Horse movement analyze with MEMS sensors and 2D visualization of measurement data

The aim of the work was to develop a proprietary autonomous system for multi-parameter examination of horse movement using MEMS sensors. Achieving this goal involved solving many technical and methodological issues related to the selection of sensors as well as research on the hardware, software, and methodology required for the system. A new methodology to determine linear acceleration vectors and angular velocities in the multivariate space and enable the visualization of the processed data in the form of dot-plot images was proposed. For the first time 2D dot-plot images were successfully applied to visualize differences between health and sick horses.