Abstract:
A factor estimation system is a factor estimation system that estimates a factor of fall risk indicating a possibility of a fall of a measured person, including: a calculator that obtains body motion data indicating body motion of the measured person during walking, and calculates two or more walking parameters of the measured person based on the body motion data obtained; and a factor analyzer that estimates, based on the two or more walking parameters, one or more main components that are included in the factor of the fall risk of the measured person and are based on the two or more walking parameters, and outputs an estimation result.
Abstract:
A leg muscle strength estimation system includes: an obtainer that obtains an image including a user that is walking as a subject of the image; and an estimator that estimates a leg muscle strength of the user based on the obtained image.
Abstract:
An exemplary image forming apparatus includes: an illumination system which sequentially emits illuminating light beams from multiple different irradiation directions; an image sensor which captures a plurality of different images in the multiple different irradiation directions, respectively; an image processing section which forms a high-resolution image; and a memory which stores data about the ratio of light rays that have been incident on a photoelectric conversion section of each pixel of the image sensor to light rays that have passed through the upper surface of a plurality of subpixels included in the pixel with respect to each of the multiple irradiation directions. The image processing section forms the high-resolution image based on the data that has been retrieved from the memory by extracting, as a vector, a set of pixel values associated with the multiple irradiation directions from pixel values that form each of the plurality of images.
Abstract:
An image measurement device including: light sources that irradiate light beams having different peak wavelengths; a staining method obtaining unit which obtains information indicating a staining method of an inspection specimen; an image obtaining unit which: selects a combination of light sources according to the staining method, based on illumination information; and capture inspection images of the inspection specimen with light beams from the selected light sources, and capture reference images of a reference specimen with light beams from the respective light sources; a calculating unit which calculates a positivity based on the inspection images; and an evaluation unit which associates the staining method of the reference specimen with the combination of light sources to generate the illumination information based on a total value of coefficients in a linear sum of the ortho-normalization base vectors of a spectral distribution of light sources calculated based on the reference images.
Abstract:
An exemplary image forming apparatus according to the present disclosure includes: a light source which irradiates an object with light and of which the orientation and position are fixed; a tilting mechanism which tilts the object at multiple tilt angles; an image sensor which is arranged at a position where the light that has been transmitted through the object is incident, gets tilted along with the object by the tilting mechanism, and captures a plurality of images at the multiple tilt angles; and an image processing section which forms a high-resolution image of the object, having a higher resolution than any of the plurality of images, by synthesizing the plurality of images together.