{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:12:18Z","timestamp":1743091938721,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031593727"},{"type":"electronic","value":"9783031593734"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-59373-4_7","type":"book-chapter","created":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T14:01:59Z","timestamp":1715349719000},"page":"77-88","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Selection of\u00a0Rapid Classifier Development Methodology Used to\u00a0Implement a\u00a0Screening Study Based on\u00a0Children\u2019s Behavior During School Lessons"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5307-0067","authenticated-orcid":false,"given":"Grzegorz","family":"Dziczkowski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9463-5562","authenticated-orcid":false,"given":"Tomasz","family":"Jach","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5122-2645","authenticated-orcid":false,"given":"Barbara","family":"Probierz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1229-327X","authenticated-orcid":false,"given":"Piotr","family":"Stefanski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2128-6998","authenticated-orcid":false,"given":"Jan","family":"Kozak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,11]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Bi, X., Chen, Z., Yue, J.: A Novel one-step method based on YOLOv3-tiny for fatigue driving detection. In: 2020 IEEE 6th International Conference on Computer and Communications (ICCC), pp. 1241\u20131245. IEEE (2020)","DOI":"10.1109\/ICCC51575.2020.9345278"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Bodla, N., Zheng, J., Xu, H., Chen, J.C., Castillo, C., Chellappa, R.: Deep heterogeneous feature fusion for template-based face recognition. In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 586\u2013595. IEEE (2017)","DOI":"10.1109\/WACV.2017.71"},{"issue":"20","key":"7_CR3","doi-asserted-by":"publisher","first-page":"8385","DOI":"10.3390\/s23208385","volume":"23","author":"H Chen","year":"2023","unstructured":"Chen, H., Zhou, G., Jiang, H.: Student behavior detection in the classroom based on improved YOLOv8. Sensors 23(20), 8385 (2023)","journal-title":"Sensors"},{"issue":"2","key":"7_CR4","doi-asserted-by":"publisher","first-page":"229","DOI":"10.54097\/ijeh.v5i2.2146","volume":"5","author":"Y Cheng","year":"2022","unstructured":"Cheng, Y.: Video-based student classroom classroom behavior state analysis. Int. J. Educ. Humanit. 5(2), 229\u2013233 (2022)","journal-title":"Int. J. Educ. Humanit."},{"key":"7_CR5","doi-asserted-by":"publisher","first-page":"108049","DOI":"10.1109\/ACCESS.2019.2933060","volume":"7","author":"J Cowton","year":"2019","unstructured":"Cowton, J., Kyriazakis, I., Bacardit, J.: Automated individual pig localisation, tracking and behaviour metric extraction using deep learning. IEEE Access 7, 108049\u2013108060 (2019)","journal-title":"IEEE Access"},{"issue":"2","key":"7_CR6","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s13748-019-00203-0","volume":"9","author":"A Dhillon","year":"2020","unstructured":"Dhillon, A., Verma, G.K.: Convolutional neural network: a review of models, methodologies and applications to object detection. Prog. Artif. Intell. 9(2), 85\u2013112 (2020)","journal-title":"Prog. Artif. Intell."},{"key":"7_CR7","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/978-981-10-8971-8_12","volume-title":"Smart Innovations in Communication and Computational Sciences","author":"J Feng","year":"2019","unstructured":"Feng, J., Guo, Q., Guan, Y., Wu, M., Zhang, X., Ti, C.: 3D face recognition method based on deep convolutional neural network. In: Panigrahi, B.K., Trivedi, M.C., Mishra, K.K., Tiwari, S., Singh, P.K. (eds.) Smart Innovations in Communication and Computational Sciences. AISC, vol. 670, pp. 123\u2013130. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-10-8971-8_12"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Han, Y.K., Choi, Y.B.: Human action recognition based on LSTM model using smartphone sensor. In: 2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN), pp. 748\u2013750. IEEE (2019)","DOI":"10.1109\/ICUFN.2019.8806065"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Jiang, B., Xu, W., Guo, C., Liu, W., Cheng, W.: A classroom concentration model based on computer vision. In: Proceedings of the ACM Turing Celebration Conference-China, pp. 1\u20136 (2019)","DOI":"10.1145\/3321408.3322856"},{"issue":"5","key":"7_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11042-020-08806-9","volume":"83","author":"MA Khan","year":"2020","unstructured":"Khan, M.A., et al.: Human action recognition using fusion of multiview and deep features: an application to video surveillance. Multimedia Tools and Appl. 83(5), 1\u201327 (2020)","journal-title":"Multimedia Tools and Appl."},{"issue":"3","key":"7_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3625288","volume":"56","author":"SM La Cava","year":"2023","unstructured":"La Cava, S.M., Orr\u00f9, G., Drahansky, M., Marcialis, G.L., Roli, F.: 3D face reconstruction: the road to forensics. ACM Comput. Surv. 56(3), 1\u201338 (2023)","journal-title":"ACM Comput. Surv."