A Study on the Psychological Analysis System Using Machine Learning

  • Authors

    • Ki Young Lee
    • Kyu Ho Kim
    • Jeong Jin Kang
    • Sung Jai Choi
    • Yong Soon Im
    • Gyoo Seok Choi
    2018-08-29
    https://doi.org/10.14419/ijet.v7i3.33.18591
  • Emotion Recognition, Speech Recognition, Image Recognition, PCA, LDA

  • Abstract

    Real-time facial expression recognition and analysis technology is recently drawing attention in areas of computer vision, computer graphics, and HCI. Recognition of user’s emotion on the basis of video and voice is drawing particular interest. The technology may help managers of households or hospitals. In the present study, video and voice were converted into digital data through MATLAB by using PCA(Principal Component Analysis), LDA(Linear Discriminant Analysis), KNN(K Nearest Neighbor) algorithms to analyze emotions through machine learning. The manager of the psychological analysis counseling system may understand a user’s emotion in an smart phone environment. This system of the present study may help the manager to have a smooth conversation or develop a smooth relationship with a user on the basis of the provided psychological analysis results.

     

  • References

    1. [1] Statistical Office, Youth Statistics, May. 2013.

      [2] Statistical Office, Cause of death statistics.

      [3] Jang-Won Kim, “Development of Voice Signal Detection System using FPGAâ€, The Journal of the Institute of Internet, Broadcasting and Communication (JIIBC), Vol. 15, No. 6, pp.141-146, 2015.

      [4] Ki-Hwan Ryu, Myoung-Su Lee, “A Study on Smart Tourism Based on Face Recognition Using Smartphoneâ€, The International Journal of Internet, Broadcasting and Communication (IJIBC), Vol. 8, No. 4, pp.39-47, 2016.

      [5] Nae-Joung Kwak, Sung-Pil Ryu, Il-Young Hwang, “Fear and Surprise Facial Recognition Algorithm for Dangerous Situation Recognitionâ€, The International Journal of Internet, Broadcasting and Communication (IJIBC), Vol. 7, No.2, pp.51-55, 2015.

      [6] Gye-Sung Lee, In-Kook Kim, “A Study on Simplification of Machine Learning Model â€, The Journal of the Institute of Internet, Broadcasting and Communication (JIIBC), Vol. 16, No. 4, pp.147-152, 2016.

      [7] Nam-Su Kim, "And Perspectives on Emotion Recognition, Technologies", Telecommunications Review, pp. 19-5, Oct. 2009.

      [8] Ho-Deok Kim, Hyeon-Chang Yang, Chang-Hyeon Bak, Kwee-Bo Sim, "Emotion Recognition Method of Facial Image using PCA", Proceedings of KFIS Autumn Conference, Vol. 16, No. 2, 2006.

      [9] Byung-Doo Lee, "Comparison of LDA and PCA for Korean Pro Go Player's Opening", Journal of Korea Game Society, Vol. 13, No. 4, pp. 15-24, Aug. 2013.

      [10] Myung-Chul Lee, Dae-Hyuk Moon, Toru Matumoto, Yukio Tateno, Chang-Soon Koh, "ROC Analysis of Diagnostic Performance in Liver Scan", The Journal of Nuclear Medicine and Molecular Imaging, KSNM, Vol. 22, No. 1 , pp.39-45, 1988.

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  • How to Cite

    Young Lee, K., Ho Kim, K., Jin Kang, J., Jai Choi, S., Soon Im, Y., & Seok Choi, G. (2018). A Study on the Psychological Analysis System Using Machine Learning. International Journal of Engineering & Technology, 7(3.33), 128-130. https://doi.org/10.14419/ijet.v7i3.33.18591

    Received date: 2018-08-29

    Accepted date: 2018-08-29

    Published date: 2018-08-29