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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 343084, 7 pages
http://dx.doi.org/10.1155/2013/343084
Research Article

SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds

Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy

Received 18 July 2013; Revised 7 October 2013; Accepted 18 October 2013

Academic Editor: Strahinja Dosen

Copyright © 2013 Maurizio Schmid et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [15 citations]

The following is the list of published articles that have cited the current article.

  • Jan Grepl, Petr Vavra, Petr Ihnat, Milada Hlavackova, Marek Penhaker, Alice Krest'anova, and Jan Kubicek, “Design and Testing of radiofrequency instrument Ronja ICS,” 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 159–164, . View at Publisher · View at Google Scholar
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  • Jan Chrobok, Martin Schmidt, Marek Penhaker, Jan Kubicek, Milada Hlavackova, Petr Vavra, and Petr Ihnat, “Design and Stress Analysis of a System for Cleaning Needle Electrodes for Radiofrequency Ablation during Surgeries,” 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 153–158, . View at Publisher · View at Google Scholar
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  • Antonino Laudani, Gabriele Maria Lozito, Daniele Bibbo, and Silvia Conforto, “Solar energy harvest on bicycle helmet for smart wearable sensors,” RTSI 2017 - IEEE 3rd International Forum on Research and Technologies for Society and Industry, Conference Proceedings, 2017. View at Publisher · View at Google Scholar
  • Alvarez, Pulido, and Sierra, “Climbing/descending stairs detection using inertial sensors and implementing PCA and a SVM classifier,” IFMBE Proceedings, vol. 60, pp. 581–584, 2017. View at Publisher · View at Google Scholar
  • Daniele Bibbo, Stefano Gabriele, Andrea Scorza, Salvatore Andrea Sciuto, Maurizio Schmid, and Silvia Conforto, “Strain gauges position optimization in designing custom load cells for sport gesture analysis,” 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018, 2018. View at Publisher · View at Google Scholar
  • Hsi-Pin Ma, and Yong-Ting Wang, “Real-time continuous gesture recognition with wireless wearable IMU sensors,” 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018, 2018. View at Publisher · View at Google Scholar
  • D. Bibbo, S. Gabriele, A. Scorza, M. Schmid, S.A. Sciuto, and S. Conforto, “A Novel Technique to Design and Optimize Performances of Custom Load Cells for Sport Gesture Analysis,” Irbm, 2019. View at Publisher · View at Google Scholar
  • Alice Krestanova, Jan Kracmar, Milada Hlavackova, Jan Kubicek, Petr Vavra, Marek Penhaker, and Petr Ihnat, “Design and Testing of Radiofrequency Instrument RONLINE,” Information Technology in Biomedicine, vol. 1011, pp. 638–649, 2019. View at Publisher · View at Google Scholar
  • Vahid Farrahi, Maarit Kangas, Maisa Niemelä, Raija Korpelainen, and Timo Jämsä, “Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches,” Gait and Posture, vol. 68, pp. 285–299, 2019. View at Publisher · View at Google Scholar
  • Alfredo Lucas, John Hermiz, Jamie Labuzetta, Yevgeniy Arabadzhi, Navaz Karanjia, and Vikash Gilja, “Use of Accelerometry for Long Term Monitoring of Stroke Patients,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, pp. 1–10, 2019. View at Publisher · View at Google Scholar