Abstract
Much research has been conducted in the area of face and gesture recognition in order to classify one's emotional state. Surprisingly, utilizing computerized algorithms which recognize emotional conditions based on body postures has not yet been systematically developed. In this paper, we propose a novel method, Computerized Emotion Perception based on Posture (CEPP), to determine the emotional state of the user. This method extracts features from body postures and estimates the emotional state by computing a similarity distance. With the proposed algorithm, we will provide new insights into automatically recognizing one's emotional state.
| Original language | English |
|---|---|
| Article number | 978 |
| Journal | Applied Sciences (Switzerland) |
| Volume | 7 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2017 Sept 22 |
Bibliographical note
Funding Information:Acknowledgments: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01059151), and this work was supported by “Human Resources program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning(KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea(No. 20174030201820) Author Contributions: Suk Kyu Lee designed the system and the experiments. Mungyu Bae conducted and assisted with the experiments. Moreover, Suk Kyu Lee and Mungyu Bae analyzed the data and wrote the paper. Woonghee Lee verified the system design and the algorithm. Hwangnam Kim governed the overall procedure of this research.
Publisher Copyright:
© 2017 by the authors.
Keywords
- Body posture
- Emotion recognition
- Feature extraction
ASJC Scopus subject areas
- General Materials Science
- Instrumentation
- General Engineering
- Process Chemistry and Technology
- Computer Science Applications
- Fluid Flow and Transfer Processes