Mundt, M, Johnson, W. R., Potthast, W, Markert, B, Mian, A & Alderson, J. (2021). A comparison of three neural network approaches for estimating joint angles and moments from inertial measurement units. Sensors, 21 (13), 4535. Zugriff am 16.07.2021 unter https://doi.org/10.3390/s21134535
APA-Zitierstil (7. Ausg.)Mundt, M., Johnson, W. R., Potthast, W., Markert, B., Mian, A., & Alderson, J. (2021). A comparison of three neural network approaches for estimating joint angles and moments from inertial measurement units. Sensors, 21(13), 4535.
Chicago-Zitierstil (17. Ausg.)Mundt, M., W. R. Johnson, W. Potthast, B. Markert, A. Mian, und J. Alderson. "A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units." Sensors 21, no. 13 (2021): 4535.
MLA-Zitierstil (9. Ausg.)Mundt, M., et al. "A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units." Sensors, vol. 21, no. 13, 2021, p. 4535.