LEARNING SYSTEM, WALKING TRAINING SYSTEM, METHOD, PROGRAM, AND TRAINED MODEL

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...

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Bibliographische Detailangaben
Hauptverfasser:	OTSUKI, Nobuhisa, NAKASHIMA, Issei, KITO, Hodaka, YAMAMOTO, Manabu
Format:	Patent
Sprache:	eng
Schlagworte:	ARTIFICIAL RESPIRATION BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSESOR SPECIFIC PARTS OF THE BODY CALCULATING CHAMBERS PROVIDED WITH MANIPULATION DEVICES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS ELECTRIC DIGITAL DATA PROCESSING HAND TOOLS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MANIPULATORS MASSAGE MEDICAL OR VETERINARY SCIENCE PERFORMING OPERATIONS PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING ORSTIMULATING REFLEX POINTS IN THE BODY PHYSICS PORTABLE POWER-DRIVEN TOOLS SURGERY TRANSPORTING
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Beschreibung
Zusammenfassung:	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.