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Diabetic and obese users given a Fitbit fitness tracker for seven months identified the device's playfulness, practicality, persuasiveness, personalization, and privacy as the top motivators for its use. These results provide insights into designing wearable health monitors that are engaging enough to effect long-term change. In the web extra at https://youtu.be/ByQNA06-pS8, guest editor Katarzyna...
Obesity is considered an endemic within the whole European continent, just as in most part of the developed world. Obesity poses an increasing risk, childhood obesity has more than doubled in children and tripled in adolescents in the past 30 years. To assess the impact of obesity we need to take into account the severity of the problems that obesity might cause, as risk is usually interpreted as...
Recent advances in mobile devices have made profound changes in people's daily lives. In particular, the impact of easy access of information by the smartphone has been tremendous. However, the impact of mobile devices on healthcare has been limited. Diagnosis and treatment of diseases are still initiated by occurrences of symptoms, and technologies and devices that emphasize on disease prevention...
This paper proposes a mechanism to monitor in real-time various heath conditions of obese people through a cloud-based serious game framework. We integrate body sensors and physical activity sensors within this gaming framework. Using a Treasure Hunting serious game scenario, we monitor various health and exercise related parameters of obese people during exercise such as heart rate, step count and...
This paper presents an automatic video analysis method for physical activity classification and measurement. A wearable device is used to capture daily life data for health monitoring. Physical activity is analyzed by using the change of surrounding scenes resulting from the motion of the wearer. Recognition of different physical activities is achieved by analyzing motion characteristics in images...
A modified genetic algorithm has been developed for the task of optimal parameter selection for compartmental models. As a case study, a predictive model of the emerging health threat of obesity in America was developed which incorporated varying levels of three treatment strategies in an attempt to decrease the amount of overweight Americans over a ten-year period. The genetic algorithm was then...
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