DocumentCode :
244733
Title :
Semi-automated lifestyle manager for obesity
Author :
Young-Seob Jeong ; Ho-Jin Choi ; Yong-Jin Kwon ; Kyu-Chang Kang ; Ju-Yeon Lee ; Hye-Hyon Kim ; Hyun-Ae Park ; Ju-Han Kim
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear :
2014
fDate :
15-17 Jan. 2014
Firstpage :
229
Lastpage :
230
Abstract :
Existing healthcare services on smartphones are not convenient to use as they typically require too many manual inputs from users. This paper presents a semi-automated obesity-care application for helping people manage their own lifestyles. In our approach, a person´s lifestyle is captured by a log of daily activities performed (e.g., eating, visiting, etc.), which can be captured automatically. For this purpose, the application recognizes the current location of the user and logs the history of his/her visiting places over time. This log can be used to deduce the type and the duration of the user´s activities and then the calorie consumption. The application also helps the user aware of his/her own lifestyle and BMI changes, and records this information for future usage such as when meeting a doctor for a clinical purpose. We have implemented the application on the Android platform and demonstrate the usefulness of this approach by illustrating the screen designs.
Keywords :
health care; medical computing; smart phones; Android platform; BMI; calorie consumption; clinical purpose; healthcare services; obesity; screen designs; semi-automated lifestyle manager; smartphones; user activities; History; Manuals; Mobile communication; Obesity; Smart phones; Telecommunications; behavioral pattern; lifestyle manager; semi-automatic health-care service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data and Smart Computing (BIGCOMP), 2014 International Conference on
Conference_Location :
Bangkok
Type :
conf
DOI :
10.1109/BIGCOMP.2014.6741441
Filename :
6741441
Link To Document :
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