FATIGUE STATE DETERMINATION METHOD, LEARNING MODEL GENERATION METHOD, FATIGUE STATE DETERMINATION SYSTEM, FATIGUE STATE DETERMINATION DEVICE, AND COMPUTER PROGRAM

• Main Authors: MITSUI KENTARO, TOMITA NAOYUKI, KIYONO YUSUKE
• Format: Patent
• Language: English; Japanese
• Published: 21.01.2022
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

To provide a fatigue state determination method, a learning model generation method, a fatigue state determination system, a fatigue state determination device, and a computer program for determining presence or absence of fatigue in the lower extremity by using an acceleration sensor.SOLUTION: In a fatigue state determination method, an acceleration rate, an angular speed, and earth magnetism are repeatedly measured by a sensor mounted on the leg of a person while the person is walking. In a case where a history of the acceleration rate, the angular speed, and the earth magnetism while the person is walking is input, the history of the acceleration rate, the angular speed, and the earth magnetism measured by the sensor is input to a learning model for outputting information indicating whether a state of the person is the state before performing a motion accompanied by fatigue in the lower extremity or it is the state after that. According to the information output by the learning model, it is determined whether the state of the person wearing the sensor on the leg is the state before performing the motion or the state after that.SELECTED DRAWING: Figure 1 【課題】加速度センサを用いて、下肢の疲労の有無を判定する疲労状態判定方法、学習モデル生成方法、疲労状態判定システム、疲労状態判定装置、及びコンピュータプログラムを提供する。【解決手段】疲労状態判定方法では、人の足に装着されたセンサにより、歩行中の加速度、角速度及び地磁気を繰り返し測定し、人の歩行中の加速度、角速度及び地磁気の履歴を入力した場合に、前記人の状態が下肢の疲労を伴う動作を行う前の状態であるか後の状態であるかを示す情報を出力する学習モデルへ、前記センサにより測定された加速度、角速度及び地磁気の履歴を入力し、前記学習モデルが出力した前記情報に応じて、前記センサを足に装着した人の状態が前記動作を行う前の状態であるか後の状態であるかを判定する。【選択図】図１