{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T19:16:57Z","timestamp":1774120617481,"version":"3.50.1"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T00:00:00Z","timestamp":1646352000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T00:00:00Z","timestamp":1646352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s00521-022-07085-9","type":"journal-article","created":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T17:12:04Z","timestamp":1646413924000},"page":"10189-10203","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Device-free cross location activity recognition via semi-supervised deep learning"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7955-9418","authenticated-orcid":false,"given":"Rui","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyuan","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bao","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,4]]},"reference":[{"key":"7085_CR1","doi-asserted-by":"crossref","unstructured":"Arshad S, Feng C, Liu Y, Hu Y, Yu R, Zhou S, Li H (2017) Wi-Chase: a WiFi based human activity recognition system for sensorless environments. In: WoWMoM\u20192017, pp. 1\u20136","DOI":"10.1109\/WoWMoM.2017.7974315"},{"key":"7085_CR2","doi-asserted-by":"crossref","unstructured":"Chang JY, Lee KY, Wei YL, Lin KCJ, Hsu W (2016) Location-independent WiFi action recognition via vision-based methods. In: MM\u20192016, pp. 162\u2013166. ACM","DOI":"10.1109\/ICASSP.2016.7472184"},{"key":"7085_CR3","doi-asserted-by":"crossref","unstructured":"Chen X, Li H, Zhou C, Liu X, Wu D, Dudek G (2020) FiDo: Ubiquitous fine-grained WiFi-based localization for unlabelled users via domain adaptation. In: Proceedings of the Web Conference 2020, WWW\u201920, pp. 23\u201333","DOI":"10.1145\/3366423.3380091"},{"issue":"11","key":"7085_CR4","doi-asserted-by":"publisher","first-page":"2714","DOI":"10.1109\/TMC.2018.2878233","volume":"18","author":"Z Chen","year":"2019","unstructured":"Chen Z, Zhang L, Jiang C, Cao Z, Cui W (2019) WiFi CSI based passive human activity recognition using attention based BLSTM. IEEE Trans Mob Comput 18(11):2714\u20132724","journal-title":"IEEE Trans Mob Comput"},{"key":"7085_CR5","doi-asserted-by":"crossref","unstructured":"Feng C, Arshad S, Liu Y (2017) MAIS: Multiple activity identification system using channel state information of WiFi signals. In: International Conference on Wireless Algorithms, Systems, and Applications, pp. 419\u2013432","DOI":"10.1007\/978-3-319-60033-8_37"},{"issue":"11","key":"7085_CR6","doi-asserted-by":"publisher","first-page":"10346","DOI":"10.1109\/TVT.2017.2737553","volume":"66","author":"Q Gao","year":"2017","unstructured":"Gao Q, Wang J, Ma X, Feng X, Wang H (2017) CSI-based device-free wireless localization and activity recognition using radio image features. IEEE Trans Veh Technol 66(11):10346\u201310356","journal-title":"IEEE Trans Veh Technol"},{"key":"7085_CR7","doi-asserted-by":"crossref","unstructured":"Gkioxari G, Girshick R, Dollar P, He K (2018) Detecting and recognizing human-object interactions. In: CVPR\u20192018, pp. 8359\u20138367","DOI":"10.1109\/CVPR.2018.00872"},{"key":"7085_CR8","doi-asserted-by":"crossref","unstructured":"Golyandina N, Nekrutkin V, Zhigljavsky A (2001) Analysis of time series structure: SSA and related techniques. Monographs on Statistics and Applied Probability 90","DOI":"10.1201\/9781420035841"},{"key":"7085_CR9","doi-asserted-by":"crossref","unstructured":"Guan Y, Pl\u00f6tz T (2017) Ensembles of deep LSTM learners for activity recognition using wearables. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 1(2)","DOI":"10.1145\/3090076"},{"key":"7085_CR10","doi-asserted-by":"crossref","unstructured":"Halperin D, Hu W, Sheth A, Wetherall D (2010) Predictable 802.11 packet delivery from wireless channel measurements. In: SIGCOMM\u20192010, pp. 159\u2013170. ACM","DOI":"10.1145\/1851275.1851203"},{"key":"7085_CR11","doi-asserted-by":"crossref","unstructured":"Jiang W, Miao C, Ma F, Yao S, Wang Y, Yuan Y, Xue H, Song C, Ma X, Koutsonikolas D, Xu W, Su L (2018) Towards environment independent device free human activity recognition. In: MobiCom\u20192018, pp. 289\u2013304. ACM","DOI":"10.1145\/3241539.3241548"},{"key":"7085_CR12","doi-asserted-by":"crossref","unstructured":"Khan MI, Jan MA, Muhammad Y, Do DT, ur Rehman A, Mavromoustakis CX, Pallis E (2021) Tracking vital signs of a patient using channel state information and machine learning for a smart healthcare system. Neural Computing and