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A Mobile Stress Management System utilizing Variable Voice Information According to the Wearing Area

  • Kang, Byeongsoo (Dept. of Computer Science, GyeongSang National University) ;
  • Vannroath, Ky (Dept. of Computer Science, GyeongSang National University) ;
  • Kang, Hyun-syug (Dept. of Computer Science, GyeongSang National University)
  • Received : 2017.05.28
  • Accepted : 2017.06.19
  • Published : 2017.06.30

Abstract

Recently, as stress has become a major threat to people's health, there is a growing interest in wearable stress management services for stress relief. In this paper, we developed a wearable device(Care-on) capable of extracting changeable human voice information at each site and a Healthcare App(S-Manager) that enables stress management in real time using the wearable device. It collects and analyzes variable real-time voice information for each part of the person's body. And It also provides the ability to monitor stress conditions in a mobile environment and provide feedback on the analysis results in step by step in the mobile environment. We tested the developed wearable devices and app in a mobile environment and analyzed the results to confirm their usefulness.

Keywords

References

  1. Jinyoung Choi, Yusang Ko, Seungchul Lee, Changu Kang, Wooseok Choi, "Healthcare 3.0: The Age of Healthy Life," SERI, CEO Information, No. 831, Nov. 2011.
  2. Seung-Hun Park, Dae-Geun Jang. "IT Convergence Trends in Wellness." Communications of the Korean Institute of Information Scientists and Engineers, Vol. 31, No. 3, pp. 61-72, March 2013.
  3. G. Zhou, J.H.L. Hansen, J.F.Kaiser, "Nonlinear feature based classification of speech under stress," IEEE Trans. Speech and Audio Process, Vol. 9, No. 3, pp. 201-216, Mar 2001. https://doi.org/10.1109/89.905995
  4. Jungin Kim, Chulhong Kwon, "Measuring Correlation between Mental Fatigues and Speech Features," The Korean Association of Speech Sciences, Phonetics and Speech Sciences, Vol. 6, No. 2, pp. 3-8, Jun 2014.
  5. Spire, http://www.spire.io
  6. Pip stress manager, https://thepip.com
  7. Rescalm, http://rescalm.co.kr
  8. wellbe, https://www.indiegogo.com/projects/the-wellbe
  9. Mili, http://develrock.co.kr
  10. Byung-Chul Jeoung, Yoon-Sik Choe, "A Study on the Compensating System for the Acoustic Characteristics Caused by the Variation of Distance from Sound Source to Microphone," The Journal of the Acoustical Society of Korea Vol. 31, No. 3 pp. 197-204, March. 2012. https://doi.org/10.7776/ASK.2012.31.3.197
  11. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoust. Speech Signal Processing, Vol. 27, No. 2, pp. 113-120, Apr 1979. https://doi.org/10.1109/TASSP.1979.1163209
  12. Marc Karam, Hasan F. Khazaal, Heshmat Aglan, Cliston Cole, "Noise Removal in Speech Processing Using Spectral Subtraction," Journal of Signal and Information Processing, Vol.5 No.2, May 2014.
  13. Jae-Seung Choi, "Improvement of Signal-to-Noise Ratio for Speech under Noisy Environment," J. Korea Inst. Inf. Commun. Eng., Vol. 17, No. 7, pp. 1571-1576, July 2013. https://doi.org/10.6109/jkiice.2013.17.7.1571
  14. A. A. M. Abushariah, T. S. Gunawan, O. O. Khalifa and M. A. M. Abushariah, "English digits speech recognition system based on Hidden Markov Models", 2010 International Conference on Computer and Communication Engineering, pp. 1-5, May 2010.
  15. Jeff Hawkins and Dileep George, "Hierarchical Temporal Memory," Numenta Inc., March. 2007. Http://www.numenta.com/Numenta_HTM_Concepts.pdf
  16. HTM Community, https://numenta.org/