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WiFi-based pose estimation is a technology with great potential for the development of smart homes and metaverse avatar generation.
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2004
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F. Bianchi, S. J. Redmond, M. R. Narayanan, S. Cerutti, and N. H. Lovell, “Barometric pressure and triaxial accelerometry-based falls event detection,” IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol. 18, no. 6, pp. 619–627, 2010
2010
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M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele, “2d human pose estimation: New benchmark and state of the art analysis,” in Proceedings of the IEEE Conference on computer Vision and Pattern Recognition , 2014, pp. 3686–3693
2014
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A. Toshev and C. Szegedy, “Deeppose: Human pose estimation via deep neural networks,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2014, pp. 1653–1660
2014
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2014
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T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft coco: Common objects in context,” in Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13 . Springer, 2014, pp. 740–755
2014
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W. Wang, A. X. Liu, M. Shahzad, K. Ling, and S. Lu, “Understanding and modeling of wifi signal based human activity recognition,” in Proceedings of the 21st annual international conference on mobile computing and networking , 2015, pp. 65–76
2015
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Y. Ganin and V. Lempitsky, “Unsupervised domain adaptation by backpropagation,” in International conference on machine learning . PMLR, 2015, pp. 1180–1189
2015
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K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
2016
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——, “Device-free human activity recognition using commercial wifi devices,” IEEE Journal on Selected Areas in Communications , vol. 35, no. 5, pp. 1118–1131, 2017
2017
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H. Zou, Y. Zhou, J. Yang, L. Xie, and C. Spanos, “Freecount: Device-free crowd counting with commodity wifi,” in 2017 IEEE Global Communications Conference (GLOBECOM) . IEEE, 2017
2017
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H. Zou, J. Yang, Y. Zhou, L. Xie, and C. J. Spanos, “Robust wifi-enabled device-free gesture recognition via unsupervised adversarial domain adaptation,” in 2018 27th International Conference on Computer Communication and Networks (ICCCN) . IEEE, 2018, pp. 1–8
2018
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W. Jiang, C. Miao, F. Ma, S. Yao, Y. Wang, Y. Yuan, H. Xue, C. Song, X. Ma, D. Koutsonikolas et al. , “Towards environment independent device free human activity recognition,” in Proceedings of the 24th annual international conference on mobile computing and networking , 2018, pp. 289–304
2018
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H. Zou, J. Yang, Y. Zhou, and C. J. Spanos, “Joint adversarial domain adaptation for resilient wifi-enabled device-free gesture recognition,” in 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) . IEEE, 2018, pp. 202–207
2018
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F. Wang, W. Gong, and J. Liu, “On spatial diversity in wifi-based human activity recognition: A deep learning-based approach,” IEEE Internet of Things Journal , vol. 6, no. 2, pp. 2035–2047, 2018
2018
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H. Zou, Y. Zhou, J. Yang, H. Jiang, L. Xie, and C. J. Spanos, “Deepsense: Device-free human activity recognition via autoencoder long-term recurrent convolutional network,” in 2018 IEEE International Conference on Communications (ICC) . IEEE, 2018, pp. 1–6
2018
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J. Yang, H. Zou, H. Jiang, and L. Xie, “Carefi: Sedentary behavior monitoring system via commodity wifi infrastructures,” IEEE Transactions on Vehicular Technology , vol. 67, no. 8, pp. 7620–7629, 2018
2018
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Y. Wang, C. Xiu, X. Zhang, and D. Yang, “Wifi indoor localization with csi fingerprinting-based random forest,” Sensors , vol. 18, no. 9, p. 2869, 2018
2018
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R. Zhou, M. Hao, X. Lu, M. Tang, and Y. Fu, “Device-free localization based on csi fingerprints and deep neural networks,” in 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) . IEEE, 2018, pp. 1–9
2018
Cited alongside, same era.
H. Zou, Y. Zhou, J. Yang, H. Jiang, L. Xie, and C. J. Spanos, “Wifi-enabled device-free gesture recognition for smart home automation,” in 2018 IEEE 14th international conference on control and automation (ICCA) . IEEE, 2018, pp. 476–481
2018
Cited alongside, same era.
H. Zou, Y. Zhou, J. Yang, W. Gu, L. Xie, and C. J. Spanos, “Wifi-based human identification via convex tensor shapelet learning,” in Thirty-Second AAAI Conference on Artificial Intelligence , 2018
2018
Cited alongside, same era.
H. Zou, Y. Zhou, J. Yang, and C. J. Spanos, “Device-free occupancy detection and crowd counting in smart buildings with wifi-enabled iot,” Energy and Buildings , vol. 174, pp. 309–322, 2018
2018
Cited alongside, same era.
Y. Ren, Z. Wang, S. Tan, Y. Chen, and J. Yang, “Winect: 3d human pose tracking for free-form activity using commodity wifi,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies , vol. 5, no. 4, pp. 1–29, 2021
2021
Later among the works it cites.
