The processor acquires a waveform signal representing vibrations of a target, the vibrations resulting from heartbeats of the target; extracts provisional heartbeat timings from the acquired waveform signal based on a first time window; the provisional heartbeat timings indicating provisional values of heartbeat timings being timings at which the heartbeats of the target occur; acquires corrective peak timings from the acquired waveform signal based on a second time window having a shorter time length than the first time window, each of the corrective peak timings serving as a discrete correction unit for correction of the provisional heartbeat timings; corrects the extracted provisional heartbeat timings into definitive heartbeat timings based on the acquired corrective peak timings; and acquires bioinformation on the heartbeats of the target based on the corrected heartbeat timings.

Bioinformation acquiring apparatus, bioinformation acquiring method, and non-transitory recording medium

A bioinformation acquiring apparatus includes at least one processor; and a memory configured to store a program to be executed in the processor. The processor acquires bioinformation in a chronological order; derives outlier level parameters, the outlier level parameter indicating a level of inclusion of outliers of the bioinformation in pieces of bioinformation acquired within a first duration; derives correction terms based on the bioinformation after removal of the outliers of the bioinformation from pieces of bioinformation acquired within a second duration that is longer than the first duration; selects one or both of a first correction procedure and a second correction procedure based on the outlier level parameters, as a correction procedure, the first correction procedure using the correction terms, the second correction procedure involving interpolation irrelevant to the correction terms; and corrects the outliers of the bioinformation within the first duration by the selected correction procedure.

An autonomous mobile apparatus includes a memory and a processor. The processor is configured to acquire environment information that is information of a surrounding environment of the autonomous mobile apparatus, based on the acquired environment information, select, as an estimation environment map, an environment map that is suitable for the surrounding environment from among environment maps that are saved in the memory, and estimate a location of the autonomous mobile apparatus using the selected estimation environment map and an image of surroundings of the autonomous mobile apparatus that is captured by an imager.

Autonomous mobile apparatus, autonomous move method, and recording medium that use a selected environment map

A CAP detection device configured to acquire pulse wave data of a subject, derive a baseline of the data and an envelope of the baseline, identify a local maximum point of the envelope and determine, as CAP candidate points, a first local maximum point of the baseline before the local maximum point of the envelope and a second local maximum point of the baseline after the local maximum point, and identify, for each CAP candidate point, a third local maximum point of the baseline before the CAP candidate point and a local minimum point of the baseline between the CAP candidate point and the third local maximum point and detect the CAP candidate point as a CAP based on an evaluation value obtained from a difference between the CAP candidate point and the third local maximum point and a difference between the CAP candidate point and the local minimum point.

Cyclic alternative pattern (CAP) detection device, cyclic alternative pattern (CAP) detection method, and recording medium

An identification apparatus includes a processor and a memory configured to store a program to be executed by the processor. The processor acquires first image data obtained by capturing of an image of an affected area included in a skin or a mucosa by receiving first reception light. The first reception light is reflection light reflected from the affected area irradiated with first irradiation light including white light. The processor further acquires second image data obtained by capturing of an image of the affected area by receiving second reception light. The second reception light is light including light generated by fluorescent reaction in the affected area irradiated with second irradiation light. The second irradiation light includes light that allows the affected area to show fluorescent reaction when the affected area is irradiated with the light. The processor identifies the affected area based on the first image data and the second image data.

Identification apparatus, identifier training method, identification method, and recording medium

An exercise support device and an exercise support method are provided by which a judgment regarding the landing of the left and right feet of a user can be accurately made with low power consumption, so that the user can appropriately grasp and judge the balance of the use of the body in an exercise. First, based on changes in acceleration in a vertical direction with respect to the ground which has been acquired by a sensor section worn on the body during a running exercise, landing timing at which one of the left and right feet is landed is detected. Then, based on whether a difference between angular velocities around a traveling direction axis immediately after the latest landing timing and the preceding landing timing has a positive or negative value, whether the landed foot is the left foot or the right foot is judged.

Exercise support device, exercise support method and exercise support program

A diagnosis support apparatus for diagnosing a lesion based on a captured image composed of a multi-valued image, the apparatus includes a dermoscope-equipped image capturing device which captures the captured image; a storage device which stores the captured image; a display which displays the captured image stored in the storage device; and a processor which, under control of a stored program, processes the captured image stored in the storage device. The processor performs separating the captured image into a brightness component and a color information component; performing a first morphology processing which performs a dilation, an erosion, a smoothing filter processing, and subtraction processing, in this order, with respect to an image representing the brightness component, to generate a first image when acquiring a shape of regions having low pixel values from the image representing the brightness component, and extracting the image obtained as a result of the first morphology processing as a candidate region image; and performing a second morphology processing which performs an erosion, a dilation, a smoothing filter processing, and subtraction processing, in this order, with respect to an image indicating a likelihood of a region obtained from a color space composed of the brightness component and the color information component, to generate a second image when acquiring a shape of regions having high pixel values from the image indicating the likelihood of a region, and extracting the image obtained as a result of the second morphology processing as a likelihood image of a region. The display further displays the captured image having been processed by the processor.

