{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T23:55:50Z","timestamp":1778802950803,"version":"3.51.4"},"reference-count":91,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T00:00:00Z","timestamp":1720137600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T00:00:00Z","timestamp":1720137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. ZR2022MF315"],"award-info":[{"award-number":["No. ZR2022MF315"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. ZR2022MF315"],"award-info":[{"award-number":["No. ZR2022MF315"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. ZR2022MF315"],"award-info":[{"award-number":["No. ZR2022MF315"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. ZR2022MF315"],"award-info":[{"award-number":["No. ZR2022MF315"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. ZR2022MF315"],"award-info":[{"award-number":["No. ZR2022MF315"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. ZR2022MF315"],"award-info":[{"award-number":["No. ZR2022MF315"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Wi-Fi sensing has garnered increasing interest for its significant advantages, primarily leveraging Wi-Fi signal fluctuations induced by human activities and advanced neural network algorithms. However, its application faces challenges due to limited generalizability, necessitating frequent data recollection and neural network retraining for adaptation to new environments. To address these limitations, some researchers introduced few-shot learning into Wi-Fi sensing applications because it offers a promising solution with its ability to achieve remarkable performance in novel scenarios using minimal training samples. Despite its potential, a comprehensive review of its applications within this domain remains absent. This study endeavors to fill this gap by exploring prominent Wi-Fi sensing applications that incorporate few-shot learning, aiming to delineate their key features. We categorize few-shot learning approaches into three distinct methodologies: transfer learning, metric learning, and meta-learning, based on their neural network training strategies. Through this classification, we examine representative systems from an application perspective and elucidate the principles of few-shot learning implementation. These systems are evaluated in terms of learning methodology, data modality, and recognition accuracy. Finally, this paper highlights the challenges and future directions for few-shot learning in Channel State Information (CSI) based human sensing, providing a valuable resource for researchers in the field of Wi-Fi human sensing leveraging few-shot learning.<\/jats:p>","DOI":"10.1007\/s10462-024-10812-4","type":"journal-article","created":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T05:01:45Z","timestamp":1720155705000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Review of few-shot learning application in CSI human sensing"],"prefix":"10.1007","volume":"57","author":[{"given":"Zhengjie","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenchao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaolei","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingwei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinjing","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,5]]},"reference":[{"key":"10812_CR1","doi-asserted-by":"publisher","unstructured":"Abdelnasser H, Youssef M, Harras KA (2015) Wigest: a ubiquitous wifi-based gesture recognition system. In: 2015 IEEE Conference on Computer Communications (INFOCOM), pp. 1472\u20131480. https:\/\/doi.org\/10.1109\/INFOCOM.2015.7218525","DOI":"10.1109\/INFOCOM.2015.7218525"},{"issue":"11s","key":"10812_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3519022","volume":"54","author":"S Antonelli","year":"2022","unstructured":"Antonelli S, Avola D, Cinque L, Crisostomi D, Foresti GL, Galasso F, Marini MR, Mecca A, Pannone D (2022) Few-shot object detection: a survey. ACM Comput Surv (CSUR) 54(11s):1\u201337. https:\/\/doi.org\/10.1145\/3519022","journal-title":"ACM Comput Surv (CSUR)"},{"key":"10812_CR3","doi-asserted-by":"publisher","unstructured":"Bahadori N, Ashdown J, Restuccia F (2022) Rewis: Reliable wi-fi sensing through few-shot multi-antenna multi-receiver csi learning. In: 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 50\u201359. https:\/\/doi.org\/10.1109\/WoWMoM54355.2022.00027","DOI":"10.1109\/WoWMoM54355.2022.00027"},{"key":"10812_CR4","doi-asserted-by":"publisher","unstructured":"Chen B-J, Chang RY (2022) Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization. Paper presented at the ICC 2022 - IEEE International Conference on Communications, pp. 4631\u20134636. https:\/\/doi.org\/10.1109\/ICC45855.2022.9839217","DOI":"10.1109\/ICC45855.2022.9839217"},{"issue":"11","key":"10812_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3570325","volume":"55","author":"C Chen","year":"2023","unstructured":"Chen C, Zhou G, Lin Y (2023) Cross-domain