Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
An imaging apparatus generates a 3D model using a photographed image of a subject and generates a 3D image based on the 3D model. When a corresponding point corresponding to a point forming the 3D model does not form a 3D model generated using a photographed image photographed at a different photographing position, the imaging apparatus determines that the point is noise, and removes the point determined as noise from the 3D model. The imaging apparatus generates a 3D image based on the 3D model from which the point determined as noise is removed.