Table of Contents
Advances in Artificial Intelligence
Volume 2014 (2014), Article ID 740358, 9 pages
http://dx.doi.org/10.1155/2014/740358
Research Article

Physical Violence Detection for Preventing School Bullying

1The Communication Research Center, Harbin Institute of Technology, Harbin, China
2Department of Electrical Engineering, University of Oulu, Oulu, Finland
3Department of Electrical Engineering, Petra Christian University, Surabaya, Indonesia
4Department of Computer Science and Engineering, University of Oulu, Oulu, Finland

Received 4 May 2014; Revised 24 July 2014; Accepted 7 August 2014; Published 24 August 2014

Academic Editor: António Dourado Pereira Correia

Copyright © 2014 Liang Ye 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. Y. S. Kim and B. Leventhal, “Bullying and suicide. A review,” International Journal of Adolescent Medicine and Health, vol. 20, no. 2, pp. 133–154, 2008. View at Google Scholar · View at Scopus
  2. S. Hinduja and J. W. Patchin, “Bullying, cyberbullying, and suicide,” Archives of Suicide Research, vol. 14, no. 3, pp. 206–221, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. A. Henpraserttae, S. Thiemjarus, and S. Marukatat, “Accurate activity recognition using a mobile phone regardless of device orientation and location,” in Proceedings of the International Conference on Body Sensor Networks (BSN '11), pp. 41–46, Dallas, Tex, USA, May 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. G. Hache, E. D. Lemaire, and N. Baddour, “Mobility change-of-state detection using a smartphone-based approach,” in Proceedings of the IEEE International Workshop on Medical Measurements and Applications (MeMeA '10), pp. 43–46, Ottawa, Canada, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. G. Haché, E. D. Lemaire, and N. Baddour, “Wearable mobility monitoring using a multimedia smartphone platform,” IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 9, pp. 3153–3161, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. R. K. Ganti, S. Srinivasan, and A. Gacic, “Multisensor fusion in smartphones for lifestyle monitoring,” in Proceedings of the International Conference on Body Sensor Networks (BSN '10), pp. 36–43, Singapore, June 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. N. Bicocchi, M. Mamei, and F. Zambonelli, “Detecting activities from body-worn accelerometers via instance-based algorithms,” Pervasive and Mobile Computing, vol. 6, no. 4, pp. 482–495, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Sorvala, E. Alasaarela, H. Sorvoja, and R. Myllyla, “Activity classification using a state transition diagram and activity levels,” in Proceedings of the 6th International Symposium on Medical Information and Communication Technology (ISMICT '12), pp. 1–4, La Jolla, Calif, USA, March 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. S.-K. Song, J. Jang, and S. Park, “A phone for human activity recognition using triaxial acceleration sensor,” in Proceedings of the International Conference on Consumer Electronics (ICCE '08), Digest of Technical Papers, pp. 1–2, Las Vegas, Nev, USA, January 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Sorvala, E. Alasaarela, H. Sorvoja, and R. Myllyla, “A two-threshold fall detection algorithm for reducing false alarms,” in Proceedings of the 6th International Symposium on Medical Information and Communication Technology (ISMICT '12), pp. 1–4, La Jolla, Calif, USA, March 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Z. A. Khan and W. Sohn, “Abnormal human activity recognition system based on R-transform and kernel discriminant technique for elderly home care,” IEEE Transactions on Consumer Electronics, vol. 57, no. 4, pp. 1843–1850, 2011. View at Publisher · View at Google Scholar · View at Scopus