Table of Contents Author Guidelines Submit a Manuscript
Journal of Healthcare Engineering
Volume 2018 (2018), Article ID 4098237, 13 pages
https://doi.org/10.1155/2018/4098237
Research Article

An Elderly Care System Based on Multiple Information Fusion

College of Electronic Information, Hangzhou Dianzi University, Hangzhou, China

Correspondence should be addressed to Zhiwei He

Received 20 February 2017; Revised 14 May 2017; Accepted 21 November 2017; Published 15 January 2018

Academic Editor: Yong Yang

Copyright © 2018 Zhiwei He 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. A. Wong, Population Aging and the Transmission of Monetary Policy to Consumption, 2015, https://economics.stanford.edu/sites/default/files/arlene_wong_jmp_latest-2g9f9ga.pdf.
  2. B. Ma, The Monitor System of Elderly People Living Alone Based on the Comprehensive Computer Vision, Zhejiang University of Technology, 2014.
  3. Y. Bai, J. Li, and J. He, “The design of the fall detection system based on embedded video monitoring,” Television Technology, vol. 38, no. 15, 2014. View at Google Scholar
  4. L. Liu, E. Stroulia, I. Nikolaidis, A. Miguel-Cruz, and A. Rios Rincon, “Smart homes and home health monitoring technologies for older adults: a systematic review,” International Journal of Medical Informatics, vol. 91, pp. 44–59, 2016. View at Publisher · View at Google Scholar · View at Scopus
  5. A. Jacobsson, M. Boldt, and B. Carlsson, “A risk analysis of a smart home automation system,” Future Generation Computer Systems, vol. 56, pp. 719–733, 2015. View at Publisher · View at Google Scholar · View at Scopus
  6. C. D. Kidd, R. Orr, G. D. Abowd et al., The Aware Home: a Living Laboratory for Ubiquitous Computing Research International Workshop on Cooperative Buildings, Springer, Berlin Heidelberg, 1999.
  7. R. Khosla, M. T. Chu, R. Kachouie, K. Yamada, F. Yoshihiro, and T. Yamaguchi, “Interactive multimodal social robot for improving quality of care of elderly in Australian nursing homes,” in Proceedings of the 20th ACM international conference on Multimedia - MM '12, pp. 1173–1176, New York, NY, USA, October-November 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. N. K. Suryadevara and S. C. Mukhopadhyay, “Wireless sensor network based home monitoring system for wellness determination of elderly,” IEEE Sensors Journal, vol. 12, no. 6, pp. 1965–1972, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. B. Sathiyabama and S. Malarkkan, “Low power adders for MAC unit using dual supply voltage in DSP processor,” International Proceedings of Computer Science & Information Tech, vol. 32, p. 67, 2012. View at Google Scholar
  10. Z. Luo, Z. Liu, J. Zhang, and C. Song, “The design of musical instrument tuning system based on stm32f103 microcomputer,” in Proceedings of 2012 International Conference on Measurement, Information and Control, pp. 79–82, Harbin, China, May 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. N. Zhang, H. Y. Ning, J. Bai, B.-C. Chen, P.-C. Zhou, and X.-L. Zhao, “Elderly safety early-warning system based on android mobile phones,” in 2014 10th International Conference on Natural Computation (ICNC), pp. 1126–1130, Xiamen, China, August 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. C. F. Lai, Y. M. Huang, J. H. Park, and H. C. Chao, “Adaptive body posture analysis for elderly-falling detection with multisensors,” IEEE Intelligent Systems, vol. 25, no. 2, pp. 20–30, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. S. H. Kim and D. W. Kim, “A study on real-time fall detection systems using acceleration sensor and tilt sensor,” Sensor Letters, vol. 10, no. 5, pp. 1302–1307, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. N. Buch, S. A. Velastin, and J. A. Orwell, “Review of computer vision techniques for the analysis of urban traffic,” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 3, pp. 920–939, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. K. Bahadir and K. Serdar, “Moving object detection and tracking by using annealed background subtraction method in videos: performance optimization,” Expert Systems with Applications, vol. 39, no. 1, pp. 33–43, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Cheng and J. Gao, An Improved Background Modeling Method for Target Detection, Springer, Berlin Heidelberg, 2012.
  17. P. Gorur and B. Amrutur, “Speeded up Gaussian mixture model algorithm for background subtraction,” in 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 386–391, Klagenfurt, Austria, August-September 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. S. Gupte, O. Masoud, R. F. K. Martin, and N. P. Papanikolopoulos, “Detection and classification of vehicles,” IEEE Transactions on Intelligent Transportation Systems, vol. 3, no. 1, pp. 37–47, 2002. View at Publisher · View at Google Scholar · View at Scopus
  19. A. Yoneyama, C. H. Yeh, and C. C. J. Kuo, “Moving cast shadow elimination for robust vehicle extraction based on 2D joint vehicle/shadow models,” in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003, p. 229, Miami, FL, USA, July 2003. View at Publisher · View at Google Scholar · View at Scopus
  20. G. D. Finlayson, S. D. Hordley, C. Lu, and M. S. Drew, “On the removal of shadows from images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 1, pp. 59–68, 2006. View at Publisher · View at Google Scholar · View at Scopus
  21. A. Leone, C. Distante, N. Ancona, E. Stella, and P. Siciliano, “Texture analysis for shadow removing in video surveillance systems,” in 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No. 04CH37583), pp. 6325–6330, The Hague, Netherlands, October 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. R. W. Rahmat, Z. H. Al-Tairi, M. I. Saripan, and P. S. Sulaiman, “Removing shadow for hand segmentation based on background subtraction,” in 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), pp. 481–485, Kuala Lumpur, Malaysia, November 2012. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Yoo, L. Yan, S. Lee et al., “A wearable ECG acquisition system with compact planar-fashionable circuit board-based shirt,” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 6, pp. 897–902, 2009. View at Publisher · View at Google Scholar · View at Scopus