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Activity summarisation and fall detection in a supportive home environment
Abstract
Automatic semantic summarisation of human activity and detection of unusual inactivity are useful goals for a vision system operating in a supportive home environment. Learned models of spatial context are used in conjunction with a tracker to achieve these goals. The tracker uses a coarse ellipse model and a particle filter to cope with cluttered scenes with multiple sources of illumination. Summarisation in terms of semantic regions is demonstrated using acted scenes through automatic recovery of the instructions given to the actor. The use of 'unusual inactivity' detection as a cue for fall detection is also demonstrated.
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Cited by
A survey on fall detection: Principles and approaches
Mubashir, M., Shao, L., & Seed, L. (2013) · Neurocomputing · doi:10.1016/j.neucom.2011.09.037 · Cited by 869
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
Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
Bagalà, F., Becker, C., Cappello, A., Chiari, L., Aminian, K., Hausdorff, J. M., Zijlstra, W., & Klenk, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037062 · Cited by 464
Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data
Lu, N., Wu, Y., Feng, L., & Song, J. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2808281 · Cited by 339
iFall: An android application for fall monitoring and response
Sposaro, F., & Tyson, G. (2009) · 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2009.5334912 · Cited by 317
Metadata
- Authors
- Nait-Charif, H., & McKenna, S. J.
- Venue
- Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
- Publisher
- IEEE
- Published
- 2004
- Pages
- 323-326 Vol.4
- ISSN
- 1041-3278 (ISSN-L)
- OpenAlex
- W4251262448
- Cited by
- 223
- References
- 0
- FWCI
- 6.76
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Nait-Charif, H., & McKenna, S. J. (2004). Activity summarisation and fall detection in a supportive home environment. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. https://doi.org/10.1109/icpr.2004.1333768
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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.