스마트폰 사용자의 행동 종류를 감안한 칼로리 소모량 추정 스마트폰 앱 개발 = Development of a Smartphone App for Estimating Caloric Expenditure Considering Smartphone User’s Activity Types

다국어 초록 (Multilingual Abstract)

In recent years, in order to increase the interest in healthy living there is a growing need for the techniques that can measure the calories consumed in everyday life. As a result, the apps measuring calorie consumption have been actively developed. However, the developed mobile apps have not achieved a high level of accuracy. One of the main causes of these problems is lack of consideration of the types of human activity types. We collected the data from the smartphone’s accelerometer for six types of the activities from four individuals and experimented with the random forest classifier using 10-fold cross validation. We achieved good classification accuracy and proposed a method to obtain the estimated value of caloric expenditure by using it. The proposed technique will help to estimate more accurate than the previous, and would be effectively used to analyze long-term caloric expenditure trends.

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