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http://dx.doi.org/10.7840/kics.2016.41.3.347

Software Architecture of a Wearable Device to Measure User's Vital Signal Depending on the Behavior Recognition  

Choi, Dong-jin (Kyungpook National University, Department of Convergence Software)
Kang, Soon-Ju (Kyungpook National University, College of IT Engineering, School of Electronics Engineering)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.41, no.3, 2016 , pp. 347-358 More about this Journal
Abstract
The paper presents a software architecture for a wearable device to measure vital signs with the real-time user's behavior recognition. Taking vital signs with a wearable device help user measuring health state related to their behavior because a wearable device is worn in daily life. Especially, when the user is running or sleeping, oxygen saturation and heart rate are used to diagnose a respiratory problems. However, in measuring vital signs, continuosly measuring like the conventional method is not reasonable because motion artifact could decrease the accuracy of vital signs. And in order to fix the distortion, a complex algorithm is not appropriate because of the limited resources of the wearable device. In this paper, we proposed the software architecture for wearable device using a simple filter and the acceleration sensor to recognize the user's behavior and measure accurate vital signs with the behavior state.
Keywords
wearable device; accelerometer; motion detection; heart rate; oxygen saturation;
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Times Cited By KSCI : 1  (Citation Analysis)
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