Deep Learning-based Abnormal Behavior Detection System for Dementia Patients
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Kim, Kookjin
(Dept. of Computer Science and Engineering, Sejong Univ.)
Lee, Seungjin (Dept. of Computer Science and Engineering, Sejong Univ.) Kim, Sungjoong (Dept. of Computer Science and Engineering, Sejong Univ.) Kim, Jaegeun (Dept. of Computer Science and Engineering, Sejong Univ.) Shin, Dongil (Dept. of Computer Science and Engineering, Sejong Univ.) shin, Dong-kyoo (Dept. of Computer Science and Engineering, Sejong Univ.) |
1 | Bin-na Kim et al., "Global Trends of Dementia Policy 2018", central dementia center (NIDR-1801-0022), 2018. https://ansim.nid.or.kr/community/pds_view.aspx?bid=185 |
2 | S. Hochreiter & J. Schmidhuber, "Long short-term memory," Neural computation, 9(8):1735-1780, 1997. https://www.mitpressjournals.org/doi/pdf/10.1162/neco.1997.9.8.1735 DOI |
3 | G. Singla, D. J. Cook, & M. Schmitter-Edgecombe, "Recognizing independent and joint activities among multiple residents in smart environments," Journal of ambient intelligence and humanized computing 1(1), pp 57-63, 2010. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2958106 DOI |
4 | P. N. Dawadi, D. J. Cook, & M. Schmitter-Edgecombe, "Modeling patterns of activities using activity curves," Pervasive and mobile computing 28, pp 51-68, 2016. https://www.sciencedirect.com/science/article/pii/S157411921500173X DOI |
5 | B. Das, D. J. Cook, N. C. Krishnan & M. Schmitter-Edgecombe, "One-class classification-based real-time activity error detection in smart homes," IEEE journal of selected topics in signal processing 10(5), pp 914-923, 2016. https://ieeexplore.ieee.org/abstract/document/7421975 DOI |
6 | C. Vondrick, H. Pirsiavash & A. Torralba, "Anticipating visual representations from unlabeled video," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 98-106, 2016. https://arxiv.org/abs/1504.08023 |
7 | H. Zhong, J. Shi & M. Visontai, "Detecting unusual activity in video," In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, Vol 2, pp. 1-8, 2004. https://ieeexplore.ieee.org/abstract/document/1315249/ |
8 | Y. Chen, G. Liang, K. K. Lee & Y. Xu, "Abnormal behavior detection by multi-SVM-based Bayesian network," In 2007 International Conference on Information Acquisition, IEEE, pp. 298-303, 2007. https://ieeexplore.ieee.org/abstract/document/4295746 |
9 | R. Mehran, A. Oyama, & M. Shah, "Abnormal crowd behavior detection using social force model," In 2009 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, pp. 935-942, 2009. https://ieeexplore.ieee.org/abstract/document/5206641/ |
10 | J. Yin, Q. Yang, & J. J. Pan, "Sensor-based abnormal human-activity detection," IEEE Transactions on Knowledge and Data Engineering 20(8), pp. 1082-1090, 2008. https://ieeexplore.ieee.org/document/4358934 DOI |
11 | Y. X. Hung, C. Y. Chiang, S. J. Hsu & C. T. Chan, "Abnormality detection for improving elder's daily life independent," In International conference on smart homes and health telematics, Springer, Berlin, Heidelberg, pp. 186-194, 2010. https://link.springer.com/chapter/10.1007/978-3-642-13778-5_23 |
12 | A. Gaddam, S. C. Mukhopadhyay, & G. S. Gupta, "Elder care based on cognitive sensor network," IEEE Sensors Journal 11(3), pp. 574-581, 2010. https://ieeexplore.ieee.org/abstract/document/5483132/ DOI |
13 | P. Baldi, "Autoencoders, unsupervised learning, and deep architectures," In Proceedings of ICML workshop on unsupervised and transfer learning, pp. 37-49, 2012. https://dl.acm.org/citation.cfm?id=3045796.3045801 |
14 | D. P. Kingma, & M. Welling, "Auto-encoding variational bayes," arXiv preprint arXive:1312.6114, 2013. https://arxiv.org/abs/1312.6114 |
15 | P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, & P. A. Manzagol, "Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion," Journal of machine learning research 11, pp. 3371-3408, 2010. http://www.jmlr.org/papers/volume11/vincent10a/vincent10a.pdf |
16 | A. Ng, "Sparse autoencoder," CS294A Lecture notes 72, pp. 1-19, 2011. https://web.stanford.edu/class/cs294a/sparseAutoencoder.pdf |
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