Applications","DOI":"10.1007\/s00521-020-05631-x"},{"key":"7085_CR13","doi-asserted-by":"crossref","unstructured":"Li H, Yang W, Wang J, Xu Y, Huang L (2016) WiFinger: Talk to your smart devices with finger-grained gesture. In: UbiComp\u20192016, pp. 250\u2013261. ACM","DOI":"10.1145\/2971648.2971738"},{"issue":"3","key":"7085_CR14","doi-asserted-by":"publisher","first-page":"1629","DOI":"10.1109\/COMST.2019.2934489","volume":"22","author":"J Liu","year":"2020","unstructured":"Liu J, Liu H, Chen Y, Wang Y, Wang C (2020) Wireless sensing for human activity: a survey. IEEE Commun Surv Tutor 22(3):1629\u20131645","journal-title":"IEEE Commun Surv Tutor"},{"issue":"10","key":"7085_CR15","doi-asserted-by":"publisher","first-page":"2466","DOI":"10.1109\/TMC.2015.2504935","volume":"15","author":"X Liu","year":"2016","unstructured":"Liu X, Cao J, Tang S, Wen J, Guo P (2016) Contactless respiration monitoring via off-the-shelf WiFi devices. IEEE Trans Mob Comput 15(10):2466\u20132479","journal-title":"IEEE Trans Mob Comput"},{"issue":"3","key":"7085_CR16","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 52(3):1\u201336","journal-title":"ACM Comput Surv"},{"issue":"2","key":"7085_CR17","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1109\/JERM.2019.2893587","volume":"3","author":"P Markopoulos","year":"2019","unstructured":"Markopoulos P, Zlotnikov S, Ahmad F (2019) Adaptive radar-based human activity recognition with L1-norm linear discriminant analysis. IEEE J Electromagn RF Microw Med Biol 3(2):120\u2013126","journal-title":"IEEE J Electromagn RF Microw Med Biol"},{"key":"7085_CR18","doi-asserted-by":"crossref","unstructured":"Orphomma S, Swangmuang N (2013) Exploiting the wireless RF fading for human activity recognition. In: 10th International Conference on Electrical Engineering\/Electronics, Computer, Telecommunications and Information Technology, pp. 1\u20135","DOI":"10.1109\/ECTICon.2013.6559521"},{"key":"7085_CR19","unstructured":"Qi F, Li Z, Liang F, Lv H, An Q, Wang J (2016) A novel time-frequency analysis method based on HHT for finer-grained human activity using SFCW radar. In: 2016 Progress in Electromagnetic Research Symposium (PIERS), pp. 2536\u20132539"},{"key":"7085_CR20","doi-asserted-by":"crossref","unstructured":"Shang J, Wu J (2016) Fine-grained vital signs estimation using commercial Wi-Fi devices. In: 8th Wireless of the Students, by the Students, and for the Students Workshop, pp. 30\u201332. ACM","DOI":"10.1145\/2987354.2987360"},{"key":"7085_CR21","doi-asserted-by":"crossref","unstructured":"Shen S, Wang H, Roy Choudhury R (2016) I am a smartwatch and I can track my user\u2019s arm. In: Mobisys\u20192016, pp. 85\u201396","DOI":"10.1145\/2906388.2906407"},{"issue":"4","key":"7085_CR22","doi-asserted-by":"publisher","first-page":"3592","DOI":"10.1109\/JIOT.2020.2973272","volume":"7","author":"B Sheng","year":"2020","unstructured":"Sheng B, Xiao F, Sha L, Sun L (2020) Deep spatial-temporal model based cross-scene action recognition using commodity WiFi. IEEE Internet Things J 7(4):3592\u20133601","journal-title":"IEEE Internet Things J"},{"key":"7085_CR23","doi-asserted-by":"crossref","unstructured":"Sigg S, Shi S, Ji Y (2013) RF-based device-free recognition of simultaneously conducted activities. In: UbiComp\u201913 Adjunct, pp. 531\u2013540. ACM","DOI":"10.1145\/2494091.2497611"},{"issue":"2","key":"7085_CR24","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1109\/JIOT.2018.2871445","volume":"6","author":"F Wang","year":"2019","unstructured":"Wang F, Gong W, Liu J (2019) On spatial diversity in WiFi-based human activity recognition: a deep learning-based approach. IEEE Internet Things J 6(2):2035\u20132047","journal-title":"IEEE Internet Things J"},{"key":"7085_CR25","doi-asserted-by":"publisher","first-page":"2907","DOI":"10.1109\/TMC.2016.2517630","volume":"15","author":"G Wang","year":"2016","unstructured":"Wang G, Zou Y, Zhou Z, Wu K, Ni L (2016) We can hear you with Wi-Fi! IEEE Trans Mob Comput 15:2907\u20132920","journal-title":"IEEE Trans Mob Comput"},{"key":"7085_CR26","doi-asserted-by":"crossref","unstructured":"Wang H, Zhang D, Ma J, Wang Y, Wang Y, Wu D, Gu T, Xie B (2016) Human respiration detection with commodity wifi devices: Do user location and body orientation matter? In: UbiComp\u20192016, pp. 25\u201336. ACM","DOI":"10.1145\/2971648.2971744"},{"issue":"2","key":"7085_CR27","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1109\/TMC.2016.2557795","volume":"16","author":"H Wang","year":"2017","unstructured":"Wang H, Zhang D, Wang Y, Ma J, Wang Y, Li