Development of bio-sensor-based feature extraction and emotion recognition model

Ye Ri Cho, Dong Sung Pae, Yun Kyu Lee, Ahn Woo Jin, Myo Taeg Lim, Tae Koo Kang

Research output: Contribution to journalArticlepeer-review


The technology of emotion recognition is necessary for human computer interaction communication. There are many cases where one cannot communicate without considering one's emotion. As such, emotional recognition technology is an essential element in the field of communication. n this regard, it is highly utilized in various fields. Various bio-sensor sensors are used for human emotional recognition and can be used to measure emotions. This paper proposes a system for recognizing human emotions using two physiological sensors. For emotional classification, two-dimensional Russell's emotional model was used, and a method of classification based on personality was proposed by extracting sensor-specific characteristics. In addition, the emotional model was divided into four emotions using the Support Vector Machine classification algorithm. Finally, the proposed emotional recognition system was evaluated through a practical experiment.

Original languageEnglish
Pages (from-to)1496-1505
Number of pages10
JournalTransactions of the Korean Institute of Electrical Engineers
Issue number11
Publication statusPublished - 2018 Nov 1


  • Emotion recognition
  • Physiological sensor
  • Support vector machine

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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