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Journal of Healthcare Engineering
Volume 2018, Article ID 6161525, 8 pages
https://doi.org/10.1155/2018/6161525
Research Article

Earable RCC: Development of an Earphone-Type Reliable Chewing-Count Measurement Device

1Graduate School of Information Sciences, Hiroshima City University, 3-4-1 Ozukahigashi, Asaminami-ku, Hiroshima, Hiroshima 731-3194, Japan
2Wearable Media Laboratory, eRCC Co. Ltd., 21-3 Motomachi, Naka-ku, Hiroshima, Hiroshima 730-8504, Japan
3SAGA-KEN Medical Centre KOSEIKAN, 400 Nakabaru, Kasemachi, Saga, Saga 840-8571, Japan
4Faculty of Textile Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, Nagano 386-8567, Japan

Correspondence should be addressed to Kazuhiro Taniguchi; pj.ca.uc-amihsorih@ituginat

Received 2 November 2017; Accepted 25 December 2017; Published 12 February 2018

Academic Editor: Feng Liu

Copyright © 2018 Kazuhiro Taniguchi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Chris Eagon, K. A. Kelly, and B. W. Miedema, “Postgastrectomy syndromes,” Surgical Clinics of North America, vol. 72, no. 2, pp. 445–465, 1992. View at Publisher · View at Google Scholar
  2. S. Cadavid, M. Abdel-Mottaleb, and A. Helal, “Exploiting visual quasi-periodicity for real-time chewing event detection using active appearance models and support vector machines,” Personal and Ubiquitous Computing, vol. 16, no. 6, pp. 729–739, 2012. View at Publisher · View at Google Scholar · View at Scopus
  3. C. Y. Li, Y.-C. Chen, W.-J. Chen, P. Huang, and H.-h. Chu, “Sensor-embedded teeth for oral activity recognition,” in Proceedings of the 17th annual international symposium on International symposium on wearable computers - ISWC, pp. 41–44, Zurich, Switzerland, September 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. R. Zhang and O. Amft, “Bite glasses: measuring chewing using Emg and bone vibration in smart eyeglasses,” in Proceedings of the 2016 ACM International Symposium on Wearable Computers (ISWC ‘16), pp. 50–52, Heidelberg, Germany, September 2016. View at Publisher · View at Google Scholar · View at Scopus
  5. E. S. Sazonov and J. M. Fontana, “A sensor system for automatic detection of food intake through non-invasive monitoring of chewing,” IEEE Sensors Journal, vol. 12, no. 5, pp. 1340–1348, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Päßler and W. J. Fischer, “Evaluation of algorithms for chew event detection,” in Proceedings of the 7th International Conference on Body Area Networks, pp. 20–26, Oslo, Norway, February 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. O. Amft, M. Stäger, P. Lukowicz, and G. TrösterM. Beigl, S. Intille, J. Rekimoto, and H. Tokuda, “Analysis of chewing sounds for dietary monitoring,” in UbiComp 2005: Ubiquitous Computing. UbiComp 2005. Lecture Notes in Computer Science, vol. 3660, pp. 56–72, Springer, Berlin, Heidelberg, 2005. View at Publisher · View at Google Scholar
  8. K. Yatani and K. N. Truong, “Bodyscope: a wearable acoustic sensor for activity recognition,” in Proceedings of the 2012 ACM Conference on Ubiquitous Computing, pp. 341–350, Pittsburgh, Pennsylvania, September 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. Y. Gao, N. Zhang, H. Wang et al., “iHear food: eating detection using commodity bluetooth headsets,” in 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 163–172, Washington, DC, USA, June 2016. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Wang, G. Zhou, L. Hu, Z. Chen, and Y. Chen, “CARE: chewing activity recognition using noninvasive single axis accelerometer,” in Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15, pp. 109–112, Osaka, Japan, September 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. A. Bedri, R. Li, M. Haynes et al., “EarBit: using wearable sensors to detect eating episodes in unconstrained environments,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 1, no. 3, pp. 1–20, 2017. View at Publisher · View at Google Scholar
  12. M. Kurosawa, K. Taniguchi, and A. Nishikawa, “Earable: a novel earphone-type wearable sensor and its applications,” in Proceedings of the 5th Annual Conference of AnalytiX-2017 (AnalytiX-2017), p. 400, Fukuoka, Japan, 2017.
  13. K. Taniguchi, Y. Horise, A. Nishikawa, and S. Iwaki, “A novel wearable input device using movement of ear-canals,” in Proceedings of Textile Bioengineering and Informatics Symposium (TBIS) 2012, pp. 166–174, Ueda, Japan, 2012.
  14. Input Device, Wearable Computer, and Input Method, 2015, US Patent No.US8994647.
  15. K. Taniguchi, H. Chiaki, M. Kurosawa, and A. Nishikawa, “A novel earphone type sensor for measuring mealtime: consideration of the method to distinguish between running and meals,” Sensors, vol. 17, no. 2, p. 252, 2017. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Kurosawa, K. Taniguchi, and A. Nishikawa, “A basic study of occlusal force measured using a wearable ear sensor,” in Proceedings of the 14th International Conference on Ubiquitous Healthcare (uHealthcare 2017), p. 85, Seoul, Korea, 2017.