S (2017) RT-Fall: a real-time and contactless fall detection system with commodity WiFi devices. IEEE Trans Mob Comput 16(2):511\u2013526","journal-title":"IEEE Trans Mob Comput"},{"issue":"7","key":"7085_CR28","doi-asserted-by":"publisher","first-page":"6258","DOI":"10.1109\/TVT.2016.2635161","volume":"66","author":"J Wang","year":"2017","unstructured":"Wang J, Zhang X, Gao Q, Yue H, Wang H (2017) Device-free wireless localization and activity recognition: a deep learning approach. IEEE Trans Veh Technol 66(7):6258\u20136267","journal-title":"IEEE Trans Veh Technol"},{"key":"7085_CR29","doi-asserted-by":"crossref","unstructured":"Wang M, Ni B, Yang X (2017) Recurrent modeling of interaction context for collective activity recognition. In: CVPR\u20192017, pp. 7408\u20137416","DOI":"10.1109\/CVPR.2017.783"},{"key":"7085_CR30","doi-asserted-by":"crossref","unstructured":"Wang W, Liu AX, Shahzad M, Ling K, Lu S (2015) Understanding and modeling of WiFi signal based human activity recognition. In: MobiCom\u20192015, pp. 65\u201376. ACM","DOI":"10.1145\/2789168.2790093"},{"issue":"5","key":"7085_CR31","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1109\/JSAC.2017.2679658","volume":"35","author":"W Wang","year":"2017","unstructured":"Wang W, Liu AX, Shahzad M, Ling K, Lu S (2017) Device-free human activity recognition using commercial WiFi devices. IEEE J Sel Areas Commun 35(5):1118\u20131131","journal-title":"IEEE J Sel Areas Commun"},{"key":"7085_CR32","doi-asserted-by":"crossref","unstructured":"Wang X, Yang C, Mao S (2017) PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices. In: ICDCS\u20192017, pp. 1230\u20131239","DOI":"10.1109\/ICDCS.2017.206"},{"key":"7085_CR33","doi-asserted-by":"crossref","unstructured":"Wang X, Yang C, Mao S (2017) TensorBeat: Tensor decomposition for monitoring multi-person breathing beats with commodity WiFi. ACM Trans Intell Syst Technol. Vol. 9","DOI":"10.1145\/3078855"},{"issue":"1","key":"7085_CR34","first-page":"1","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. Proc ACM Interact Mobile Wearable Ubiquitous Technol IMWUT 4(1):1\u201327","journal-title":"Proc ACM Interact Mobile Wearable Ubiquitous Technol IMWUT"},{"issue":"6","key":"7085_CR35","doi-asserted-by":"publisher","first-page":"10191","DOI":"10.1109\/JIOT.2019.2936580","volume":"6","author":"C Xiao","year":"2019","unstructured":"Xiao C, Han D, Ma Y, Qin Z (2019) CsiGAN: robust channel state information-based activity recognition with GANs. IEEE Internet Things J 6(6):10191\u201310204","journal-title":"IEEE Internet Things J"},{"issue":"1","key":"7085_CR36","first-page":"1","volume":"3","author":"F Zhang","year":"2019","unstructured":"Zhang F, Niu K, Xiong J, Jin B, Gu T, Jiang Y, Zhang D (2019) Towards a diffraction-based sensing approach on human activity recognition. Proc ACM Interact Mobile Wearable Ubiquitous Technol IMWUT 3(1):1\u201325","journal-title":"Proc ACM Interact Mobile Wearable Ubiquitous Technol IMWUT"},{"key":"7085_CR37","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1145\/3236621","volume":"61","author":"M Zhao","year":"2018","unstructured":"Zhao M, Adib F, Katabi D (2018) Emotion recognition using wireless signals. Commun ACM 61:91\u2013100","journal-title":"Commun ACM"},{"key":"7085_CR38","doi-asserted-by":"crossref","unstructured":"Zheng Y, Zhang Y, Qian K, Zhang G, Liu Y, Wu C, Yang Z (2019) Zero-effort cross-domain gesture recognition with Wi-Fi. In: MobiSys\u20192019, pp. 313\u2013325. ACM","DOI":"10.1145\/3307334.3326081"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07085-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07085-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07085-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T06:16:35Z","timestamp":1652681795000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07085-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,4]]},"references-count":38,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["7085"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07085-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,4]]},"assertion":[{"value":"3 November 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 February 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 March 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"No conflict of interest exists in the submission.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The manuscript is approved by all the co-authors for publication in this journal.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}