Daixi Chen, Yuchen Du, Yuan Liu, Jun Hong, Xiaojian Yin, Zhuoting Zhu, Jingjing Wang, Junyao Zhang, Jun Chen, Bo Zhang, Linlin Du, Jinliuxing Yang, Xiangui He, Xun Xu
To develop and validate a machine learning based algorithm to estimate physical activity (PA) intensity using the smartwatch with the capacity to record PA and determine outdoor state. Two groups of participants, including 24 adults (13 males) and 18 children (9 boys), completed a sequential activity trial. During each trial, participants wore a smartwatch, and energy expenditure was measured using indirect calorimetry as gold standard. The support vector machine algorithm and the least squares regression model were applied for the metabolic equivalent (MET) estimation using raw data derived from the smartwatch...
April 25, 2024: Scientific Reports