Author:
Tomabechi Kazuya,Ikegami Yosuke,Yamamoto Ko,Nakamura Yoshihiko
Publisher
Springer Nature Switzerland
Reference10 articles.
1. Zhao, J.: A review of wearable IMU (Inertial-Measurement-Unit)-based pose estimation and drift reduction technologies. J. Phys: Conf. Ser. 1087(4), 042003 (2018)
2. Zihajehzadeh, S., Park, E.J.: A novel biomechanical model-aided IMU/UWB fusion for magnetometer-free lower body motion capture. IEEE Trans. Syst. Man Cybern. 47(6), 927–938 (2017)
3. Madgwick, S., et al.: An efficient orientation filter for inertial and inertial/magnetic sensor arrays. Report x-io Univ. Bristol (UK) 25, 113–118 (2010)
4. Mundt, M., Koeppe, A., David, S., Witter, T., Bamer, F., Potthast, W., Markert, B.: Estimation of gait mechanics based on simulated and measured IMU data using an artificial neural network. Front. Bioeng. Biotechnol. 8, 41 (2020)
5. Kim, W.Y., Seo, H.I., Seo, D.H.: Nine-Axis IMU-based extended inertial odometry neural network. Expert Syst. Appl. 178, 115075 (2021)
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