Abstract
Recently, due to the rapid increase in the elderly population, the interest in u-healthcare for personal and social needs is increasing. In addition, extensive medical information through various media services is one of the causes for the interest. However, the general public often doesn’t have the time to visit a medical authority for u-healthcare in many cases. The absence of a system that can be easily and quickly accessible anytime or anywhere to monitor health is a sad reality, especially in light of the rapid development of IT convergence technology. In this study, we proposed an interactive self-diagnostic system that monitors the human body for u-healthcare. First of all, this study separates the human body of an adult male and female into skin, muscles, and skeleton. And these three categories are then modeled using 3DS MAX. The 3D human body structures are able to be viewed with a 3D viewer of the system. One of the key features of this system is using the picking technique. If you select certain part of the human body in the 3D viewer, the system provides a variety of detailed medical information about the diseases associated with the selected part. The 3D viewer has the advantage of being able to view the structure of the human body realistically and intuitively. Medical information about diseases is comprised of simple and clearly organized data about the causes, symptoms, treatment, prevention, recommended food, and related medical institutions (such as hospitals) that can deal with the disease. If you use our system anytime or anywhere for u-healthcare, it can prevent diseases in advance and provide answers to many questions about disease-related symptoms.
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Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (No. 2012-0004478).
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Kim, SH., Chung, KY. (2013). Interactive Self-Diagnostic System Using Anatomical 3D Human Body. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_116
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DOI: https://doi.org/10.1007/978-94-007-5860-5_116
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