The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
A survey on fall detection: Principles and approaches
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Cites
Karantonis, D. M., Narayanan, M. R., Mathie, M., Lovell, N. H., & Celler, B. G. (2006) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2005.856864 · Cited by 1,236
Mathie, M. J., Coster, A. C. F., Lovell, N. H., & Celler, B. G. (2004) · Physiological Measurement · doi:10.1088/0967-3334/25/2/r01 · Cited by 829
Fall detection - Principles and Methods
Noury, N., Fleury, A., Rumeau, P., Bourke, A. K., Laighin, G. O., Rialle, V., & Lundy, J. E. (2007) · 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2007.4352627 · Cited by 615
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation
Rougier, C., Meunier, J., St-Arnaud, A., & Rousseau, J. (2011) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2011.2129370 · Cited by 490
Wearable Sensors for Reliable Fall Detection
Chen, J., Kwong, K., Chang, D., Luk, J., & Bajcsy, R. (2005) · 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference · doi:10.1109/iembs.2005.1617246 · Cited by 443
A Smart and Passive Floor-Vibration Based Fall Detector for Elderly
Alwan, M., Rajendran, P. J., Kell, S., Mack, D., Dalal, S., Wolfe, M., & Felder, R. (2006) · 2006 2nd International Conference on Information & Communication Technologies · doi:10.1109/ictta.2006.1684511 · Cited by 402
A smart sensor to detect the falls of the elderly
Sixsmith, A., & Johnson, N. (2004) · IEEE Pervasive Computing · doi:10.1109/mprv.2004.1316817 · Cited by 399
Zigel, Y., Litvak, D., & Gannot*, I. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2030171 · Cited by 375
Approaches and principles of fall detection for elderly and patient
Yu, X. (2008) · HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services · doi:10.1109/health.2008.4600107 · Cited by 328
Fall Detection from Human Shape and Motion History Using Video Surveillance
Rougier, C., Meunier, J., St-Arnaud, A., & Rousseau, J. (2007) · 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07) · doi:10.1109/ainaw.2007.181 · Cited by 324
Cited by
A survey on ambient-assisted living tools for older adults
Rashidi, P., & Mihailidis, A. (2013) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2012.2234129 · Cited by 1,128
WiFall: Device-Free Fall Detection by Wireless Networks
Wang, Y., Wu, K., & Ni, L. M. (2017) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2016.2557792 · Cited by 836
Human fall detection on embedded platform using depth maps and wireless accelerometer
Kwolek, B., & Kepski, M. (2014) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2014.09.005 · Cited by 650
A Survey on Ambient Intelligence in Healthcare
Acampora, G., Cook, D. J., Rashidi, P., & Vasilakos, A. V. (2013) · Proceedings of the IEEE · doi:10.1109/jproc.2013.2262913 · Cited by 630
Remote patient monitoring: a comprehensive study
Malasinghe, L. P., Ramzan, N., & Dahal, K. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-017-0598-x · Cited by 534
Metadata
- Authors
- Mubashir, M., Shao, L., & Seed, L.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 100
- Pages
- 144-152
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2076068958
- Cited by
- 869
- References
- 52
- FWCI
- 48.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Mubashir, M., Shao, L., & Seed, L. (2013). A survey on fall detection: Principles and approaches. Neurocomputing. https://doi.org/10.1016/j.neucom.2011.09.037
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
