title: Estimation of activity energy expenditure: accelerometer approach.
abstract: A novel algorithm estimating the calorie expenditure during physical activities is introduced. The physical activity is quantified by the integration of the accelerometer signals obtained from the 3D accelerometer fixed at the waist level of the human body. Simultaneous measurements of activity and calorie expenditure using 3D accelerometer and gas analyzer show the activity calorie expenditure increases as the activity increases with different rates depending on the type of activities (e.g., walking, running) as well as the physical characteristics of the subjects (e.g., gender, age, mass, and height). Based on the experimental data gathered from 94 subjects, we suggest a new algorithm estimating the activity calorie expenditure dependent on the demographic data of the subjects and the types of the activity.
authors.affiliation: U-Health Program, Digital Lab, Samsung Advanced Institute of Technology, San 14-1, Giheung-eup, Yongin-si, Gyeonggi-do, Republic of Korea 440-600.
authors.forename: Jee
authors.initials: J
authors.lastname: Hyun Choi
authors.forename: Jeongwhan
authors.initials: J
authors.lastname: Lee
authors.forename: Hyun
authors.initials: H
authors.lastname: Tai Hwang
authors.forename: Jong
authors.initials: J
authors.lastname: Pal Kim
authors.forename: Jae
authors.initials: J
authors.lastname: Chan Park
authors.forename: Kunsoo
authors.initials: K
authors.lastname: Shin