Journals

  • Robotics‐driven gait analysis: Assessing Azure Kinect’s performance in in‐lab versus in‐corridor environments“. Diego Guffanti, Alberto Brunete,Miguel Hernando, David Álvarez, Ernesto Gambao ,William Chamorro, Diego Fernández-Vázquez, Víctor Navarro-López, María Carratalá-Tejada, Juan Carlos Miangolarra-Page. Journal of Field Robotics, 2024, 1-13. DOI: https://doi.org/10.1002/rob.22313
  • Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis“. Diego Guffanti, Alberto Brunete, Miguel Hernando, David Álvarez, Javier Rueda, Enrique Navarro. Heliyon, 2024. https://doi.org/10.1016/j.heliyon.2024.e26227
  • “Performance of a Mobile 3D Camera to Evaluate Simulated Pathological Gait in Practical Scenarios”. Guffanti, D.; Lemus, D.; Vallery, H.; Brunete, A.; Hernando, M.; Horemans, H. Sensors 202323, 6944. https://doi.org/10.3390/s23156944
  • “ANN-Based Optimization of Human Gait Data Obtained From a Robot-Mounted 3D Camera: A Multiple Sclerosis Case Study”; D. Guffanti, A. Brunete, M. Hernando, E. Gambao and D. Álvarez; IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 8901-8908, Oct. 2022, doi: https://doi.org/10.1109/LRA.2022.3189433.
  • Development and validation of a ROS-based mobile robotic platform for human gait analysis applications“; D. Guffanti, A. Brunete, M. Hernando; Robotics and Autonomous Systems, Volume 145, Nov. 2021, 103869, ISSN 0921-8890, doi: https://doi.org/10.1016/j.robot.2021.103869
  • “ROBOGait: A Mobile Robotic Platform for Human Gait Analysis in Clinical Environments”; Guffanti, D.; Brunete, A.; Hernando, M.; Rueda, J.; Navarro, E.; Sensors, Oct. 202121, 6786: doi: https://doi.org/10.3390/s21206786
  • “Human Gait Analysis Using Non-invasive Methods with a ROS-Based Mobile Robotic Platform”; Guffanti, D., Brunete, A., Hernando Gutierrez, M. (2021). In: Rauter, G., Cattin, P.C., Zam, A., Riener, R., Carbone, G., Pisla, D. (eds) New Trends in Medical and Service Robotics. MESROB 2020. Mechanisms and Machine Science, vol 93. Springer, Cham; doi: https://doi.org/10.1007/978-3-030-58104-6_35
  • “The Accuracy of the Microsoft Kinect V2 Sensor for Human Gait Analysis. A Different Approach for Comparison with the Ground Truth”; Guffanti, D.; Brunete, A.; Hernando, M.; Rueda, J.; Navarro Cabello, E.; Sensors 202020, 4405. https://doi.org/10.3390/s20164405
  • “Non-Invasive Multi-Camera Gait Analysis System and its Application to Gender Classification”; D. Guffanti, A. Brunete and M. Hernando; IEEE Access, vol. 8, pp. 95734-95746, May 2020, doi: https://doi.org/10.1109/ACCESS.2020.2995474.

Conferences & Book Chapters

  • Sistema robótico no invasivo para el análisis biomecánico de la marcha humana (ROBOGAIT)“. Ponencia invitada: David Álvarez Sánchez y Javier Rueda Ojeda (UPM). Actas del XLV Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales. Rodríguez D, Sandino C (Eds). Barcelona, 2023. ISBN 978-84-09-55676-2. https://upcommons.upc.edu/handle/2117/395510
  • Análisis de viabilidad de un robot velocista para la evaluación de la carrera deportiva“. A. Brunete, D. Guffanti, M. Hernando, D. Álvarez , E. Gambao, C. Ferreira. JORNADAS NACIONALES DE ROBÓTICA Y BIOINGENIERÍA 2023. DOI: 10.20868/UPM.book.74896
  • Robots móviles para análisis de la marcha humana”, Alberto Brunete, Jornada RoboCity2030: La robótica inteligente en los retos de salud y asistenciales. 22 de marzo de 2023.
  • “ANN-Based Optimization of Human Gait Data Obtained From a Robot-Mounted 3D Camera: A Multiple Sclerosis Case Study”; D. Guffanti, A. Brunete, M. Hernando, E. Gambao and D. Álvarez; 2022 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS). Presentado y pendiente de publicación.
  • Sistema robótico móvil para el análisis de la marcha humana sin marcadores e identificación de patologías neurológicas, ROBOGait”; Diego Guffanti, Alberto Brunete, Miguel Hernando, Ernesto Gambao, David Álvarez; XII Jornadas Nacionales de Robótica, pp 50-56; Málaga, 18-20 de mayo, 2022, ISBN: 978-84-09-41095-8
  • “Human Gait Analysis Using Non-invasive Methods with a ROS-Based Mobile Robotic Platform”; Guffanti, D., Brunete, A., Hernando Gutierrez, M. (2021). In: Rauter, G., Cattin, P.C., Zam, A., Riener, R., Carbone, G., Pisla, D. (eds) New Trends in Medical and Service Robotics. MESROB 2020. Mechanisms and Machine Science, vol 93. Springer, Cham; doi: https://doi.org/10.1007/978-3-030-58104-6_35

PhD Thesis

  • “Design of a non-invasive cost-effective mobile robotic system for human gait analysis optimized by machine learning algorithms”, PhD Thesis. Diego Guffanti, 2021. Link