VO2 estimation using 6-axis motion sensing data

摘要

The information on energy expenditure of people playing various types of sports can be exploited for diagnosing their physical conditions, which helps the avoidance of their diseases and injuries during sports activities. The energy expenditure can be calculated from oxygen consumption (VO2) that can be directly measured by a VO2 meter, however, it is not reasonable for people playing sports to wear it during intensive activities. Therefore, VO2 estimation using acceleration data obtained by small accelerometer has been proposed. In this paper, we first investigate the accuracy of VO2 estimation based on l1 and l2 norms calculated from triaxial acceleration data. Then, we focus on the estimation using motion sensor that can measure 6-axis motion data. The estimation accuracy is investigated based on experimental data consisting of VO2 and motion sensing data of people with different intensities of exercises, which were measured by a VO2 meter and 6-axis motion sensor, respectively. Our numerical results show that the proposed estimation method, which treats data on 6 different axes separately and independently, can improve the estimation accuracy in comparison to a reference method that is based on the estimation using norm information.