wifi sensing with channel state information: a survey. ACM Comput Surv 55(11):1\u201337. https:\/\/doi.org\/10.1145\/3570325","journal-title":"ACM Comput Surv"},{"key":"10812_CR6","doi-asserted-by":"publisher","unstructured":"Cominelli M, Gringoli F, Restuccia F (2023) Exposing the csi: A systematic investigation of csi-based wi-fi sensing capabilities and limitations. In: 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 81\u201390. https:\/\/doi.org\/10.1109\/PERCOM56429.2023.10099368","DOI":"10.1109\/PERCOM56429.2023.10099368"},{"key":"10812_CR7","doi-asserted-by":"publisher","unstructured":"Ding X, Jiang T, Zhong Y, Wu S, Yang J, Xue W (2021) Improving wifi-based human activity recognition with adaptive initial state via one-shot learning. In: 2021 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1\u20136. https:\/\/doi.org\/10.1109\/WCNC49053.2021.9417590","DOI":"10.1109\/WCNC49053.2021.9417590"},{"key":"10812_CR8","doi-asserted-by":"publisher","unstructured":"Ding X, Jiang T, Zhong Y, Yang J, Huang Y, Li Z (2021) Device-free location-independent human activity recognition via few-shot learning. In: 2021 IEEE\/CIC International Conference on Communications in China (ICCC Workshops), pp. 106\u2013111. https:\/\/doi.org\/10.1109\/ICCCWorkshops52231.2021.9538898","DOI":"10.1109\/ICCCWorkshops52231.2021.9538898"},{"key":"10812_CR9","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11040642","author":"X Ding","year":"2022","unstructured":"Ding X, Jiang T, Zhong Y, Wu S, Yang J, Zeng J (2022) Wi-fi-based location-independent human activity recognition with attention mechanism enhanced method. Electronics. https:\/\/doi.org\/10.3390\/electronics11040642","journal-title":"Electronics"},{"key":"10812_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2021\/4259629","volume":"2021","author":"R Duan","year":"2021","unstructured":"Duan R, Li D, Tong Q, Yang T, Liu X, Liu X (2021) A survey of few-shot learning: an effective method for intrusion detection. Secur Commun Netw 2021:1\u201310. https:\/\/doi.org\/10.1155\/2021\/4259629","journal-title":"Secur Commun Netw"},{"key":"10812_CR11","doi-asserted-by":"publisher","unstructured":"Fe-Fei L, Fergus Perona (2003) A bayesian approach to unsupervised one-shot learning of object categories. In: Proceedings Ninth IEEE International Conference on Computer Vision, pp. 1134\u201311412. https:\/\/doi.org\/10.1109\/ICCV.2003.1238476","DOI":"10.1109\/ICCV.2003.1238476"},{"key":"10812_CR12","doi-asserted-by":"publisher","unstructured":"Finn C, Abbeel P, Levine S (2017) Model-agnostic meta-learning for fast adaptation of deep networks. In: Proceedings of the 34th International Conference on Machine Learning - Volume 70. ICML\u201917, pp. 1126\u20131135. JMLR.org, Sydney NSW Australia. https:\/\/doi.org\/10.5555\/3305381.3305498","DOI":"10.5555\/3305381.3305498"},{"issue":"2","key":"10812_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3463504","volume":"5","author":"R Gao","year":"2021","unstructured":"Gao R, Zhang M, Zhang J, Li Y, Yi E, Wu D, Wang L, Zhang D (2021) Towards position-independent sensing for gesture recognition with Wi-Fi. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5(2):1\u201328. https:\/\/doi.org\/10.1145\/3463504","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"10812_CR14","doi-asserted-by":"publisher","unstructured":"Gao J, Wu D, Yin F, Kong Q, Xu L, Cui S (2023) Metaloc: learning to learn wireless localization. IEEE Journal on Selected Areas in Communications, 1\u20131 https:\/\/doi.org\/10.1109\/JSAC.2023.3322766","DOI":"10.1109\/JSAC.2023.3322766"},{"key":"10812_CR15","doi-asserted-by":"publisher","unstructured":"Gassner A, Musat C, Rusu A, Burg A (2021) OpenCSI: An open-source dataset for indoor localization using CSI-based fingerprinting. arXiv e-prints, 2104\u201307963. https:\/\/doi.org\/10.48550\/arXiv.2104.07963arXiv:2104.07963 [eess.SP]","DOI":"10.48550\/arXiv.2104.07963"},{"key":"10812_CR16","doi-asserted-by":"publisher","unstructured":"Gringoli F, Schulz M, Link J, Hollick M (2019) Free your csi: A channel state information extraction platform for modern wi-fi chipsets. In: Proceedings of the 13th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization, pp. 21\u201328. https:\/\/doi.org\/10.1145\/3349623.3355477","DOI":"10.1145\/3349623.3355477"},{"key":"10812_CR17","doi-asserted-by":"publisher","unstructured":"Gringoli F, Cominelli M, Blanco A, Widmer J (2022) Ax-csi: Enabling csi extraction on commercial 802.11 ax wi-fi platforms. In: Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & CHaracterization, pp. 46\u201353. https:\/\/doi.org\/10.1145\/3477086.3480833","DOI":"10.1145\/3477086.3480833"},{"issue":"3","key":"10812_CR18","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1109\/TCSS.2021.3056654","volume":"8","author":"Y Gu","year":"2021","unstructured":"Gu Y, Yan H, Dong M, Wang M, Zhang X, Liu Z, Ren F (2021) Wione: one-shot learning for environment-robust device-free user