CEPP: Perceiving the emotional state of the user based on body posture

Suk Kyu Lee; Mungyu Bae; Woonghee Lee; Hwangnam Kim

doi:10.3390/app7100978

CEPP: Perceiving the emotional state of the user based on body posture

Suk Kyu Lee, Mungyu Bae, Woonghee Lee, Hwangnam Kim

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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	https://doi.org/10.3390/app7100978
Publication status	Published - 2017 Sep 22

Keywords

Body posture
Emotion recognition
Feature extraction

ASJC Scopus subject areas

Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes

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title = "CEPP: Perceiving the emotional state of the user based on body posture",

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.",

keywords = "Body posture, Emotion recognition, Feature extraction",

author = "Lee, {Suk Kyu} and Mungyu Bae and Woonghee Lee and Hwangnam Kim",

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.",

year = "2017",

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AU - Lee, Suk Kyu

AU - Bae, Mungyu

AU - Lee, Woonghee

AU - Kim, Hwangnam

N1 - 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.

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N2 - 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.

AB - 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.

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KW - Emotion recognition

KW - Feature extraction

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