Analysis of Acceleration Value based on the Location of the Accelerometer

• Published in: IAENG international journal of computer science Vol. 45; no. 1; p. 34
• Main Author: Choi, Shin-Hyeong
• Format: Journal Article
• Language: English
• Published: Hong Kong International Association of Engineers 10.02.2018
• Subjects: Acceleration; Accelerometers; Algorithms; Smartphones; Walking
• ISSN: 1819-656X; 1819-9224

Physical activity is essential for human health maintenance. We investigate the effects of acceleration change amount to the location of the accelerometer on the estimation of energy expenditure. We analyze the user’s walking motion, and classify them into three based on walking action in order to estimate the estimation of energy expenditure of smart phone users. In order to estimate activity energy expenditure, we use the method based on MET (Metabolic equivalents) values. All activities are assigned METs. MET is a value for expressing the intensity of physical activities. Through our experiment, it is clear that the acceleration data measured by holding smart phones in hand is more regularly than by wearing smart phones in the pocket, and also that the measurement method holding smart phones on hand is able to distinguish more easily activity type. In addition, we propose the activity classification algorithm to estimate the energy expenditure. This algorithm distinguishes between the three activities. And this algorithm is performed only for slow walking, fast walking and running. The reason is that three activities belong to different the motion of arms and the location of smart phones according to the activity type. In this paper, we confirm that the location of the smart phones varies with the three walking motion and are able to estimate more accurately energy expenditure.