authentication via commodity wi-fi in man-machine system. IEEE Trans Comput Soc Syst 8(3):630\u2013642. https:\/\/doi.org\/10.1109\/TCSS.2021.3056654","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"4","key":"10812_CR19","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1109\/THMS.2022.3163189","volume":"52","author":"Y Gu","year":"2022","unstructured":"Gu Y, Zhang X, Wang Y, Wang M, Yan H, Ji Y, Liu Z, Li J, Dong M (2022) Wigrunt: wifi-enabled gesture recognition using dual-attention network. IEEE Trans Human-Mach Syst 52(4):736\u2013746. https:\/\/doi.org\/10.1109\/THMS.2022.3163189","journal-title":"IEEE Trans Human-Mach Syst"},{"issue":"12","key":"10812_CR20","doi-asserted-by":"publisher","first-page":"16905","DOI":"10.1109\/TVT.2023.3289631","volume":"72","author":"H Gu","year":"2023","unstructured":"Gu H, Yang J, Gui G, Gacanin H (2023) Triplet matchnet based indoor position method using CSI fingerprint similarity comparison. IEEE Trans Veh Technol 72(12):16905\u201316910. https:\/\/doi.org\/10.1109\/TVT.2023.3289631","journal-title":"IEEE Trans Veh Technol"},{"key":"10812_CR21","doi-asserted-by":"publisher","first-page":"154935","DOI":"10.1109\/ACCESS.2019.2947024","volume":"7","author":"L Guo","year":"2019","unstructured":"Guo L, Wang L, Lin C, Liu J, Lu B, Fang J, Liu Z, Shan Z, Yang J, Guo S (2019) Wiar: a public dataset for wifi-based activity recognition. IEEE Access 7:154935\u2013154945. https:\/\/doi.org\/10.1109\/ACCESS.2019.2947024","journal-title":"IEEE Access"},{"key":"10812_CR22","doi-asserted-by":"publisher","first-page":"4755","DOI":"10.1007\/s10462-021-10116-x","volume":"55","author":"N Gupta","year":"2022","unstructured":"Gupta N, Gupta SK, Pathak R (2022) Human activity recognition in artificial intelligence framework: a narrative review. Artif Intell Rev 55:4755\u20134808. https:\/\/doi.org\/10.1007\/s10462-021-10116-x","journal-title":"Artif Intell Rev"},{"issue":"1","key":"10812_CR23","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1145\/1925861.1925870","volume":"41","author":"D Halperin","year":"2011","unstructured":"Halperin D, Hu W, Sheth A, Wetherall D (2011) Tool release: gathering 802.11 n traces with channel state information. ACM SIGCOMM Comput Commun Rev 41(1):53\u201353. https:\/\/doi.org\/10.1145\/1925861.1925870","journal-title":"ACM SIGCOMM Comput Commun Rev"},{"issue":"9","key":"10812_CR24","doi-asserted-by":"publisher","first-page":"8296","DOI":"10.1109\/JIOT.2020.2989426","volume":"7","author":"Y He","year":"2020","unstructured":"He Y, Chen Y, Hu Y, Zeng B (2020) Wifi vision: sensing, recognition, and detection with commodity mimo-ofdm wifi. IEEE Internet Things J 7(9):8296\u20138317. https:\/\/doi.org\/10.1109\/JIOT.2020.2989426","journal-title":"IEEE Internet Things J"},{"key":"10812_CR25","doi-asserted-by":"publisher","unstructured":"Hernandez SM, Bulut E (2020) Lightweight and standalone iot based wifi sensing for active repositioning and mobility. In: 2020 IEEE 21st International Symposium on \u201cA World of Wireless, Mobile and Multimedia Networks\u201d (WoWMoM), pp. 277\u2013286. https:\/\/doi.org\/10.1109\/WoWMoM49955.2020.00056","DOI":"10.1109\/WoWMoM49955.2020.00056"},{"key":"10812_CR26","doi-asserted-by":"publisher","unstructured":"Hou R, Chang H, Ma B, Shan S, Chen X (2019) Cross attention network for few-shot classification. In: Proceedings of the 33rd International Conference on Neural Information Processing Systems. Curran Associates Inc., Red Hook, NY, USA. https:\/\/doi.org\/10.5555\/3454287.3454647","DOI":"10.5555\/3454287.3454647"},{"key":"10812_CR27","doi-asserted-by":"publisher","unstructured":"Hou H, Bi S, Zheng L, Lin X, Quan Z (2022) Sample-efficient cross-domain wifi indoor crowd counting via few-shot learning. In: Proceedings of the 2022 31st Wireless and Optical Communications Conference (WOCC), pp. 132\u2013137. https:\/\/doi.org\/10.1109\/WOCC55104.2022.9880570","DOI":"10.1109\/WOCC55104.2022.9880570"},{"issue":"8","key":"10812_CR28","doi-asserted-by":"publisher","first-page":"7038","DOI":"10.1109\/JIOT.2022.3228557","volume":"10","author":"H Hou","year":"2023","unstructured":"Hou H, Bi S, Zheng L, Lin X, Wu Y, Quan Z (2023) Dasecount: domain-agnostic sample-efficient wireless indoor crowd counting via few-shot learning. IEEE Internet Things J 10(8):7038\u20137050. https:\/\/doi.org\/10.1109\/JIOT.2022.3228557","journal-title":"IEEE Internet Things J"},{"key":"10812_CR29","doi-asserted-by":"publisher","DOI":"10.3390\/app11083329","author":"P Hu","year":"2021","unstructured":"Hu P, Tang C, Yin K, Zhang X (2021) Wigr: a practical wi-fi-based gesture recognition system with a lightweight few-shot network. Appl Sci. https:\/\/doi.org\/10.3390\/app11083329","journal-title":"Appl Sci"},{"key":"10812_CR30","doi-asserted-by":"publisher","unstructured":"Huang S, Chen Y, Wu D, Yu G, Zhang Y (2022). Few-shot learning for human activity recognition based on