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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khalil, A. Glal, S. |
| Copyright Year | 2009 |
| Description | Author affiliation: College of Engineering and Computer Sciences, Abu Dhabi University, AL Ain , United Arab Emirates (Khalil, A.; Glal, S.) |
| Abstract | The Gulf States currently have one of the highest rates of diabetes and obesity in the world. It is blamed on a sedentary lifestyle and easy access to food high in fat and calories. Lifestyle choices such as physical activities and diet are the major force in fighting diabetes and obesity. The adoption of protective behaviors as well as healthful habits is a crucial factor in the prevention of these diseases. The first step in making healthy lifestyle choices is having information that helps in the decision-making process. In this paper, we present the design, implementation, and evaluation of the StepUp application a step counter application. StepUp exploits off-the-shelf sensor-enabled mobile phones to automatically infer the number of steps the user walked. The application goal is to give the user a quantitative measure of his or her daily activities and to increase the user awareness and understanding of the importance of exercise and facilitate the integration of regular exercise into their daily life. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 5356430 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424457540 |
| e-ISBN | 9781424457571 |
| e-ISBN | 9781424457564 |
| DOI | 10.1109/CTIT.2009.5423113 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-15 |
| Publisher Place | United Arab Emirates |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision making Educational institutions Mobile handsets Application software Statistics Counting circuits Diseases Step counting Step detection Diabetes Acceleration Protection Mobile computing |
| Content Type | Text |
| Resource Type | Article |
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