Abstract: Provided is a resin curing device capable of improving work efficiency when curing a liquid resin. A controller (2) of a resin curing device (1) controls opening degrees of three valves (51 to 53) so that a gas flow passage becomes a circulation passage (40) when an execution condition of an operation of feeding air to a curing furnace (10) is satisfied, and controls the opening degrees of the three valves (51 to 53) so that the gas flow passage becomes a bypass passage (41) when the execution condition is not satisfied (STEPS 30 to 41).

Abstract: The learning system includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: The learning apparatus includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: The server is a learning apparatus including a data acquisition unit and a learning unit. The data acquisition unit acquires profile data and a selected assistance level as learning data. The profile data indicates a profile related to a trainee before executing rehabilitation regarding rehabilitation executed using a walking training apparatus as a rehabilitation support system. The selected assistance level is an assistance level selected at the time of executing the rehabilitation. The learning unit learns to determine a recommended assistance level recommended to be selected when the trainee uses the rehabilitation support system based on the learning data. Further, the learning unit generates a trained model that receives the profile data and outputs the recommended assistance level based on the learning.

Abstract: There is provided an exercise condition detection apparatus that detects a physical exercise condition. The exercise condition detection apparatus includes: an exercise intensity calculation section 3 that acquires exercise intensity; a step number measurement device 11 and step number calculation section 5 that acquire step number information representing the number of steps per a unit time; and a determination section 4 that determines the exercise condition based on the exercise intensity acquired by the exercise intensity acquisition section and the step number information acquired by the step number information acquisition section.

Abstract: A measuring apparatus has a walking determining part configured to determine a walking state of a to-be-measured person, a moving state determining part configured to determine a moving state in a specific direction of the to-be-measured person, a measurement result output determining part configured to determine whether or not measurement information concerning a movement of the to-be-measured person is to be output, based on a determination result of the walking state of the to-be-measured person by said walking determining part and a determination result of the moving state of the to-be-measured person by the moving state determining part.