},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.sigpro.2017.10.024","volume":"144","author":"Z Lu","year":"2018","unstructured":"Lu, Z., Jiang, X., Kot, A.: Feature fusion with covariance matrix regularization in face recognition. Signal Process. 144, 296\u2013305 (2018)","journal-title":"Signal Process."},{"key":"7_CR14","unstructured":"Mandal, B., Okeukwu, A., Theis, Y.: Masked face recognition using resnet-50. arXiv preprint arXiv:2104.08997 (2021)"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"1027","DOI":"10.1007\/s11760-020-01635-1","volume":"14","author":"AA Moustafa","year":"2020","unstructured":"Moustafa, A.A., Elnakib, A., Areed, N.F.: Age-invariant face recognition based on deep features analysis. SIViP 14, 1027\u20131034 (2020)","journal-title":"SIViP"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"7_CR17","first-page":"1","volume":"2021","author":"H Ren","year":"2021","unstructured":"Ren, H., et al.: A real-time and long-term face tracking method using convolutional neural network and optical flow in IoT-based multimedia communication systems. Wirel. Commun. Mob. Comput. 2021, 1\u201315 (2021)","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: FaceNet: A unified embedding for face recognition and clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 815\u2013823 (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"7_CR19","doi-asserted-by":"publisher","first-page":"139489","DOI":"10.1109\/ACCESS.2021.3118541","volume":"9","author":"V Sharma","year":"2021","unstructured":"Sharma, V., Gupta, M., Kumar, A., Mishra, D.: Video processing using deep learning techniques: a systematic literature review. IEEE Access 9, 139489\u2013139507 (2021)","journal-title":"IEEE Access"},{"key":"7_CR20","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1007\/978-3-030-17795-9_33","volume-title":"Advances in Computer Vision","author":"F Simanjuntak","year":"2020","unstructured":"Simanjuntak, F., Azzopardi, G.: Fusion of CNN- and COSFIRE-based features with application to gender recognition from face images. In: Arai, K., Kapoor, S. (eds.) CVC 2019. AISC, vol. 943, pp. 444\u2013458. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-17795-9_33"},{"issue":"4","key":"7_CR21","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1049\/iet-bmt.2015.0057","volume":"5","author":"MO Sim\u00f3n","year":"2016","unstructured":"Sim\u00f3n, M.O., et al.: Improved RGB-D-T based face recognition. Iet Biometrics 5(4), 297\u2013303 (2016)","journal-title":"Iet Biometrics"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Sun, Z., Ke, Q., Rahmani, H., Bennamoun, M., Wang, G., Liu, J.: Human action recognition from various data modalities: a review. IEEE Trans. Pattern Anal. Mach. Intell. 45(3), 3200\u20133225 (2022)","DOI":"10.1109\/TPAMI.2022.3183112"},{"key":"7_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2020.102809","volume":"106","author":"M Taskiran","year":"2020","unstructured":"Taskiran, M., Kahraman, N., Erdem, C.E.: Face recognition: past, present and future (a review). Digital Signal Proc. 106, 102809 (2020)","journal-title":"Digital Signal Proc."},{"key":"7_CR24","unstructured":"Tian, W., et al.: Learning better features for face detection with feature fusion and segmentation supervision. arXiv preprint arXiv:1811.08557 (2018)"},{"key":"7_CR25","doi-asserted-by":"publisher","unstructured":"Verma, Kamal Kant, Singh, Brij Mohan, Dixit, Amit: A review of supervised and unsupervised machine learning techniques for suspicious behavior recognition in intelligent surveillance system. Int. J. Inf. Technol. 1\u201314 (2019). https:\/\/doi.org\/10.1007\/s41870-019-00364-0","DOI":"10.1007\/s41870-019-00364-0"},{"key":"7_CR26","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Alzubaidi, L., Zhang, J., Duan, Y., Gu, Y.: A comparison review of transfer learning and self-supervised learning: definitions, applications, advantages and limitations. Expert Syst. Appl. 122807 (2023)","DOI":"10.1016\/j.eswa.2023.122807"},{"issue":"21","key":"7_CR27","doi-asserted-by":"publisher","first-page":"7834","DOI":"10.3390\/app10217834","volume":"10","author":"H Zhu","year":"2020","unstructured":"Zhu, H., Wei, H., Li, B., Yuan, X., Kehtarnavaz, N.: A review of video object detection: datasets, metrics and methods. Appl. Sci. 10(21), 7834 (2020)","journal-title":"Appl. Sci."}],"container-title":["Lecture Notes in Business Information Processing","Human-Centric Decision and Negotiation Support for Societal Transitions"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-59373-4_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T14:02:58Z","timestamp":1715349778000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-59373-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031593727","9783031593734"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-59373-4_7","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"11 May 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"GDN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Group Decision and Negotiation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Porto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"gdn2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/gdnicdsst2024.fe.up.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}