Sensor Applications on Emotion Recognition

Dear Colleagues,

Human emotions have long been regarded as objects of qualitative expression and cognition. However, research to quantitatively measure emotions through the development of sensor technology and artificial intelligence has only recently seen rapid progress.

The recent studies on “emotion recognition” have been actively carried out to quantitatively measure human emotion and utilize it as a context awareness parameter to provide adequate applications in terms of user experience.

As these studies have been ongoing over several decades, there has been a paradigm shift from a system that attaches a complicated sensor onto the body to an ultralight sensor or a remote sensing method that minimizes the inconvenience to the user. In addition, an indirect approach to emotion recognition can be found by analyzing factors that may affect emotion in the environment, as well as human behavior and physiological signals.

Within this framework, I am pleased to serve as Guest Editor of this Special Issue on “Sensor Applications for Emotion Recognition”.

For this Special Issue, research regarding sensor applications on emotion recognition while considering user convenience is of interest. Of particular interest is research that can break away from traditional sensor technology that causes inconvenience, and research that instead solves the inconvenience and performance problem of emotion recognition through sensor-based software solutions.

Prof. Dr. Eui Chul Lee|
Dr. Gi Pyo Nam
Guest Editors

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