1. Alwan, M., Rajendran, P., Kell, S., Mack, D., Dalal, S., Wolfe, M., Felder, R.: A smart and passive floor-vibration based fall detector for elderly. 2nd Information and Communication Technologies 1, 1003–1007 (2006)
2. Anderson, D., Luke, R.H., Keller, J.M., Skubic, M., Rantz, M., Aud, M.: Linguistic summarization of video for fall detection using voxel person and fuzzy logic. Computer Vision and Image Understanding 113(1), 80–89 (2009)
3. Auvinet, E., Multon, F., Saint-Arnaud, A., Rousseau, J., Meunier, J.: Fall detection with multiple cameras: An occlusion-resistant method based on 3D silhouette vertical distribution. IEEE Trans. on Information Technology in Biomedicine (2010)
4. Collins, R., Lipton, A., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O.: A System for Video Surveillance and Monitoring: VSAM Final Report. Technical report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University (May 2000)
5. Jansen, B., Temmermans, F., Deklerck, R.: 3D human pose recognition for home monitoring of elderly. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Lyon, France, pp. 4049–4051 (2007)