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

• Il Yeup Ahn,
• Nak-Myoung Sung1,
• Jae-Hyun Lim,
• Jeongwook Seo,
• Il Dong Yun,

Vol. 13, No. 1, January 31, 2019
10.3837/tiis.2019.01.001, Download Paper (Free):

• Biosignal data
• Emotion Recognition
• IoT
• oneM2M
• wearable device

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.

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