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A Bio-Signal-Based Control Approach to Building a Comfortable Space

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Industrial Applications of Affective Engineering

Abstract

It is difficult to define a comfortable space for people. This is partly because comfort relates to many attributes specifying a space, partly because all people have different preferences and also because even the same person changes his or her preference according to the state of health, body conditions, working state, and so on. Various parameters and attributes should be controlled in order to realize such a comfortable space according to the database of past usages. Information obtained from human bodies such as temperature, blood pressure, and alpha waves can be employed to adjust the space to the best condition. The objective of the chapter is to present the possibility that a space is able to be adjusted to a human condition based on human brainwaves.

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References

  1. Takagi M, Watada J, Naoyosi Y (2004) Realization of comfortable space based on senses information. IEEE SMC 2004:6363–6364

    Google Scholar 

  2. Watada J, Takagi M, Yubazaki N, Hirano H (2006) Building a comfortable space based on human senses. J Syst Control Eng 220(8):667–673

    Google Scholar 

  3. Hiroaki Suzuki (1999) Measuring comfortability, Nihon Publishing Service, Chiyoda, pp. 3, 11–12, (in Japanese)

    Google Scholar 

  4. Takahashi K (2004) Remarks on SVM-based emotion recognition from multi-modal biopotential signals. In: Proceedings of the 2004 IEEE international workshop on robot and human interactive communication, pp 95–100

    Google Scholar 

  5. Takahashi K, Tsukaguchi A (2003) Remarks on emotion recognition from multi-modal biopotential signals. In: Proceedings of IEEE international conference on systems, man, and cybernetics, 2: 1654–1659

    Google Scholar 

  6. Ko KE, Yang HC, Sim KB (2009) Emotion recognition using EEG signals with relative power values and Bayesian network. Int J Control Autom Syst 7(5):865–870

    Article  Google Scholar 

  7. Heraz A, Razaki R, Frasson C (2007) Using machine learning to predict learner emotional state from brainwaves. In: Proceedings of the 7th IEEE international conference on advanced learning technologies pp 853–857

    Google Scholar 

  8. Adeli H, Ghosh-Dastidar S, Dadmehr N (2007) A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy. IEEE Trans Biomed Eng 54(2):205–211

    Article  Google Scholar 

  9. Merzagora AC, Bunce S, Izzetoglu M, Onaral B (2006) Wavelet analysis for EEG feature extraction in deception detection. In: Proceedings of the 28th IEEE EMBS annual international conference, pp 2434–2437

    Google Scholar 

  10. Marcel S, del Millan RJ (2007) Person authentication using brainwaves (EEG) and maximum a posteriori model adaptation. IEEE Trans Pattern Anal Mach Intell 29(4):743–748

    Article  Google Scholar 

  11. Terano T, Asai K, Sugeno M (1994) Applied fuzzy systems. Academic Press, London, pp 101–117

    Google Scholar 

  12. Feng X, Junzo W (2013) Building a recognition system of speech emotion and emotional states. IEEE Conference, 2nd international conference of robot, vision, signal processing, pp 253–257

    Google Scholar 

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Correspondence to Junzo Watada .

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© 2014 Springer International Publishing Switzerland

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Watada, J., Lim, C.P., Hsiao, Yc. (2014). A Bio-Signal-Based Control Approach to Building a Comfortable Space. In: Watada, J., Shiizuka, H., Lee, KP., Otani, T., Lim, CP. (eds) Industrial Applications of Affective Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-04798-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-04798-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04797-3

  • Online ISBN: 978-3-319-04798-0

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