Abstract—This paper constructed a database of the national representative level of a professional horse-rider by wearing a motion-capture suit attached with 16 inertial sensors under an inertial sensor-based wireless network environment, then made a visual comparative analysis through a few methods (graphical and statistical) on the values of all motion features (elbow angle, knee angle, knee-elbow distance, backbone angle and hip position) classified depending on horse types (using two horses named Warm-blood and Thoroughbred) and footpace types (at a trot and a canter) and obtained by various methods of calculating Euclidean distance, the second cosine, maximum and minimum values, and made a comparative analysis depending on motion featur...
With the emergence of numerical sensors in sports, there is an increasing need for tools and methods...
Equestrian sports report three to five times higher incidence rates for lower back pain than that of...
Equine training activity detection will help to track and enhance the performance and fitness level ...
In this paper, we describe and validate the EquiMoves system, which aims to support equine veterinar...
In this paper, we describe and validate the EquiMoves system, which aims to support equine veterinar...
In this paper, we describe and validate the EquiMoves system, which aims to support equine veterinar...
In the past decade, wearable sensors for animals have been significantly advanced. When paired with ...
The increasing number of possibilities to monitor both physical and mental health in animals comes w...
In this study, we classify four horse gaits (walk, sitting trot, rising trot, canter) of three breed...
Automated gait classification has traditionally been studied using horse-mounted sensors. However, s...
For centuries humans have been fascinated by the natural beauty of horses in motion and their differ...
© 2016 IEEE. When it comes to equestrian disciplines, the horse-rider dyad is amongst the most discu...
A Design Science methodology was used to create a context recognition method for data from a single,...
The domestication of horses took place at least 2000 BCE. Since then, horses have been used for tran...
Analyzing equestrian show jumping and dressage training movements can be greatly useful during train...
With the emergence of numerical sensors in sports, there is an increasing need for tools and methods...
Equestrian sports report three to five times higher incidence rates for lower back pain than that of...
Equine training activity detection will help to track and enhance the performance and fitness level ...
In this paper, we describe and validate the EquiMoves system, which aims to support equine veterinar...
In this paper, we describe and validate the EquiMoves system, which aims to support equine veterinar...
In this paper, we describe and validate the EquiMoves system, which aims to support equine veterinar...
In the past decade, wearable sensors for animals have been significantly advanced. When paired with ...
The increasing number of possibilities to monitor both physical and mental health in animals comes w...
In this study, we classify four horse gaits (walk, sitting trot, rising trot, canter) of three breed...
Automated gait classification has traditionally been studied using horse-mounted sensors. However, s...
For centuries humans have been fascinated by the natural beauty of horses in motion and their differ...
© 2016 IEEE. When it comes to equestrian disciplines, the horse-rider dyad is amongst the most discu...
A Design Science methodology was used to create a context recognition method for data from a single,...
The domestication of horses took place at least 2000 BCE. Since then, horses have been used for tran...
Analyzing equestrian show jumping and dressage training movements can be greatly useful during train...
With the emergence of numerical sensors in sports, there is an increasing need for tools and methods...
Equestrian sports report three to five times higher incidence rates for lower back pain than that of...
Equine training activity detection will help to track and enhance the performance and fitness level ...