{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T16:21:22Z","timestamp":1783614082555,"version":"3.55.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031357404","type":"print"},{"value":"9783031357411","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-35741-1_44","type":"book-chapter","created":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T06:02:10Z","timestamp":1689055330000},"page":"632-641","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["An AI-Based Action Detection UAV System to Improve Firefighter Safety"],"prefix":"10.1007","author":[{"given":"Hong","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbin","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"key":"44_CR1","unstructured":"Seraj, E., Silva, A., Gombolay, M.: Safe Coordination of Human-Robot Firefighting Teams (2019). https:\/\/arxiv.org\/abs\/1903.06847"},{"key":"44_CR2","unstructured":"Hall, S., Evarts, B.: Fire loss in the United States during 2021. National Fire Protection Association (2022)"},{"key":"44_CR3","unstructured":"NOAA National Centers for Environmental Information, Monthly Wildfires Report for Annual 2022, published online January 2023. https:\/\/www.ncei.noaa.gov\/access\/monitoring\/monthly-report\/fire\/202213. Accessed 10 Feb 2023"},{"key":"44_CR4","unstructured":"Den Breejen, E., et al.: Autonomous forest fire detection, pp. 2003\u20132012. ADAI-Associacao para o Desenvolvimento da Aerodinamica Industrial, Coimbra (1998)"},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Merino, L., Caballero, F., Martinez-de Dios, J.R., Ollero, A.: Cooperative fire detection using unmanned aerial vehicles. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp. 1884\u20131889. IEEE (2005)","DOI":"10.1109\/ROBOT.2005.1570388"},{"key":"44_CR6","doi-asserted-by":"crossref","unstructured":"Sujit, P.B., Kingston, D., Beard, R.: Cooperative forest fire monitoring using multiple UAVs. In: 2007 46th IEEE Conference on Decision and Control, pp. 4875\u20134880. IEEE (2007)","DOI":"10.1109\/CDC.2007.4434345"},{"key":"44_CR7","doi-asserted-by":"publisher","unstructured":"Hrabia, C.E., Hessler, A., Xu, Y., Brehmer, J., Albayrak, S.: EffFeu project: efficient operation of unmanned aerial vehicles for industrial fire fighters. In: DroNet 2018 - Proceedings of the 2018 ACM International Conference on Mobile Systems, Applications and Services, pp. 33\u201338 (2018). https:\/\/doi.org\/10.1145\/3213526.3213533","DOI":"10.1145\/3213526.3213533"},{"key":"44_CR8","doi-asserted-by":"publisher","unstructured":"Seraj, E., Gombolay, M.: Coordinated control of UAVs for human-centered active sensing of wildfires. In: Proceedings of the American Control Conference, 2020-July, pp. 1845\u20131852 (2020). https:\/\/doi.org\/10.23919\/ACC45564.2020.9147613","DOI":"10.23919\/ACC45564.2020.9147613"},{"key":"44_CR9","doi-asserted-by":"publisher","unstructured":"Luna, M.A., Refaat Ragab, A., Ale Isac, M.S., Flores Pena, P., Cervera, P.C.: A new algorithm using hybrid UAV swarm control system for firefighting dynamical task allocation. In: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 655\u2013660 (2021). https:\/\/doi.org\/10.1109\/SMC52423.2021.9659275","DOI":"10.1109\/SMC52423.2021.9659275"},{"key":"44_CR10","doi-asserted-by":"publisher","unstructured":"Yfantis, E.A.: A UAV with autonomy, pattern recognition for forest fire prevention, and AI for providing advice to firefighters fighting forest fires. In: 2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019, pp. 409\u2013413 (2019). https:\/\/doi.org\/10.1109\/CCWC.2019.8666471","DOI":"10.1109\/CCWC.2019.8666471"},{"issue":"2-4","key":"44_CR11","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/s10846-016-0464-7","volume":"88","author":"C Yuan","year":"2017","unstructured":"Yuan, C., Liu, Z., Zhang, Y.: Aerial images-based forest fire detection for firefighting using optical remote sensing techniques and unmanned aerial vehicles. J. Intell. Rob. Syst. 88(2\u20134), 635\u2013654 (2017). https:\/\/doi.org\/10.1007\/s10846-016-0464-7","journal-title":"J. Intell. Rob. Syst."