Patent ID: 11937918
Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 5:
6. The operation method of the walking training system according to claim 4, comprising outputting the abnormal walking pattern using a trained model, wherein:
the trained model causes a computer to function so as to output an abnormal walking pattern that is associated with an input abnormal walking pattern based on rehabilitation data for evaluation acquired in a walking training system,
the trained model is a learning model generated by a server,
the server is configured to:
acquire rehabilitation data from a walking training system comprising a motor configured to assist a walking motion of a trainee, a sensor configured to detect data regarding the walking motion assisted by the motor, and a processor configured to control the motor in accordance with a setting parameter of the plurality of setting parameters;
generate learning data based on the rehabilitation data; and
perform machine learning using the learning data,

the sensor is provided to detect a plurality of motion amounts in the walking motion of the trainee,
for each walking cycle of the walking motion, when at least one of the motion amounts matches one of predetermined abnormal walking criteria, the walking motion of the trainee is evaluated as an abnormal walking pattern that meets the matched abnormal walking criterion,
the server generates each of the pieces of rehabilitation data in a walking cycle before and after a change in results of evaluation of the abnormal walking pattern as learning data,
the server sequentially inputs each of the pieces of rehabilitation data in the walking cycle before and after the change in the results of the evaluation as one data set, thereby performing machine learning, and
the server constructs the learning model that receives the setting parameter and outputs the abnormal walking pattern.