{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:48:05Z","timestamp":1742917685975,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811681738"},{"type":"electronic","value":"9789811681745"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-16-8174-5_11","type":"book-chapter","created":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T13:03:12Z","timestamp":1638450192000},"page":"136-149","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["UACHR: Accurate CSI-Based Human Behavior Recognition Using Gaussian Goodness"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1371-6385","authenticated-orcid":false,"given":"Ying","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6151-9303","authenticated-orcid":false,"given":"Lu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8390-443X","authenticated-orcid":false,"given":"Guoqing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6049-4813","authenticated-orcid":false,"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9005-1762","authenticated-orcid":false,"given":"Shenghua","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6743-3482","authenticated-orcid":false,"given":"Zhiyong","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,1]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"153287","DOI":"10.1109\/ACCESS.2019.2948102","volume":"7","author":"H Li","year":"2019","unstructured":"Li, H., He, X., Chen, X., Fang, Y., Fang, Q.: Wi-motion: a robust human activity recognition using WiFi signals. IEEE Access 7, 153287\u2013153299 (2019)","journal-title":"IEEE Access"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Shang, J., Wu, J.: A robust sign language recognition system with multiple Wi-Fi devices. In: IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), pp.19\u201324 (2017)","DOI":"10.1145\/3097620.3097624"},{"issue":"5","key":"11_CR3","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1109\/JSAC.2017.2679658","volume":"35","author":"W Wang","year":"2017","unstructured":"Wang, W., Liu, A.X., Shahzad, M., Ling, K., Lu, S.: Device-free human activity recognition using commercial WiFi devices. IEEE J. Sel. Areas Commun. 35(5), 1118\u20131131 (2017)","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"02","key":"11_CR4","first-page":"220","volume":"42","author":"Y Ran","year":"2020","unstructured":"Ran, Y., Yu, J., Chang, J., Li, X.: A method of fall detection based on CSI. J. Yunnan Univ. (Nat. Sci. Edn.) 42(02), 220\u2013227 (2020)","journal-title":"J. Yunnan Univ. (Nat. Sci. Edn.)"},{"issue":"11","key":"11_CR5","first-page":"1688","volume":"32","author":"A Guo","year":"2019","unstructured":"Guo, A., Xu, Z., Chen, L.: A human action recognition method based on WiFi channel state information. Chin. J. Sens. Actuat. 32(11), 1688\u20131693 (2019)","journal-title":"Chin. J. Sens. Actuat."},{"issue":"10","key":"11_CR6","first-page":"23","volume":"19","author":"T Wang","year":"2019","unstructured":"Wang, T., Yang, D., Zhang, S., Wu, Y., Xu, S.: Wi-alarm: low-cost passive intrusion detection using Wi-Fi. Sensors 19(10), 23\u201335 (2019)","journal-title":"Sensors"},{"key":"11_CR7","unstructured":"Xiao, F., Chen, J., Xie, X., Gui, L., Sun, L., Wang, R.: SEARE: a system for exercise activity recognition and quality evaluation based on green sensing. IEEE Trans. Emerg. Top. Comput. 1\u201310 (2018)"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Nirjon, S., Gummeson, J., Gelb, D., Kim, K.H.: TypingRing: a wearable ring platform for text input. In: 13th Annual International Conference on Mobile Systems, Applications, and Services (2015)","DOI":"10.1145\/2742647.2742665"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Xu, C., Pathak, P.H., Mohapatra, P.: Finger-writing with smartwatch: a case for finger and hand gesture recognition using smartwatch. In: 16th International Workshop on Mobile Computing Systems and Applications, pp.9\u201314 (2015)","DOI":"10.1145\/2699343.2699350"},{"issue":"6","key":"11_CR10","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1109\/MIM.2017.8121952","volume":"20","author":"F Harrou","year":"2017","unstructured":"Harrou, F., Zerrouki, N., Sun, Y., Houacine, A.: Vision-based fall detection system for improving safety of elderly people. IEEE Instrum. Meas. Mag. 20(6), 49\u201355 (2017)","journal-title":"IEEE Instrum. Meas. Mag."},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Martin, M., Popp, J., Anneken, M., Voit, M., Stiefelhagen, R.: Body pose and context information for driver secondary task detection. In: 29th IEEE Intelligent Vehicles Symposium (IV), pp.2015\u20132021 (2018)","DOI":"10.1109\/IVS.2018.8500523"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Pu, Q., Gupta, S., Gollakota, S., Patel, S.: Whole-home gesture recognition using wireless signals. In: the 19th Annual International Conference on Mobile Computing and Networking, pp.27\u201338 (2013)","DOI":"10.1145\/2500423.2500436"},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Adib, F., Katabi, D.: See through walls with Wi-Fi! In: ACM Conference Special Interest Group Data Communication, pp.75\u201386 (2013)","DOI":"10.1145\/2534169.2486039"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Abdelnasser, H., Youssef, M., Harras, K.A.: WiGest: a ubiquitous WiFi-based gesture recognition system. In: 2015 IEEE Conference on Computer Communications (INFOCOM), pp.1472\u20131480 (2015)","DOI":"10.1109\/INFOCOM.2015.7218525"},{"key":"11_CR15","unstructured":"Haseeb, M.A.A., Parasuraman, R.: Wisture: RNN-based learning of wireless signals for gesture recognition in unmodified smartphones. arXiv:1707.08569 (2017)"},{"key":"11_CR16","unstructured":"Xu, J.: Further research on fatigue statistics intelligence. Acta Aeronaut. Astronaut. Sinica 1\u201312 (2021)"},{"key":"11_CR17","volume-title":"Introduction to Machine Learning to Actual Combat: Practical Application of MATLAB","author":"Y Leng","year":"2019","unstructured":"Leng, Y., Zhang, H., Zhang, W.: Introduction to Machine Learning to Actual Combat: Practical Application of MATLAB. Tsinghua University Press, Beijing (2019)"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Melgarejo, P., Zhang, X., Ramanathan, P., Chu, D.: Leveraging directional antenna capabilities for fine-grained gesture recognition. In: 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.13\u201317 (2014)","DOI":"10.1145\/2632048.2632095"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"He, W., Wu, K., Zou, Y., Ming, Z.: WiG: WiFi-based gesture recognition system. In: International Conference on Computer Communication & Networks, pp.1\u20137 (2015)","DOI":"10.1109\/ICCCN.2015.7288485"}],"container-title":["Communications in Computer and Information Science","Wireless Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-8174-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T13:21:59Z","timestamp":1638451319000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-8174-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811681738","9789811681745"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-8174-5_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"1 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CWSN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China Conference on Wireless Sensor Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guilin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cwsn2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.ccf.org.cn\/web\/html5\/index.html?globalId=m8310963194006118401618190403568&type=1","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference website","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}