Learning to Estimate External Forces of Human Motion in Video

Author:

Louis Nathan1,Corso Jason J.1,Templin Tylan N.2,Eliason Travis D.2,Nicolella Daniel P.2

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

2. Southwest Research Institute, San Antonio, TX, USA

Funder

NIH

Publisher

ACM

Reference39 articles.

1. Ryan S Alcantara , W Brent Edwards , Guillaume Y Millet , and Alena M Grabowski . 2021. Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution. bioRxiv ( 2021 ). Ryan S Alcantara, W Brent Edwards, Guillaume Y Millet, and Alena M Grabowski. 2021. Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution. bioRxiv (2021).

2. Alexei Baevski and Michael Auli . 2018. Adaptive input representations for neural language modeling. arXiv preprint arXiv:1809.10853 ( 2018 ). Alexei Baevski and Michael Auli. 2018. Adaptive input representations for neural language modeling. arXiv preprint arXiv:1809.10853 (2018).

3. Is space-time attention all you need for video understanding?;Bertasius Gedas;ICML,2021

4. Zhe Cao , Gines Hidalgo , Tomas Simon , Shih-En Wei , and Yaser Sheikh . 2019. OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields . IEEE transactions on pattern analysis and machine intelligence, Vol. 43 , 1 ( 2019 ), 172--186. Zhe Cao, Gines Hidalgo, Tomas Simon, Shih-En Wei, and Yaser Sheikh. 2019. OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields. IEEE transactions on pattern analysis and machine intelligence, Vol. 43, 1 (2019), 172--186.

5. End-to-End Object Detection with Transformers

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