CSI. https:\/\/doi.org\/10.1109\/CACML55074.2022.00074","DOI":"10.1109\/CACML55074.2022.00074"},{"issue":"4","key":"10812_CR31","doi-asserted-by":"publisher","first-page":"4071","DOI":"10.1109\/TPAMI.2022.3199617","volume":"45","author":"G Huang","year":"2023","unstructured":"Huang G, Laradji I, V\u00e1zquez D, Lacoste-Julien S, Rodr\u00edguez P (2023) A survey of self-supervised and few-shot object detection. IEEE Trans Pattern Anal Mach Intell 45(4):4071\u20134089. https:\/\/doi.org\/10.1109\/TPAMI.2022.3199617","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"10812_CR32","doi-asserted-by":"publisher","first-page":"4476","DOI":"10.1109\/JIOT.2021.3104666","volume":"9","author":"Z Jiang","year":"2022","unstructured":"Jiang Z, Luan TH, Ren X, Lv D, Hao H, Wang J, Zhao K, Xi W, Xu Y, Li R (2022) Eliminating the barriers: demystifying wi-fi baseband design and introducing the picoscenes wi-fi sensing platform. IEEE Internet Things J 9(6):4476\u20134496. https:\/\/doi.org\/10.1109\/JIOT.2021.3104666","journal-title":"IEEE Internet Things J"},{"key":"10812_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2020.102226","volume":"107","author":"A Khamis","year":"2020","unstructured":"Khamis A, Kusy B, Chou CT, Hu W (2020) Wirelax: towards real-time respiratory biofeedback during meditation using wifi. Ad Hoc Netw 107:102226. https:\/\/doi.org\/10.1016\/j.adhoc.2020.102226","journal-title":"Ad Hoc Netw"},{"issue":"2","key":"10812_CR34","doi-asserted-by":"publisher","first-page":"1593","DOI":"10.1007\/s11277-021-08525-w","volume":"120","author":"NS Khan","year":"2021","unstructured":"Khan NS, Ghani MS (2021) A survey of deep learning based models for human activity recognition. Wireless Pers Commun 120(2):1593\u20131635. https:\/\/doi.org\/10.1007\/s11277-021-08525-w","journal-title":"Wireless Pers Commun"},{"key":"10812_CR35","doi-asserted-by":"publisher","first-page":"5455","DOI":"10.1007\/s10462-020-09825-6","volume":"53","author":"A Khan","year":"2020","unstructured":"Khan A, Sohail A, Zahoora U, Qureshi AS (2020) A survey of the recent architectures of deep convolutional neural networks. Artif Intell Rev 53:5455\u20135516. https:\/\/doi.org\/10.1007\/s10462-020-09825-6","journal-title":"Artif Intell Rev"},{"key":"10812_CR36","unstructured":"Koch G, Zemel R, Salakhutdinov R et al (2015) Siamese neural networks for one-shot image recognition. In: ICML Deep Learning Workshop, vol. 2. Lille"},{"key":"10812_CR37","doi-asserted-by":"publisher","unstructured":"Li H, Yang W, Wang J, Xu Y, Huang L (2016) Wifinger: talk to your smart devices with finger-grained gesture. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 250\u2013261. https:\/\/doi.org\/10.1145\/2971648.2971738","DOI":"10.1145\/2971648.2971738"},{"key":"10812_CR38","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11111752","author":"Y Liu","year":"2022","unstructured":"Liu Y, Zhang H, Zhang W, Lu G, Tian Q, Ling N (2022) Few-shot image classification: current status and research trends. Electronics. https:\/\/doi.org\/10.3390\/electronics11111752","journal-title":"Electronics"},{"key":"10812_CR39","doi-asserted-by":"publisher","DOI":"10.1145\/3631429","author":"Y Liu","year":"2024","unstructured":"Liu Y, Yu A, Wang L, Guo B, Li Y, Yi E, Zhang D (2024) Unifi: a unified framework for generalizable gesture recognition with wi-fi signals using consistency-guided multi-view networks. Proc ACM Interact Mob Wearable Ubiquitous Technol. https:\/\/doi.org\/10.1145\/3631429","journal-title":"Proc ACM Interact Mob Wearable Ubiquitous Technol"},{"key":"10812_CR40","doi-asserted-by":"publisher","unstructured":"Lu J, Gong P, Ye J, Zhang J, Zhang C (2020) A survey on machine learning from few samples. Preprint at https:\/\/ui.adsabs.harvard.edu\/abs\/2020arXiv200902653L. https:\/\/doi.org\/10.48550\/arXiv.2009.02653","DOI":"10.48550\/arXiv.2009.02653"},{"key":"10812_CR41","doi-asserted-by":"publisher","DOI":"10.1145\/3191755","author":"Y Ma","year":"2018","unstructured":"Ma Y, Zhou G, Wang S, Zhao H, Jung W (2018) Signfi: sign language recognition using wifi. Proc ACM Interact Mob Wearable Ubiquitous Technol. https:\/\/doi.org\/10.1145\/3191755","journal-title":"Proc ACM Interact Mob Wearable Ubiquitous Technol"},{"issue":"3","key":"10812_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3310194","volume":"52","author":"Y Ma","year":"2019","unstructured":"Ma Y, Zhou G, Wang S (2019) Wifi sensing with channel state information: a survey. ACM Comput Surv (CSUR) 52(3):1\u201336. https:\/\/doi.org\/10.1145\/3310194","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"1","key":"10812_CR43","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1109\/TII.2019.2909877","volume":"16","author":"X Ma","year":"2020","unstructured":"Ma X, Zhao Y, Zhang L, Gao Q, Pan M, Wang J (2020) Practical device-free gesture recognition using wifi signals based on metalearning. IEEE Trans Industr Inf 16(1):228\u2013237. https:\/\/doi.org\/10.1109\/TII.2019.2909877","journal-title":"IEEE Trans Industr