A NOVEL APPROACH TO CLASSIFY HUMAN-MOTION IN SMART PHONE USING 2D-PROJECTION METHOD

Yi Suk Kwon, Yeon Sik Noh, Ja Woong Yoon, Sung Bin Park, Hyung Ro Yoon

References

  1. [1] K. Y. Chen, and D. R. Bassett, Jr., The technology ofaccelerometry-based activity monitors: current and future,Med Sci Sports Exerc, vol. 37, no. 11 Suppl, pp. S490-500,Nov, 2005.
  2. [2] J. R. Kwapisz, G. M. Weiss, and S. A. Moore,Activity recognition using cell phone accelerometers,ACM SIGKDD Explorations Newsletter, vol. 12, no. 2, pp.74-82, 2011.
  3. [3] F. Ichikawa, J. Chipchase, and R. Grignani, Where'sthe phone? A study of Mobile Phone Location in Public26Spaces, Mobile Technology, Applications and Systems,2005 2nd International Conference on, Guangzhou, China,797 - 804.
  4. [4] G. Bieber, J. Voskamp, and B. Urban, Activityrecognition for everyday life on mobile phones, UniversalAccess in Human-Computer Interaction. Intelligent andUbiquitous Interaction Environments, pp. 289-296, 2009.
  5. [5] D. Mizell, Using gravity to estimate accelerometerorientation. In ISWC ’03: Proceedings of the 7thIEEEInternational Symposium on Wearable Computers,Washington, DC, USA, 2003, IEEE Computer Society,page 252.
  6. [6] J. Yang, "Toward physical activity diary: motionrecognition using simple acceleration features withmobile phones." pp. 1-10, In 1st ACM InternationalWorkshop on Interactive Multimedia for ConsumerElectronics - IMCE'09, Co-Located with the 2009 ACMInternational Conference on Multimedia, MM'09, Beijing,China, pp.1-9.

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