DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Mundt, M., W. R. Johnson, W. Potthast, B. Markert, A. Mian, and 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 (9th ed.) Citation

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.