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http://dx.doi.org/10.12673/jant.2014.18.6.619

User Motion Recognition Healthcare System Using Smart-Band  

Park, Jin-Tae (School of Computer Science and Engineering, Korea University of Technology and Education)
Hwang, Hyun-Seo (School of Computer Science and Engineering, Korea University of Technology and Education)
Yun, Jun-Soo (School of Computer Science and Engineering, Korea University of Technology and Education)
Park, Gyung-Soo (School of Computer Science and Engineering, Korea University of Technology and Education)
Moon, Il-Young (School of Computer Science and Engineering, Korea University of Technology and Education)
Abstract
Nowadays there are various smart devices and development with the development of smart phones and that can be attached to the human body wearable computing device has been in the spotlight. In this paper, we proceeded developing wearable devices in watch type which can detect user's movement and developing a system which connects the wearable devices to smart TVs, or smart phones so that users can save and manage their physical information in those devices. Health care wearable devices already existing save information by connecting their systems to smart phones. And, smart TV health applications usually include motion detecting systems using cameras. However, there is a limit when connecting smart phone systems to different devices from various companies. Also, in case of smart TV, because some devices may not have cameras, there can be a limit for users who wants to connect their devices to smart TVs. Wearable device and user information collected by using the smart phone and when it is possible to exercise and manage anywhere. This information can also be confirmed by the smart TV applications. By using this system will be able to take advantage of the study of the behavior of the future work of the user more accurately be measured in recognition technology and other devices.
Keywords
Wearable; Health-band; Smart TV; Smartphone; Healthcare;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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