Abstract:
An image generating system according to an aspect of the present disclosure includes an image obtaining device, an image generating circuit, and an image processing circuit. The image obtaining device includes an illuminating system that irradiates an object included in a module in which the object and an imaging element are integrated together, with light sequentially from a plurality of different radiation directions. The image obtaining device obtains a plurality of images corresponding to the plurality of different radiation directions. The image generating circuit generates a high-resolution image of the object having a higher resolution than each of the plurality of images by combining the plurality of images together. The image processing circuit detects noise resulting from a foreign object located farther from an imaging surface of the imaging element than the object and removes the noise.
Abstract:
An apparatus generates motor function estimation information by performing a process including calculating, using a sensor value of a subject, a feature vector corresponding to a feature value of a feature in a time segment, acquiring a first weight vector using the feature vector and a motor ability value of the subject, calculating a gradient vector with respect to the feature vector, determining a new time segment in the predetermined time period and a new feature value based on the new time segment, calculating, using the sensor value, a feature candidate vector corresponding to a feature value of the new feature in the new time segment, determining a feature candidate vector satisfying a predetermined condition associated with a gradient vector based on a difference between the feature candidate vector and the feature vector, and correcting the first weight vector to a second weight vector using the feature candidate vector.
Abstract:
A display control apparatus includes a memory and a circuit. The circuit obtains an electrophoretic image from the memory, causes a display to display the electrophoretic image as a first display image, receives a selection of a first pixel in the electrophoretic image displayed on the display, obtains one or more first useful proteins corresponding to the first pixel and one or more second useful proteins corresponding to one or more second pixels, a length between the first pixel and each of the one or more second pixels being less than or equal to a first length among the pixels, and causes the display to display the electrophoretic image, the one or more first useful proteins, and the one or more second useful proteins as a second display image.
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 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:
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:
A learning apparatus includes at least one memory and at least one circuit. The circuit (a) obtains a first neural network that has learned by using source learning data and obtains target learning data, the target learning data including a plurality of first data items each of which is given a first label and a plurality of second data items each of which is given a second label, (b) obtains a plurality of first output vectors by inputting the plurality of first data items to a second neural network and obtains a plurality of second output vectors by inputting the plurality of second data items to the second neural network, and (c) generates a first relation vector corresponding to the first label by using the plurality of first output vectors and generates a second relation vector corresponding to the second label by using the plurality of second output vectors.
Abstract:
A walking stick includes a main part that is stick-like, a sensor that detects at least one of an acceleration of the main part and an angular velocity of the main part, a light emitter that emits light on a ground, a balance evaluator that evaluates a user's walking balance stability based on at least one of the detected acceleration and the detected angular velocity, and an emitting controller that controls a light emitting direction of the light based on a result of the evaluation and an inclination angle of the main part.
Abstract:
An anomaly detection method includes generating second data by adding normal noise to first data; generating third data by adding abnormal noise to the first data; inputting the first data, the second data, and the third data to a neural network; calculating a first normal score, a second normal score, and a third normal score; calculating a third difference based on a first difference and a second difference, the first difference being based on a difference between the first normal score and the second normal score, the second difference being based on a difference between the first normal score and the third normal score; changing the neural network so that the third difference becomes smallest; inputting, to the changed neural network, fourth data that is unknown in terms of whether the fourth data is normal or abnormal; and determining whether the fourth data is normal or abnormal.
Abstract:
An exercise test evaluation system includes an acceleration sensor that is worn by a user during an exercise test and acquires acceleration values of a foot of the user, a heart rate sensor that is worn by the user and measures a heart rate of the user, and a processor. The processor acquires a first maximum acceleration value and a second maximum acceleration value, calculates a reliability score using the first and second maximum acceleration values, acquires a walking velocity and a heart rate of the user and estimates a maximum oxygen intake amount using the user's walking velocity and heart rate if the reliability score is equal to or higher than a specific threshold value, and estimates the maximum oxygen intake amount using the user's walking velocity if the reliability score is lower than the specific threshold value.