Equimetrics -- Applying HAR principles to equestrian activities

September 18, 2024 Β· Entered Twilight Β· πŸ› International Workshop on Sensor-based Activity Recognition and Interaction

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Authors Jonas PΓΆhler, Kristof Van Laerhoven arXiv ID 2409.11989 Category cs.HC: Human-Computer Interaction Citations 1 Venue International Workshop on Sensor-based Activity Recognition and Interaction Repository https://github.com/limlug/equimetrics Last Checked 7 days ago
Abstract
This paper presents the Equimetrics data capture system. The primary objective is to apply HAR principles to enhance the understanding and optimization of equestrian performance. By integrating data from strategically placed sensors on the rider's body and the horse's limbs, the system provides a comprehensive view of their interactions. Preliminary data collection has demonstrated the system's ability to accurately classify various equestrian activities, such as walking, trotting, cantering, and jumping, while also detecting subtle changes in rider posture and horse movement. The system leverages open-source hardware and software to offer a cost-effective alternative to traditional motion capture technologies, making it accessible for researchers and trainers. The Equimetrics system represents a significant advancement in equestrian performance analysis, providing objective, data-driven insights that can be used to enhance training and competition outcomes.
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