Implementation of a Smartphone as a Wearable and Wireless Gyroscope Platform for Machine Learning Classification of Hemiplegic Gait Through a Multilayer Perceptron Neural Network

Robert LeMoyne, Timothy Mastroianni. Implementation of a Smartphone as a Wearable and Wireless Gyroscope Platform for Machine Learning Classification of Hemiplegic Gait Through a Multilayer Perceptron Neural Network. In M. Arif Wani, Mehmed Kantardzic, Moamar Sayed Mouchaweh, João Gama, Edwin Lughofer, editors, 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018. pages 946-950, IEEE, 2018. [doi]

@inproceedings{LeMoyneM18,
  title = {Implementation of a Smartphone as a Wearable and Wireless Gyroscope Platform for Machine Learning Classification of Hemiplegic Gait Through a Multilayer Perceptron Neural Network},
  author = {Robert LeMoyne and Timothy Mastroianni},
  year = {2018},
  doi = {10.1109/ICMLA.2018.00153},
  url = {https://doi.org/10.1109/ICMLA.2018.00153},
  researchr = {https://researchr.org/publication/LeMoyneM18},
  cites = {0},
  citedby = {0},
  pages = {946-950},
  booktitle = {17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018},
  editor = {M. Arif Wani and Mehmed Kantardzic and Moamar Sayed Mouchaweh and João Gama and Edwin Lughofer},
  publisher = {IEEE},
  isbn = {978-1-5386-6805-4},
}