Inf"},{"issue":"9","key":"10812_CR44","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1109\/MCOM.005.2200720","volume":"61","author":"F Meneghello","year":"2023","unstructured":"Meneghello F, Fabbro ND, Garlisi D, Tinnirello I, Rossi M (2023) A CSI dataset for wireless human sensing on 80 MHz wi-fi channels. IEEE Commun Mag 61(9):146\u2013152. https:\/\/doi.org\/10.1109\/MCOM.005.2200720","journal-title":"IEEE Commun Mag"},{"key":"10812_CR45","doi-asserted-by":"publisher","unstructured":"Meng X, Li W, Zhao Z, Liu Z, Wang H (2023) Hierarchical contrastive learning for csi-based fingerprint localization. In: International Conference on Artificial Neural Networks, pp. 306\u2013318. https:\/\/doi.org\/10.1007\/978-3-031-44198-1_26 . Springer","DOI":"10.1007\/978-3-031-44198-1_26"},{"issue":"11","key":"10812_CR46","doi-asserted-by":"publisher","first-page":"4156","DOI":"10.1109\/TMC.2021.3063135","volume":"21","author":"K Niu","year":"2022","unstructured":"Niu K, Zhang F, Wang X, Lv Q, Luo H, Zhang D (2022) Understanding wifi signal frequency features for position-independent gesture sensing. IEEE Trans Mob Comput 21(11):4156\u20134171. https:\/\/doi.org\/10.1109\/TMC.2021.3063135","journal-title":"IEEE Trans Mob Comput"},{"key":"10812_CR47","doi-asserted-by":"publisher","unstructured":"Owfi A, Lin C, Guo L, Afghah F, Ashdown J, Turck K (2023) A meta-learning based generalizable indoor localization model using channel state information. arXiv e-prints, 2305\u201313453 https:\/\/doi.org\/10.48550\/arXiv.2305.13453","DOI":"10.48550\/arXiv.2305.13453"},{"issue":"10","key":"10812_CR48","doi-asserted-by":"publisher","first-page":"4600","DOI":"10.1109\/TMTT.2023.3256532","volume":"71","author":"M Pan","year":"2023","unstructured":"Pan M, Liu S, Liu P, Qi W, Huang Y, Zheng W, Wu Q, Gardill M (2023) In situ calibration of antenna arrays for positioning with 5g networks. IEEE Trans Microw Theory Tech 71(10):4600\u20134613. https:\/\/doi.org\/10.1109\/TMTT.2023.3256532","journal-title":"IEEE Trans Microw Theory Tech"},{"key":"10812_CR49","unstructured":"Ravi S, Larochelle H (2017) Optimization as a model for few-shot learning. In: International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=rJY0-Kcll"},{"issue":"24","key":"10812_CR50","doi-asserted-by":"publisher","first-page":"24643","DOI":"10.1109\/JIOT.2022.3192973","volume":"9","author":"Z Shi","year":"2022","unstructured":"Shi Z, Cheng Q, Zhang JA, Da Yi XuR (2022) Environment-robust wifi-based human activity recognition using enhanced CSI and deep learning. IEEE Internet Things J 9(24):24643\u201324654. https:\/\/doi.org\/10.1109\/JIOT.2022.3192973","journal-title":"IEEE Internet Things J"},{"key":"10812_CR51","doi-asserted-by":"publisher","unstructured":"Snell J, Swersky K, Zemel R (2017) Prototypical networks for few-shot learning. In: Proceedings of the 31st International Conference on Neural Information Processing Systems. NIPS\u201917, pp. 4080\u20134090. Curran Associates Inc., Red Hook, NY, USA. https:\/\/doi.org\/10.3390\/app11083329","DOI":"10.3390\/app11083329"},{"key":"10812_CR52","doi-asserted-by":"publisher","unstructured":"Sung F, Yang Y, Zhang L, Xiang T, Torr PHS, Hospedales TM (2018) Learning to compare: Relation network for few-shot learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https:\/\/doi.org\/10.1109\/CVPR.2018.00131","DOI":"10.1109\/CVPR.2018.00131"},{"issue":"8","key":"10812_CR53","doi-asserted-by":"publisher","first-page":"2789","DOI":"10.1109\/TMC.2020.3045635","volume":"21","author":"S Tan","year":"2022","unstructured":"Tan S, Yang J, Chen Y (2022) Enabling fine-grained finger gesture recognition on commodity wifi devices. IEEE Trans Mob Comput 21(8):2789\u20132802. https:\/\/doi.org\/10.1109\/TMC.2020.3045635","journal-title":"IEEE Trans Mob Comput"},{"key":"10812_CR54","doi-asserted-by":"publisher","unstructured":"Tzeng E, Hoffman J, Zhang N, Saenko K, Darrell T (2014) Deep Domain Confusion: Maximizing for Domain Invariance. arXiv e-prints, 1412\u20133474 https:\/\/doi.org\/10.48550\/arXiv.1412.3474arXiv:1412.3474 [cs.CV]","DOI":"10.48550\/arXiv.1412.3474"},{"key":"10812_CR55","doi-asserted-by":"publisher","unstructured":"Venkatnarayan RH, Page G, Shahzad M (2018) Multi-user gesture recognition using wifi. In: Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services, pp. 401\u2013413. https:\/\/doi.org\/10.1145\/3210240.3210335","DOI":"10.1145\/3210240.3210335"},{"key":"10812_CR56","doi-asserted-by":"publisher","unstructured":"Vinyals O, Blundell C, Lillicrap T, Kavukcuoglu K, Wierstra D (2016) Matching networks for one shot learning. In: Proceedings of the 30th International Conference on Neural Information Processing Systems. NIPS\u201916, pp. 3637\u20133645. Curran Associates Inc., Red Hook, NY, USA. https:\/\/doi.org\/10.5555\/3157382.3157504","DOI":"10.5555\/3157382.3157504"},{"key":"10812_CR57","doi-asserted-by":"publisher","unstructured":"Virmani A, Shahzad M (2017) Position and orientation