Exciting new research into Icelandic gaits paves the way for a riding app that can recognise all five Icelandic gaits with up to 98% accuracy. TöltSense founder, and IHSGB member, Torben Rees has been working with Icelandic startup HorseDay and the University of Iceland to develop the algorithm. According to Torben:
TöltSense itself uses data streamed from a network of sensors worn on the legs of the horse. This is the basis for highly accurate gait classification and real-time analysis. Taking this technology as a starting point the team have utilised machine learning techniques to develop a mobile phone algorithm they call the ‘gait classifier’. The group has recently submitted their research to a peer-reviewed scientific journal, and the manuscript is available here at the preprint server Research Square.
In addition, Torben has conducted a thorough validation of the TöltSense system which is available here. The research shows that TöltSense exceeds 99% agreement with a panel of independent sport judge. Also, the accuracy of hoof-on and hoof-off timings is equivalent to frame-by-frame analysis of standard video.