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An Efficient Study of Emotion Inference in USN Computing

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(1), pp.127-134
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

양동일 1 김영규 2 Yeon-Man Jeong 3

1한림성심대학
2한림성심대학교
3강릉원주대학교

Accredited

ABSTRACT

Recently, much research have been done on ubiquitous computing models in advanced countries as well as in Korea. Ubiquitous computing is defined as a computing environment that isn't bounded by time and space. Different kinds of computers are embedded in artifacts, devices, and environment, thus people can be connected everywhere and everytime. To recognize user's emotion, facial expression, temperature, humidity, weather, and lightning factors are used for building ontology. Ontology Web Language (OWL) is adopted to implement ontology and Jena is used as an emotional inference engine. The context-awareness service infrastructure suggested in this research can be divided into several modules by their functions.

Citation status

* References for papers published after 2023 are currently being built.