The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Home Camera-Based Fall Detection System for the Elderly
Open accessAbstract
Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall detectors are typically based on wearable devices, and the elderly often forget to wear them. In addition, fall detectors based on artificial vision are not yet available on the market. In this paper, we present a new low-cost fall detector for smart homes based on artificial vision algorithms. Our detector combines several algorithms (background subtraction, Kalman filtering and optical flow) as input to a machine learning algorithm with high detection accuracy. Tests conducted on over 50 different fall videos have shown a detection ratio of greater than 96%.
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Cites
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Improved adaptive Gaussian mixture model for background subtraction
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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
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
Multicamera People Tracking with a Probabilistic Occupancy Map
Fleuret, F., Berclaz, J., Lengagne, R., & Fua, P. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1174 · Cited by 821
Challenges, issues and trends in fall detection systems
Igual, R., Medrano, C., & Plaza, I. (2013) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-12-66 · Cited by 654
Contour-based object tracking with occlusion handling in video acquired using mobile cameras
Yilmaz, A., Li, X., & Shah, M. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.96 · Cited by 493
Internet Use and Depression Among Retired Older Adults in the United States: A Longitudinal Analysis
Cotten, S. R., Ford, G., Ford, S., & Hale, T. M. (2014) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/gbu018 · Cited by 481
Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
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A Smart and Passive Floor-Vibration Based Fall Detector for Elderly
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Cited by
Research of Fall Detection and Fall Prevention Technologies: A Systematic Review
Ren, L., & Peng, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2922708 · Cited by 266
Yan, J., Wang, X., Shi, J., & Hu, S. (2023) · Sensors · doi:10.3390/s23042153 · Cited by 28
Metadata
- Authors
- De Miguel, K., Brunete, A., Hernando, M., & Gambao, E.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-12-09
- Volume
- 17
- Issue
- 12
- Pages
- 2864
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2773326826
- Cited by
- 267
- References
- 39
- FWCI
- 8.09
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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