Exploring Use of Surface Electromyography during Horse Riding

Student thesis: Master thesis (including HD thesis)

  • Tina Andersen
4. term, Computer Science, Master (Master Programme)
We explore surface electromyography, which is a technology that enables measurement of muscle activity. This is very interesting within Horse-Rider Interaction as the technology enables riders to get information of their horse's which have yet not been accessible. We design and implement two prototypes: MyoCollect and HindHelp. MyoCollect is a data-collection system that using surface electromyography measure and collect muscle activity data of a horse's hind legs. We perform three test session with two different equipages and show how gait recognition can be performed using statistics and graph analysis. We then propose HindHelp which built upon MyoCollect by applying muscle activity data and presenting it to the rider during jumping training. Our results shows that it is possibly to measure muscle activity data on horses using surface electromyography. However it is crucial that the horse is shaved and sensors are placed correctly. Our analysis shows that the three gaits vary in average value, number of peaks, and distance between them. An evaluation of HindHelp shows that electromyography is useful in a horse-rider setting as it can provide riders with previously inaccessible information but demands high accuracy of sensors and knowledge of the musculature of horses.
LanguageEnglish
Publication date8 Jun 2017
Number of pages19
ID: 259413868