Medicine and Health Sciences Commons^™

Development Of A Human Activity Recognition System For Ballet Tasks, Danica Hendry, Kevin Chai, Amity Campbell, Luke Hopper, Peter O'Sullivan, Leon Straker

Research outputs 2014 to 2021

Background Accurate and detailed measurement of a dancer’s training volume is a key requirement to understanding the relationship between a dancer’s pain and training volume. Currently, no system capable of quantifying a dancer’s training volume, with respect to specific movement activities, exists. The application of machine learning models to wearable sensor data for human activity recognition in sport has previously been applied to cricket, tennis and rugby. Thus, the purpose of this study was to develop a human activity recognition system using wearable sensor data to accurately identify key ballet movements (jumping and lifting the leg). Our primary objective was …