2021
Later among the works it cites.
H. Li, X. Chen, J. Wang, D. Wu, and X. Liu, “Dafi: Wifi-based device-free indoor localization via domain adaptation,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies , vol. 5, no. 4, pp. 1–21, 2021
2021
Later among the works it cites.
Y. Wang, L. Guo, Z. Lu, X. Wen, S. Zhou, and W. Meng, “From point to space: 3d moving human pose estimation using commodity wifi,” IEEE Communications Letters , vol. 25, no. 7, pp. 2235–2239, 2021
2021
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2019
Cited alongside, same era.
F. Wang, J. Liu, and W. Gong, “Wicar: Wifi-based in-car activity recognition with multi-adversarial domain adaptation,” in Proceedings of the International Symposium on Quality of Service , 2019, pp. 1–10
2019
Cited alongside, same era.
K. Sun, B. Xiao, D. Liu, and J. Wang, “Deep high-resolution representation learning for human pose estimation,” in CVPR , 2019
2019
Cited alongside, same era.
Y. Ma, G. Zhou, and S. Wang, “Wifi sensing with channel state information: A survey,” ACM Computing Surveys (CSUR) , vol. 52, no. 3, pp. 1–36, 2019
2019
Cited alongside, same era.
H. Zou, J. Yang, H. Prasanna Das, H. Liu, Y. Zhou, and C. J. Spanos, “Wifi and vision multimodal learning for accurate and robust device-free human activity recognition,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , 2019, pp. 0–0
2019
Cited alongside, same era.
J. Yang, H. Zou, Y. Zhou, and L. Xie, “Learning gestures from wifi: A siamese recurrent convolutional architecture,” IEEE Internet of Things Journal , vol. 6, no. 6, pp. 10 763–10 772, 2019
2019
Cited alongside, same era.
F. Wang, S. Zhou, S. Panev, J. Han, and D. Huang, “Person-in-wifi: Fine-grained person perception using wifi,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2019, pp. 5452–5461
2019
Cited alongside, same era.
R. Xu, G. Li, J. Yang, and L. Lin, “Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2019, pp. 1426–1435
2019
Cited alongside, same era.
B. Li, Y. Wang, S. Zhang, D. Li, K. Keutzer, T. Darrell, and H. Zhao, “Learning invariant representations and risks for semi-supervised domain adaptation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 1104–1113
2021
Later among the works it cites.
2022
Later among the works it cites.
D. Wang, J. Yang, W. Cui, L. Xie, and S. Sun, “Airfi: empowering wifi-based passive human gesture recognition to unseen environment via domain generalization,” IEEE Transactions on Mobile Computing , 2022
2022
Later among the works it cites.
——, “Fidora: Robust wifi-based indoor localization via unsupervised domain adaptation,” IEEE Internet of Things Journal , vol. 9, no. 12, pp. 9872–9888, 2022
2022
Later among the works it cites.
S. Ji, Y. Xie, and M. Li, “Sifall: Practical online fall detection with rf sensing,” in Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems , 2022, pp. 563–577
2022
Later among the works it cites.
2022
Later among the works it cites.
2022
Later among the works it cites.
D. Wang, J. Yang, W. Cui, L. Xie, and S. Sun, “Caution: A robust wifi-based human authentication system via few-shot open-set gait recognition,” IEEE Internet of Things Journal , 2022
2022
Later among the works it cites.
L. Deng, J. Yang, S. Yuan, H. Zou, C. X. Lu, and L. Xie, “Gaitfi: Robust device-free human identification via wifi and vision multimodal learning,” IEEE Internet of Things Journal , vol. 10, no. 1, pp. 625–636, 2022
2022
Later among the works it cites.
Y. Zhou, H. Huang, S. Yuan, H. Zou, L. Xie, and J. Yang, “Metafi++: Wifi-enabled transformer-based human pose estimation for metaverse avatar simulation,” IEEE Internet of Things Journal , 2023
2023
Closest in time.
J. Yang, X. Chen, H. Zou, C. X. Lu, D. Wang, S. Sun, and L. Xie, “Sensefi: A library and benchmark on deep-learning-empowered wifi human sensing,” Patterns , vol. 4, no. 3, 2023
2023
Closest in time.
X. Li, F. Song, M. Luo, K. Li, L. Chang, X. Chen, and Z. Wang, “Caring: Towards collaborative and cross-domain wi-fi sensing,” IEEE Transactions on Mobile Computing , 2023
2023
Closest in time.
Z. Taghiyarrenani, S. Nowaczyk, S. Pashami, and M.-R. Bouguelia, “Multi-domain adaptation for regression under conditional distribution shift,” Expert Systems with Applications , vol. 224, p. 119907, 2023
2023
Closest in time.