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Emotion-Based Painting Image Display System


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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 useru2019s 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 useru2019s emotion, based on the extracted A.V. value. Thereby, users can get a feeling of relaxation by admiring the painting.


Keywords


Pages

Total Pages: 13

DOI
10.31209/2019.100000139


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Published

Online Article

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




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