},{"key":"44_CR12","doi-asserted-by":"crossref","unstructured":"Toups, Z.O., Kerne, A.: Implicit coordination in firefighting practice: design implications for teaching fire emergency responders. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 707\u2013716 (2007)","DOI":"10.1145\/1240624.1240734"},{"key":"44_CR13","unstructured":"Seraj, E., Silva, A., Gombolay, M.: Safe coordination of human-robot firefighting teams. arXiv preprint https:\/\/arxiv.org\/abs\/1903.06847 (2019)"},{"issue":"10","key":"44_CR14","first-page":"32","volume":"115","author":"D Castro","year":"2016","unstructured":"Castro, D., New, J.: The promise of artificial intelligence. Center Data Innov. 115(10), 32\u201335 (2016)","journal-title":"Center Data Innov."},{"key":"44_CR15","unstructured":"Horowitz, M.C., Allen, G.C., Saravalle, E., Cho, A., Frederick, K., Scharre, P.: Artificial intelligence and international security. Center for a New American Security (2018)"},{"key":"44_CR16","doi-asserted-by":"crossref","unstructured":"Mallouhy, R.E., Guyeux, C., Abou Jaoude, C., Makhoul, A.: Machine learning for predicting firefighters\u2019 interventions per type of mission. In: 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), vol. 1, pp. 1196\u20131200. IEEE (2022)","DOI":"10.1109\/CoDIT55151.2022.9804035"},{"key":"44_CR17","doi-asserted-by":"crossref","unstructured":"Raj, J.V., Sarath, T.V.: An IoT based real-time stress detection system for fire-fighters. In: 2019 International Conference on Intelligent Computing and Control Systems (ICCS), pp. 354\u2013360. IEEE (2019)","DOI":"10.1109\/ICCS45141.2019.9065866"},{"key":"44_CR18","first-page":"1320","volume":"22","author":"NRN Zadeh","year":"2021","unstructured":"Zadeh, N.R.N., Abdulwakil, A.H., Amar, M.J.R., Durante, B., Santos, C.V.N.R.: Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city. Indones. J. Electr. Eng. Comput. Sci 22, 1320\u20131326 (2021)","journal-title":"Indones. J. Electr. Eng. Comput. Sci"},{"key":"44_CR19","doi-asserted-by":"crossref","unstructured":"Yfantis, E.A. A UAV with autonomy, pattern recognition for forest fire prevention, and AI for providing advice to firefighters fighting forest fires. In: 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0409\u20130413. IEEE (2019)","DOI":"10.1109\/CCWC.2019.8666471"},{"key":"44_CR20","doi-asserted-by":"crossref","unstructured":"Sherstjuk, V., Zharikova, M., Sokol, I.: Forest fire-fighting monitoring system based on UAV team and remote sensing. In: 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), pp. 663\u2013668. IEEE (2018)","DOI":"10.1109\/ELNANO.2018.8477527"},{"key":"44_CR21","unstructured":"Thakur, A., Kate, O., Malhotra, T.: Design and Development of smart UAV assistance for Firefighters (2021)"},{"key":"44_CR22","doi-asserted-by":"publisher","first-page":"108309","DOI":"10.1016\/j.sigpro.2021.108309","volume":"190","author":"A Bouguettaya","year":"2022","unstructured":"Bouguettaya, A., Zarzour, H., Taberkit, A.M., Kechida, A.: A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithms. Signal Process. 190, 108309 (2022)","journal-title":"Signal Process."},{"key":"44_CR23","unstructured":"Lugaresi, C., et al.: MediaPipe: A Framework for Building Perception Pipelines (2019). http:\/\/arxiv.org\/abs\/1906.08172"}],"container-title":["Lecture Notes in Computer Science","Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35741-1_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T22:58:47Z","timestamp":1729724327000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35741-1_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031357404","9783031357411"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35741-1_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","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":"1578","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":"396","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":"21% - 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":"2","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":"2","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}