agnostic gesture recognition using wifi. In: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services, pp. 252\u2013264. https:\/\/doi.org\/10.1145\/3081333.3081340","DOI":"10.1145\/3081333.3081340"},{"issue":"5","key":"10812_CR58","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1109\/MCOM.2018.1700144","volume":"56","author":"Z Wang","year":"2018","unstructured":"Wang Z, Guo B, Yu Z, Zhou X (2018) Wi-fi CSI-based behavior recognition: from signals and actions to activities. IEEE Commun Mag 56(5):109\u2013115. https:\/\/doi.org\/10.1109\/MCOM.2018.1700144","journal-title":"IEEE Commun Mag"},{"key":"10812_CR59","doi-asserted-by":"publisher","unstructured":"Wang C, Liu J, Chen Y, Liu H, Wang Y (2018) Towards in-baggage suspicious object detection using commodity wifi. In: 2018 IEEE Conference on Communications and Network Security (CNS), pp. 1\u20139. https:\/\/doi.org\/10.1109\/CNS.2018.8433142","DOI":"10.1109\/CNS.2018.8433142"},{"key":"10812_CR60","doi-asserted-by":"publisher","first-page":"80058","DOI":"10.1109\/ACCESS.2019.2923743","volume":"7","author":"F Wang","year":"2019","unstructured":"Wang F, Feng J, Zhao Y, Zhang X, Zhang S, Han J (2019) Joint activity recognition and indoor localization with wifi fingerprints. IEEE Access 7:80058\u201380068. https:\/\/doi.org\/10.1109\/ACCESS.2019.2923743","journal-title":"IEEE Access"},{"issue":"3","key":"10812_CR61","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3386252","volume":"53","author":"Y Wang","year":"2020","unstructured":"Wang Y, Yao Q, Kwok JT, Ni LM (2020) Generalizing from a few examples: a survey on few-shot learning. ACM Comput Surv (CSUR) 53(3):1\u201334. https:\/\/doi.org\/10.1145\/3386252","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"2","key":"10812_CR62","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1093\/jcde\/qwab003","volume":"8","author":"Z Wang","year":"2021","unstructured":"Wang Z, Huang Z, Zhang C, Dou W, Guo Y, Chen D (2021) CSI-based human sensing using model-based approaches: a survey. J Comput Des Eng 8(2):510\u2013523. https:\/\/doi.org\/10.1093\/jcde\/qwab003","journal-title":"J Comput Des Eng"},{"issue":"21","key":"10812_CR63","doi-asserted-by":"publisher","first-page":"24297","DOI":"10.1109\/JSEN.2021.3111030","volume":"21","author":"Y Wang","year":"2021","unstructured":"Wang Y, Yao L, Wang Y, Zhang Y (2021) Robust CSI-based human activity recognition with augment few shot learning. IEEE Sens J 21(21):24297\u201324308. https:\/\/doi.org\/10.1109\/JSEN.2021.3111030","journal-title":"IEEE Sens J"},{"key":"10812_CR64","doi-asserted-by":"publisher","unstructured":"Wang D, Yang J, Cui W, Xie L, Sun S (2022) Airfi: Empowering wifi-based passive human gesture recognition to unseen environment via domain generalization. IEEE Transactions on Mobile Computing, pp. 1\u201312 https:\/\/doi.org\/10.1109\/TMC.2022.3230665","DOI":"10.1109\/TMC.2022.3230665"},{"issue":"18","key":"10812_CR65","doi-asserted-by":"publisher","first-page":"17323","DOI":"10.1109\/JIOT.2022.3156099","volume":"9","author":"D Wang","year":"2022","unstructured":"Wang D, Yang J, Cui W, Xie L, Sun S (2022) Caution: a robust wifi-based human authentication system via few-shot open-set recognition. IEEE Internet Things J 9(18):17323\u201317333. https:\/\/doi.org\/10.1109\/JIOT.2022.3156099","journal-title":"IEEE Internet Things J"},{"issue":"22","key":"10812_CR66","doi-asserted-by":"publisher","first-page":"8738","DOI":"10.3390\/s22228738","volume":"22","author":"Z Wang","year":"2022","unstructured":"Wang Z, Ma M, Feng X, Li X, Liu F, Guo Y, Chen D (2022) Skeleton-based human pose recognition using channel state information: a survey. Sensors 22(22):8738. https:\/\/doi.org\/10.3390\/s22228738","journal-title":"Sensors"},{"issue":"10","key":"10812_CR67","doi-asserted-by":"publisher","first-page":"5932","DOI":"10.1109\/TCSVT.2023.3262670","volume":"33","author":"X Wang","year":"2023","unstructured":"Wang X, Ye W, Qi Z, Wang G, Wu J, Shan Y, Qie X, Wang H (2023) Task-aware dual-representation network for few-shot action recognition. IEEE Trans Circuits Syst Video Technol 33(10):5932\u20135946. https:\/\/doi.org\/10.1109\/TCSVT.2023.3262670","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"10812_CR68","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.comcom.2023.10.022","volume":"213","author":"Y Wang","year":"2024","unstructured":"Wang Y, Wang Y, Liu Q, Zhang Y (2024) Dynamic wifi indoor positioning based on the multi-scale metric learning. Comput Commun 213:49\u201360. https:\/\/doi.org\/10.1016\/j.comcom.2023.10.022","journal-title":"Comput Commun"},{"issue":"3","key":"10812_CR69","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1109\/LCOMM.2023.3241658","volume":"27","author":"W Wei","year":"2023","unstructured":"Wei W, Yan J, Wu X, Wang C, Zhang G (2023) A meta-learning approach for device-free indoor localization. IEEE Commun Lett 27(3):846\u2013850. https:\/\/doi.org\/10.1109\/LCOMM.2023.3241658","journal-title":"IEEE