Skip to main content

A Database of Japanese Emotional Signals Elicited by Real Experiences

  • Conference paper
  • First Online:
Pervasive Computing Paradigms for Mental Health (MindCare 2014)

Abstract

This paper presents a Japanese emotional database that contains speech and physiological signals that can be used to develop algorithms for emotion recognition using audio, physiological signals, or several combined signals. Research on emotions was underpinned by using this database, and health-care oriented applications were the main reason this database was constructed. All six basic human emotions were elicited by using real emotional experiences, which had different impacts on health conditions. We also describe the experimental setup and protocols. Finally, signals from more than 50 people were included in the database.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sirois, B.C., Matthew, M.B.: Negative emotion and coronary heart disease a review. Behav. Modif. 27(1), 83–102 (2003)

    Article  Google Scholar 

  2. Hinchcliffe, R.: Emotion as a precipitating factor in Meniere’s disease. J. Laryngol. Otol. 81(05), 471–475 (1967)

    Article  Google Scholar 

  3. Elder, G.H., Clipp, E.C.: Combat experience and emotional health: Impairment and resilience in later life. J. Pers. 57(2), 311–341 (1989)

    Article  Google Scholar 

  4. Ekman, P., Sorenson, E.R., Friesen, W.V.: Emotion in the Human Face: Guidelines for Research and an Integration of Findings. Pergamon Press, New York (1972)

    Google Scholar 

  5. Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W.F., Weiss, B.: A database of German emotional speech. In: Proceedings of INTERSPEECH, vol. 5, pp. 1517–1520, September 2005

    Google Scholar 

  6. Wilting, J., Krahmer, E., Swerts, M.: Real vs. acted emotional speech. In: Proceedings of INTERSPEECH, pp. 805–808 (2006)

    Google Scholar 

  7. Qi-Rong, M., Zhan, Y.Z.: A novel hierarchical speech emotion recognition method based on improved DDAGSVM. Comput. Sci. Inf. Syst./ComSIS 7(1), 211–222 (2010)

    Article  Google Scholar 

  8. Schuller, B., Rigoll, G.: Timing levels in segment-based speech emotion recognition. In: Proceedings of INTERSPEECH, pp. 1818–1821, September 2006

    Google Scholar 

  9. Yeh, J.H., Pao, T.L., Lin, C.Y., Tsai, Y.W., Chen, Y.T.: Segment-based emotion recognition from continuous Mandarin Chinese speech. Comput. Hum. Behav. 27(5), 1545–1552 (2011)

    Article  Google Scholar 

  10. Zhang, H., Warisawa, S., Yamada, I.: An approach for emotion recognition using purely segment-level acoustic features. In: Proceedings of KEER, June 2014

    Google Scholar 

  11. Schmidt, L.A., Trainor, L.J.: Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions. Cogn. Emot. 15, 487–500 (2001)

    Article  Google Scholar 

  12. Nardi, D.: Neuroscience of Personality: Brain Savvy Insights for All Types of People. Radiance House, Los Angeles (2011)

    Google Scholar 

  13. Davidson, R.J.: Affective neuroscience and psychophysiology: toward a synthesis. Psychophysiology 40(5), 655–665 (2003)

    Article  Google Scholar 

  14. Takahashi, K.: Remarks on emotion recognition from multi-modal bio-potential signals. In: Proceedings of IEEE ICIT’04, vol. 3, pp. 1138–1143, December 2004

    Google Scholar 

  15. Zhang, H., Warisawa, S., Yamada, I.: Emotional valence detection based on a novel wavelet feature extraction strategy using EEG signals. In: Proceedings of HEALTHINF, March 2014

    Google Scholar 

  16. Maglaveras, N., Stamkopoulos, T., Diamantaras, K., Pappas, C., Strintzis, M.: ECG pattern recognition and classification using non-linear transformations and neural networks: a review. Int. J. Med. Inf. 52, 191–208 (1998)

    Article  Google Scholar 

  17. Zhang, H., Jing, Y., Masaki, S., Mitsuyoshi, S., Lopez, G., Yamada, I.: Improvement of emotion recognition accuracy by using speech and ECG signals. In: Proceedings of MIPE, June 2012

    Google Scholar 

  18. Cheng, B., Liu, G.Y.: Emotion recognition from surface EMG signal using wavelet transform and neural network. In: Proceedings of ICBBE, pp. 1363–1366 (2008)

    Google Scholar 

  19. McFarland, R.A.: Relationship of skin temperature changes to the emotions accompanying music. Biofeedback Self-regul. 10, 255–267 (1985)

    Article  Google Scholar 

  20. Haag, A., Goronzy, S., Schaich, P., Williams, J.: Emotion recognition using bio-sensors: first steps towards an automatic system. In: André, E., Dybkjær, L., Minker, W., Heisterkamp, P. (eds.) ADS 2004. LNCS (LNAI), vol. 3068, pp. 36–48. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hao Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Zhang, H. et al. (2014). A Database of Japanese Emotional Signals Elicited by Real Experiences. In: Cipresso, P., Matic, A., Lopez, G. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-11564-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11564-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11563-4

  • Online ISBN: 978-3-319-11564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics