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.

Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer

“…Thus, the energy expenditure value is determined for each physical activity [18,19,24,25,27,36,45,50,52,56,73] on a time interval manner, instead of the instantaneous energy expenditure method [33].…”

Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor

“…Many smartwatches and armband fitness monitors contain accelerometer and gyroscopes [12] . Wearable accelerometers have been used to study activities of daily living [13] , [14] , [15] , [16] , inferring metabolic energy expenditure [17] , [18] , [19] , measuring gait parameters [20] and predicting falls [21] . They have also been used for the detection of tremor [22] , and for the assessment of tremor amplitude and frequency in ET [23] .…”