Commun Lett"},{"issue":"1","key":"10812_CR70","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3380981","volume":"4","author":"D Wu","year":"2020","unstructured":"Wu D, Gao R, Zeng Y, Liu J, Wang L, Gu T, Zhang D (2020) Fingerdraw: sub-wavelength level finger motion tracking with wifi signals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4(1):1\u201327. https:\/\/doi.org\/10.1145\/3380981","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"10812_CR71","doi-asserted-by":"publisher","unstructured":"Xiao R, Liu J, Han J, Ren K (2021) Onefi: One-shot recognition for unseen gesture via cots wifi. In: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems. SenSys \u201921, pp. 206\u2013219. Association for Computing Machinery, New York, NY, USA. https:\/\/doi.org\/10.1145\/3485730.3485936","DOI":"10.1145\/3485730.3485936"},{"key":"10812_CR72","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106157","volume":"203","author":"Y Xie","year":"2020","unstructured":"Xie Y, Wang H, Yu B, Zhang C (2020) Secure collaborative few-shot learning. Knowl-Based Syst 203:106157. https:\/\/doi.org\/10.1016\/j.knosys.2020.106157","journal-title":"Knowl-Based Syst"},{"issue":"1","key":"10812_CR73","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1109\/MNET.114.2100774","volume":"37","author":"M Xue","year":"2023","unstructured":"Xue M, Chen Y, Gong X, Cao H, Zhang J, Zhang Q (2023) Meta-learning for human-centered wireless sensing: architecture, applications, and challenges. IEEE Network 37(1):88\u201394. https:\/\/doi.org\/10.1109\/MNET.114.2100774","journal-title":"IEEE Network"},{"issue":"5","key":"10812_CR74","doi-asserted-by":"publisher","first-page":"3991","DOI":"10.1109\/JIOT.2018.2849655","volume":"5","author":"J Yang","year":"2018","unstructured":"Yang J, Zou H, Jiang H, Xie L (2018) Device-free occupant activity sensing using wifi-enabled IOT devices for smart homes. IEEE Internet Things J 5(5):3991\u20134002. https:\/\/doi.org\/10.1109\/JIOT.2018.2849655","journal-title":"IEEE Internet Things J"},{"issue":"6","key":"10812_CR75","doi-asserted-by":"publisher","first-page":"10763","DOI":"10.1109\/JIOT.2019.2941527","volume":"6","author":"J Yang","year":"2019","unstructured":"Yang J, Zou H, Zhou Y, Xie L (2019) Learning gestures from wifi: a siamese recurrent convolutional architecture. IEEE Internet Things J 6(6):10763\u201310772. https:\/\/doi.org\/10.1109\/JIOT.2019.2941527","journal-title":"IEEE Internet Things J"},{"key":"10812_CR76","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1109\/JRFID.2022.3140256","volume":"6","author":"C Yang","year":"2022","unstructured":"Yang C, Wang L, Wang X, Mao S (2022) Environment adaptive RFID-based 3d human pose tracking with a meta-learning approach. IEEE J Radio Freq Identif 6:413\u2013425. https:\/\/doi.org\/10.1109\/JRFID.2022.3140256","journal-title":"IEEE J Radio Freq Identif"},{"key":"10812_CR77","doi-asserted-by":"publisher","unstructured":"Yang J, Zhou Y, Huang H, Zou H, Xie L (2022) Metafi: Device-free pose estimation via commodity wifi for metaverse avatar simulation. In: 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), pp. 1\u20136. https:\/\/doi.org\/10.1109\/WF-IoT54382.2022.10152057","DOI":"10.1109\/WF-IoT54382.2022.10152057"},{"issue":"8","key":"10812_CR78","doi-asserted-by":"publisher","first-page":"7416","DOI":"10.1109\/JIOT.2022.3228820","volume":"10","author":"J Yang","year":"2023","unstructured":"Yang J, Chen X, Zou H, Wang D, Xie L (2023) Autofi: toward automatic Wi-Fi human sensing via geometric self-supervised learning. IEEE Internet Things J 10(8):7416\u20137425. https:\/\/doi.org\/10.1109\/JIOT.2022.3228820","journal-title":"IEEE Internet Things J"},{"key":"10812_CR79","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3221902","author":"G Yin","year":"2022","unstructured":"Yin G, Zhang J, Shen G, Chen Y (2022) Fewsense, towards a scalable and cross-domain wi-fi sensing system using few-shot learning. IEEE Trans Mobile Comput. https:\/\/doi.org\/10.1109\/TMC.2022.3221902","journal-title":"IEEE Trans Mobile Comput"},{"key":"10812_CR80","doi-asserted-by":"publisher","unstructured":"Yu C, Zhang D, Xie C, Lu Z, Hu Y, Li H, Sun Q, Chen Y (2022) Wifi-based human pose image generation. In: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), pp. 1\u20136. https:\/\/doi.org\/10.1109\/MMSP55362.2022.9949562","DOI":"10.1109\/MMSP55362.2022.9949562"},{"issue":"1","key":"10812_CR81","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/MPRV.2020.3041024","volume":"20","author":"Y Zeng","year":"2021","unstructured":"Zeng Y, Wu D, Xiong J, Zhang D (2021) Boosting wifi sensing performance via CSI ratio. IEEE Pervasive Comput 20(1):62\u201370. https:\/\/doi.org\/10.1109\/MPRV.2020.3041024","journal-title":"IEEE Pervasive Comput"},{"key":"10812_CR82","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2022.3216419","volume":"71","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Liu