Diagnosis support apparatus for lesion, image processing method in the same apparatus, and medium storing program associated with the same method

A determination on whether or not a local device position and a map contain an error is made. A position measurer of an autonomous movement device measures a local device position. A map memory stores the created map. A position estimator estimates the local device position. A determiner determines whether or not a difference between the measured position by the position measurer and the estimated position by the position estimator is within a predetermined error range. A map editor edits the stored map in the map memory when the determiner determines that the difference is out of the predetermined range.

Autonomous movement device, autonomous movement method and non-transitory recording medium

Provided is an exercise information display system including a sensor unit attached to an ankle of one leg of a human body to output data on a motion state of the leg and a control unit processing the data. The control unit acquires a parameter based on data output from the sensor unit in a case where the human body performs a calibration motion for acquiring the parameter expressing at least one of an attachment orientation and an attachment position in the one leg of the sensor unit and a posture of the one leg in standing on the one leg, generates a reproduction image where a motion state of the leg during the exercise is reproduced in pseudo manner based on data output from the sensor unit in a case where the human body performs exercise of moving the leg and the parameter, and displays an image including at least the reproduction image as exercise information on the display unit.

Exercise information display system, exercise information display method and computer-readable recording medium

The invention provides a method of processing an image in a diagnostic apparatus of diagnosing a cutaneous lesion using a cutaneous image, comprising the steps of: (a) obtaining a first detail image made by performing a first component separation filter on a brightness component of the cutaneous image; (b) obtaining a second detail image made by performing a second component separation filter on the brightness component of the cutaneous image, the second component separation filter having properties different from those of the first component separation filter; (c) generating a third detail image based on the first detail image and the second detail image; (d) newly generating a third base image based on the third detail image; and (e) combining the third detail image with the third base image to restore a brightness component and generate a highlighted image.

Image processing method to diagnose cutaneous lesion, diagnostic apparatus used for the same method, and medium storing program associated with the same method

A diagnostic apparatus for diagnosing a disease using a captured image of an affected area, the apparatus including a memory configured to memorize the captured image; and a processor configured to process the memorized image memorized in the memory. The processor is configured to perform a highlighting process which includes separating the captured image into the brightness component and a color information component; separating the brightness component into a base component and a detail component; highlighting the separated brightness component; and adding a region to be diagnosed in the captured image to the highlighted brightness component while a specified color of the region to be diagnosed is maintained.

Disease diagnostic apparatus, image processing method in the same apparatus, and medium storing program associated with the same method

A measurement apparatus including: a first sensor which continuously acquires a vertical direction acceleration generated in accordance with a traveling movement of a user, a second sensor which continuously acquires a travel direction acceleration generated in accordance with the traveling movement, a first determination unit which determines, based on a continuous change of the vertical direction acceleration and the travel direction acceleration, a plurality of landing points of time each being a point of time when a foot of the user lands, and a first acquiring unit which acquires, based on the plurality of landing points of time, a period required for one step of the user in the traveling movement.

Measurement apparatus, measurement method and non-transitory computer readable recording medium with program stored thereon

First extracting means of a processing unit, based on a brightness component and a color information component of a captured image separated by separating means, extract a candidate region using a first morphology processing based on the brightness component, and second extracting means of the processing unit extract a likelihood of a region from a color space composed of the brightness component and the color information component and perform a second morphology processing to generate a region-extracted image, which is displayed on the display device. In this case, the morphology processing including the smoothing filter processing is performed on an extracted candidate region and an extracted likelihood of the region.

An image processing method for diagnosing a disease using a captured image of an affected area, includes separating the captured image memorized into a brightness component and a color information component; separating the brightness component into a base component and a detail component; performing a highlighting process on the detail component; and restoring a brightness component from the base component and a highlighted detail component, and then generating a highlighted image using a restored brightness component and the color information component. The highlighting process includes highlighting the detail component depending on likelihood of vessel of a region to be diagnosed. In the highlighting process, the color information component that corresponds to a direction of a red-based color in a first color space is acquired; a predetermined range of the color information component is normalized; and a likelihood (V) of vessel of the region as acquired via the normalization is reflected in a highlighting coefficient of the detail component to generate a highlighted detail component image.

The invention provides an image processing method in a diagnostic apparatus of diagnosing a disease using a captured image of an affected area, comprising the steps of: (i) separating the captured image memorized into a brightness component and a color information component (Step S); (ii) separating the brightness component into a base component and a detail component (Step S); (iii) performing a highlighting process on the base component and/or the detail component (Step S-S); and (iv) restoring a brightness component from a highlighted base component and the detail component, and/or from the base component and a highlighted detail component, and using the restored brightness component and the color information component to generate a highlighted image (Step S).

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Tokyo, Japan

Mitsuyasu Nakajima