Domain Adaptation for Human Fall Detection Using WiFi Channel State Information

Author:

Narui HirokazuORCID,Shu RuiORCID,Gonzalez-Navarro Felix FORCID,Ermon StefanoORCID

Publisher

Springer International Publishing

Reference6 articles.

1. Ganin, Y., Lempitsky, V.: Unsupervised domain adaptation by backpropagation. In: International Conference on Machine Learning, pp. 1180–1189 (2015)

2. Shimodaira, H.: Improving predictive inference under covariate shift by weighting the log-likelihood function. J. Stat. Plan. Inference 90(2), 224–227 (2000)

3. Shu, R., Bui, H., Narui, H., Ermon, S.: A DIRT-t approach to unsupervised domain adaptation. In: International Conference on Learning Representations (2018)

4. van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579–2605 (2008)

5. Yuxi, W., Kaishun, W., Lionel, M.N.: WiFall: device-free fall detection by wireless networks. IEEE Trans. Mob. Comput. 16(2), 581–594 (2017)

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