Application and Challenges of Smart Wearable Devices in Equestrian Training

This study explores the application of smart wearable devices in equestrian training using methods such as random regression forest and XGBoost. It analyzes in detail how these devices can enhance training effectiveness, such as through motion capture devices that accurately record rider movements. However, in practical applications, smart wearable devices face numerous challenges, including technical issues such as sensor accuracy affecting data accuracy, unstable data transmission, and complex operation, as well as non-technical issues such as the acceptance of riders, coaches, and horses. To address these issues, we propose corresponding countermeasures and outline the future development direction of intelligent wearable devices in equestrian training, aiming to provide theoretical support and practical reference for the scientific and intelligent development of equestrian training.