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http://dx.doi.org/10.9728/dcs.2018.19.9.1803

Noise Reduction in Real-time Context Aware using Wearable Device  

Kim, Tae Ho (Database/Bioinformatics Lab, School of Electrical & Computer Engineering, Chungbuk National University)
Suh, Dong Hyeok (Department of Display Engineering, Dankook University)
Yoon, Shin Sook (Department of Electronic, Namseoul University)
Ryu, Keun Ho (Database/Bioinformatics Lab, School of Electrical & Computer Engineering, Chungbuk National University)
Publication Information
Journal of Digital Contents Society / v.19, no.9, 2018 , pp. 1803-1810 More about this Journal
Abstract
Recently, many researches related to IoT (Internet of Things) have been actively conducted. In order to improve the context aware function of smart wearable devices using the IoT, we proposed a noise reduction method for the event data of the sensor part. In thisstudy, the adoption of the low - pass filter induces the attenuation of the abnormally measured value, and the benefit was obtained from the situation recognition using the event data of the sensor. As a result, we have validated attenuation for abnormal or excessive noise using event data detected and reported by 3-axis acceleration sensors on some devices, such as smartphones and smart watches. In addition, various pattern data necessary for real - time context aware were obtained through noise pattern analysis.
Keywords
Context Aware; Wearable Device; IoT; Noise Reduction; Real-Time Situation Inference;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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