Designing Sensor Wear for Posture Estimation with Strain Sensors Using Digital Model

Yumeko Imamura, Kunihiro Ogata, Takeshi Kurata

Abstract: In this research, we have been developing a wearable motion measurement system for use in remote rehabilitation. A sensor wear with strain sensors is used to measure the motion of the upper limb during rehabilitation movements. Although the measurement target is four degrees of freedom, we aim for highly robust measurements by using 15 strain sensors. However, using actual equipment, it is difficult to find an optimal sensor arrangement by trial and error. Therefore, this study proposes a method for designing sensor placement by analysis, using a digital model that shows human and sensor systems. We designed the sensor wear using measured motions and constructed a model for joint angle estimation by machine learning using long short-term memory (LSTM). We verified the accuracy of the designed sensor wear by simulation.