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http://dx.doi.org/10.3837/tiis.2019.01.001

Development of an oneM2M-compliant IoT Platform for Wearable Data Collection  

Ahn, Il Yeup (IoT Platform Research Center, Korea Electronics Technology Institute)
Sung, Nak-Myoung (IoT Platform Research Center, Korea Electronics Technology Institute)
Lim, Jae-Hyun (Departtment of Information & Communication Engineering, Namseoul University)
Seo, Jeongwook (Departtment of Information & Communication Engineering, Namseoul University)
Yun, Il Dong (Division of Computer & Electronic Systems Engineering, Hankuk University of Foreign Studies)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.13, no.1, 2019 , pp. 1-15 More about this Journal
Abstract
Internet of Things (IoT) is commonly referred to as a future internet technology to provide advanced services by interconnecting physical and virtual things, collecting and using many data from them. The IoT platform is a server platform with a common architecture to collect and share the data independent of the IoT devices and services. Recently, oneM2M, the global standards initiative for Machine-to-Machine (M2M) communications and the IoT announced the availability of oneM2M Release 2 specifications. Accordingly, this paper presents a new oneM2M-compliant IoT platform called Mobius 2.0 and proposes its application to collect the biosignal data from wearable IoT devices for emotion recognition. Experimental results show that we can collect various biosignal data seamlessly and extract meaningful features from the biosignal data to recognize two emotions of joy and sadness.
Keywords
Biosignal data; emotion recognition; IoT; oneM2M; wearable device;
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