Q, Wang Y, Yu G (2022) CSI-based location-independent human activity recognition using feature fusion. IEEE Trans Instrum Meas 71:1\u201312. https:\/\/doi.org\/10.1109\/TIM.2022.3216419","journal-title":"IEEE Trans Instrum Meas"},{"issue":"11","key":"10812_CR83","doi-asserted-by":"publisher","first-page":"8671","DOI":"10.1109\/TPAMI.2021.3105387","volume":"44","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Zheng Y, Qian K, Zhang G, Liu Y, Wu C, Yang Z (2022) Widar3.0: zero-effort cross-domain gesture recognition with Wi-Fi. IEEE Trans Pattern Anal Mach Intell 44(11):8671\u20138688. https:\/\/doi.org\/10.1109\/TPAMI.2021.3105387","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"10812_CR84","doi-asserted-by":"publisher","first-page":"4139","DOI":"10.1109\/JIOT.2021.3103073","volume":"9","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Chen Y, Wang Y, Liu Q, Cheng A (2022) CSI-based human activity recognition with graph few-shot learning. IEEE Internet Things J 9(6):4139\u20134151. https:\/\/doi.org\/10.1109\/JIOT.2021.3103073","journal-title":"IEEE Internet Things J"},{"issue":"3","key":"10812_CR85","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1145\/3550306","volume":"6","author":"J Zhang","year":"2022","unstructured":"Zhang J, Chen Z, Luo C, Wei B, Kanhere SS, Li J (2022) Metaganfi: cross-domain unseen individual identification using wifi signals. Proc ACM Interact Mob Wearable Ubiquitous Technol 6(3):152\u2013172. https:\/\/doi.org\/10.1145\/3550306","journal-title":"Proc ACM Interact Mob Wearable Ubiquitous Technol"},{"issue":"7","key":"10812_CR86","doi-asserted-by":"publisher","first-page":"2411","DOI":"10.1109\/TMC.2020.3041756","volume":"21","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Wang X, Wang Y, Chen H (2022) Human activity recognition across scenes and categories based on CSI. IEEE Trans Mob Comput 21(7):2411\u20132420. https:\/\/doi.org\/10.1109\/TMC.2020.3041756","journal-title":"IEEE Trans Mob Comput"},{"issue":"11","key":"10812_CR87","doi-asserted-by":"publisher","first-page":"8584","DOI":"10.1109\/JIOT.2021.3114309","volume":"9","author":"X Zhang","year":"2022","unstructured":"Zhang X, Tang C, Yin K, Ni Q (2022) Wifi-based cross-domain gesture recognition via modified prototypical networks. IEEE Internet Things J 9(11):8584\u20138596. https:\/\/doi.org\/10.1109\/JIOT.2021.3114309","journal-title":"IEEE Internet Things J"},{"issue":"8","key":"10812_CR88","doi-asserted-by":"publisher","first-page":"5253","DOI":"10.1109\/TWC.2022.3232858","volume":"22","author":"L Zhang","year":"2023","unstructured":"Zhang L, Wu S, Zhang T, Zhang Q (2023) Learning to locate: adaptive fingerprint-based localization with few-shot relation learning in dynamic indoor environments. IEEE Trans Wireless Commun 22(8):5253\u20135264. https:\/\/doi.org\/10.1109\/TWC.2022.3232858","journal-title":"IEEE Trans Wireless Commun"},{"issue":"23","key":"10812_CR89","doi-asserted-by":"publisher","first-page":"20914","DOI":"10.1109\/JIOT.2023.3284407","volume":"10","author":"L Zheng","year":"2023","unstructured":"Zheng L, Bi S, Wang S, Quan Z, Li X, Lin X, Wang H (2023) Resmon: domain-adaptive wireless respiration state monitoring via few-shot Bayesian deep learning. IEEE Internet Things J 10(23):20914\u201320927. https:\/\/doi.org\/10.1109\/JIOT.2023.3284407","journal-title":"IEEE Internet Things J"},{"key":"10812_CR90","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2022.108806","volume":"212","author":"Q Zhou","year":"2022","unstructured":"Zhou Q, Yang Q, Xing J (2022) Enabling efficient wifi-based occupant behavior recognition using insufficient samples. Build Environ 212:108806. https:\/\/doi.org\/10.1016\/j.buildenv.2022.108806","journal-title":"Build Environ"},{"issue":"20","key":"10812_CR91","doi-asserted-by":"publisher","first-page":"19750","DOI":"10.1109\/JSEN.2022.3204607","volume":"22","author":"Y Zhou","year":"2022","unstructured":"Zhou Y, Zhu A, Xu C, Hu F, Li Y (2022) Perunet: deep signal channel attention in UNET for Wifi-based human pose estimation. IEEE Sens J 22(20):19750\u201319760. https:\/\/doi.org\/10.1109\/JSEN.2022.3204607","journal-title":"IEEE Sens J"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-024-10812-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10462-024-10812-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-024-10812-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T05:08:38Z","timestamp":1723871318000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10462-024-10812-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,5]]},"references-count":91,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["10812"],"URL":"https:\/\/doi.org\/10.1007\/s10462-024-10812-4","relation":{},"ISSN":["1573-7462"],"issn-type":[{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,5]]},"assertion":[{"value":"28 May 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 July 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"195"}}