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


Vol. 41,  No. 3, pp. 347-358, Mar.  2016


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  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.

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  Cite this article

[IEEE Style]

D. Choi and S. Kang, "Software Architecture of a Wearable Device to Measure User"s Vital Signal Depending on the Behavior Recognition," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 3, pp. 347-358, 2016. DOI: .

[ACM Style]

Dong-jin Choi and Soon-Ju Kang. 2016. Software Architecture of a Wearable Device to Measure User"s Vital Signal Depending on the Behavior Recognition. The Journal of Korean Institute of Communications and Information Sciences, 41, 3, (2016), 347-358. DOI: .

[KICS Style]

Dong-jin Choi and Soon-Ju Kang, "Software Architecture of a Wearable Device to Measure User"s Vital Signal Depending on the Behavior Recognition," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 3, pp. 347-358, 3. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880