Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19498, first published .
Agreement Between Spatiotemporal Gait Parameters Measured by a Markerless Motion Capture System and Two Reference Systems—a Treadmill-Based Photoelectric Cell and High-Speed Video Analyses: Comparative Study

Agreement Between Spatiotemporal Gait Parameters Measured by a Markerless Motion Capture System and Two Reference Systems—a Treadmill-Based Photoelectric Cell and High-Speed Video Analyses: Comparative Study

Agreement Between Spatiotemporal Gait Parameters Measured by a Markerless Motion Capture System and Two Reference Systems—a Treadmill-Based Photoelectric Cell and High-Speed Video Analyses: Comparative Study

Journals

  1. Simoni L, Scarton A, Macchi C, Gori F, Pasquini G, Pogliaghi S. Quantitative and Qualitative Running Gait Analysis through an Innovative Video-Based Approach. Sensors 2021;21(9):2977 View
  2. Young F, Mason R, Morris R, Stuart S, Godfrey A. Internet-of-Things-Enabled Markerless Running Gait Assessment from a Single Smartphone Camera. Sensors 2023;23(2):696 View
  3. Jaén-Carrillo D, Ruiz-Alias S, Chicano-Gutiérrez J, Ruiz-Malagón E, Roche-Seruendo L, García-Pinillos F. Test-Retest Reliability of the MotionMetrix Software for the Analysis of Walking and Running Gait Parameters. Sensors 2022;22(9):3201 View
  4. Jaén-Carrillo D, García-Pinillos F, Chicano-Gutiérrez J, Pérez-Castilla A, Soto-Hermoso V, Molina-Molina A, Ruiz-Alias S. Level of Agreement between the MotionMetrix System and an Optoelectronic Motion Capture System for Walking and Running Gait Measurements. Sensors 2023;23(10):4576 View