Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks
K. Vandevoorde, L. Vollenkemper, C. Schwan, M. Kohlhase, W. Schenck, Sensors 22 (2022).
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Sensors
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22
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7
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2481
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Vandevoorde, Koenraad ; Vollenkemper, Lukas ; Schwan, Constanze ; Kohlhase, Martin ; Schenck, Wolfram: Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. In: Sensors Bd. 22, MDPI AG (2022), Nr. 7
Vandevoorde K, Vollenkemper L, Schwan C, Kohlhase M, Schenck W. Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. Sensors. 2022;22(7). doi:10.3390/s22072481
Vandevoorde, K., Vollenkemper, L., Schwan, C., Kohlhase, M., & Schenck, W. (2022). Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. Sensors, 22(7). https://doi.org/10.3390/s22072481
@article{Vandevoorde_Vollenkemper_Schwan_Kohlhase_Schenck_2022, title={Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks}, volume={22}, DOI={10.3390/s22072481}, number={72481}, journal={Sensors}, publisher={MDPI AG}, author={Vandevoorde, Koenraad and Vollenkemper, Lukas and Schwan, Constanze and Kohlhase, Martin and Schenck, Wolfram}, year={2022} }
Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, and Wolfram Schenck. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors 22, no. 7 (2022). https://doi.org/10.3390/s22072481.
K. Vandevoorde, L. Vollenkemper, C. Schwan, M. Kohlhase, and W. Schenck, “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks,” Sensors, vol. 22, no. 7, 2022.
Vandevoorde, Koenraad, et al. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors, vol. 22, no. 7, 2481, MDPI AG, 2022, doi:10.3390/s22072481.
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