Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis

Juan Olmos, Juan Galvis, Fabio Martínez. Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis. In Ana Cristina Bicharra Garcia, Mariza Ferro, Julio Cesar Rodríguez Ribón, editors, Advances in Artificial Intelligence - IBERAMIA 2022 - 17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23-25, 2022, Proceedings. Volume 13788 of Lecture Notes in Computer Science, pages 3-14, Springer, 2022. [doi]

@inproceedings{OlmosGM22,
  title = {Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis},
  author = {Juan Olmos and Juan Galvis and Fabio Martínez},
  year = {2022},
  doi = {10.1007/978-3-031-22419-5_1},
  url = {https://doi.org/10.1007/978-3-031-22419-5_1},
  researchr = {https://researchr.org/publication/OlmosGM22},
  cites = {0},
  citedby = {0},
  pages = {3-14},
  booktitle = {Advances in Artificial Intelligence - IBERAMIA 2022 - 17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23-25, 2022, Proceedings},
  editor = {Ana Cristina Bicharra Garcia and Mariza Ferro and Julio Cesar Rodríguez Ribón},
  volume = {13788},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-22419-5},
}