@Article{2019.100000139,
AUTHOR = {Taemin Lee, Dongwann Kang, Kyunghyun Yoon, Sanghyun Seo},
TITLE = {Emotion-Based Painting Image Display System},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {1},
PAGES = {181--192},
URL = {http://www.techscience.com/iasc/v26n1/39853},
ISSN = {2326-005X},
ABSTRACT = {As mobile devices have tremendously developed, people can now get sensor data 
easily. These data are not only physical data such as temperature, humidity, 
gravity, acceleration, etc. but also human health data such as blood pressure, 
heart pulse rate, etc. With this information, Internet of Things (IoT) technology 
has provided many systems to support human health care. Systems for human 
health care support physical health care like checking blood pressure, pulse rate, 
etc. However, the demand for physical health care as well as mental health care 
is increasing. So, a system, which automatically recommends a painting to users 
based on their feeling, is proposed in this paper. Using a smartphone application, 
users take a self-portrait. Then, the application reads the user’s facial expression, 
and obtains an Arousal-Valence (A.V.) emotion value. Also, the application has a 
database of paintings with A.V. value in advance. To create this database, we 
extracted many features from various paintings and estimated their A.V. value 
using regression analysis. When users reach home, the application detects it 
automatically using GPS information, and shows the painting that best suits the 
user’s emotion, based on the extracted A.V. value. Thereby, users can get a 
feeling of relaxation by admiring the painting.},
DOI = {10.31209/2019.100000139}
}