{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T20:04:35Z","timestamp":1726085075257},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030487904"},{"type":"electronic","value":"9783030487911"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-48791-1_1","type":"book-chapter","created":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T10:02:52Z","timestamp":1590573772000},"page":"3-14","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Compact Sequence Encoding Scheme for Online Human Activity Recognition in HRI Applications"],"prefix":"10.1007","author":[{"given":"Georgios","family":"Tsatiris","sequence":"first","affiliation":[]},{"given":"Kostas","family":"Karpouzis","sequence":"additional","affiliation":[]},{"given":"Stefanos","family":"Kollias","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,28]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1007\/11768029_16","volume-title":"Perception and Interactive Technologies","author":"E Bevacqua","year":"2006","unstructured":"Bevacqua, E., Raouzaiou, A., Peters, C., Caridakis, G., Karpouzis, K., Pelachaud, C., Mancini, M.: Multimodal sensing, interpretation and copying of movements by a virtual agent. In: Andr\u00e9, E., Dybkj\u00e6r, L., Minker, W., Neumann, H., Weber, M. (eds.) Perception and Interactive Technologies, pp. 164\u2013174. Springer, Berlin Heidelberg (2006)"},{"issue":"2","key":"1_CR2","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1109\/TASSP.1987.1165108","volume":"35","author":"G Beylkin","year":"1987","unstructured":"Beylkin, G.: Discrete radon transform. IEEE Trans. Acoust. Speech Signal Process. 35(2), 162\u2013172 (1987). \nhttps:\/\/doi.org\/10.1109\/TASSP.1987.1165108","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"1_CR3","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.cviu.2016.03.004","volume":"149","author":"G Canal","year":"2016","unstructured":"Canal, G., Escalera, S., Angulo, C.: A real-time human-robot interaction system based on gestures for assistive scenarios. Comput. Vis. Image Underst. 149, 65\u201377 (2016). \nhttps:\/\/doi.org\/10.1016\/j.cviu.2016.03.004\n\n. Special issue on Assistive Computer Vision and Robotics - Assistive Solutions for Mobility, Communication and HMI","journal-title":"Comput. Vis. Image Underst."},{"key":"1_CR4","unstructured":"Cao, Z., Hidalgo, G., Simon, T., Wei, S., Sheikh, Y.: OpenPose: realtime multi-person 2D pose estimation using part affinity fields (2018). CoRR abs\/1812.08008. \nhttp:\/\/arxiv.org\/abs\/1812.08008"},{"key":"1_CR5","doi-asserted-by":"publisher","unstructured":"Chen, C., Jafari, R., Kehtarnavaz, N.: UTD-MHAD: a multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor. In: 2015 IEEE International Conference on Image Processing (ICIP), pp. 168\u2013172, September 2015. \nhttps:\/\/doi.org\/10.1109\/ICIP.2015.7350781","DOI":"10.1109\/ICIP.2015.7350781"},{"key":"1_CR6","doi-asserted-by":"publisher","unstructured":"Chen, M., Nikolaidis, S., Soh, H., Hsu, D., Srinivasa, S.: Planning with trust for human-robot collaboration. In: Proceedings of the 2018 ACM\/IEEE International Conference on Human-Robot Interaction HRI 2018, pp. 307\u2013315. Association for Computing Machinery, New York (2018). \nhttps:\/\/doi.org\/10.1145\/3171221.3171264","DOI":"10.1145\/3171221.3171264"},{"key":"1_CR7","doi-asserted-by":"publisher","unstructured":"Chen, Y., Wu, Q., He, X.: Human action recognition by radon transform. In: 2008 IEEE International Conference on Data Mining Workshops, pp. 862\u2013868, December 2008. \nhttps:\/\/doi.org\/10.1109\/ICDMW.2008.26","DOI":"10.1109\/ICDMW.2008.26"},{"key":"1_CR8","unstructured":"Gehring, J., Auli, M., Grangier, D., Yarats, D., Dauphin, Y.N.: Convolutional sequence to sequence learning. In: Proceedings of the 34th International Conference on Machine Learning ICML 2017, vol. 70, pp. 1243\u20131252. JMLR.org (2017)"},{"key":"1_CR9","doi-asserted-by":"publisher","unstructured":"Goudelis, G., Tsatiris, G., Karpouzis, K., Kollias, S.: 3D cylindrical trace transform based feature extraction for effective human action classification. In: 2017 IEEE Conference on Computational Intelligence and Games (CIG), pp. 96\u2013103, August 2017. \nhttps:\/\/doi.org\/10.1109\/CIG.2017.8080421","DOI":"10.1109\/CIG.2017.8080421"},{"issue":"12","key":"1_CR10","doi-asserted-by":"publisher","first-page":"3238","DOI":"10.1016\/j.patcog.2013.06.006","volume":"46","author":"G Goudelis","year":"2013","unstructured":"Goudelis, G., Karpouzis, K., Kollias, S.: Exploring trace transform for robust human action recognition. Pattern Recogn. 46(12), 3238\u20133248 (2013). \nhttps:\/\/doi.org\/10.1016\/j.patcog.2013.06.006","journal-title":"Pattern Recogn."},{"key":"1_CR11","doi-asserted-by":"publisher","unstructured":"Hamdi, D.E., Elouedi, I., Fathallah, A., Nguyuen, M.K., Hamouda, A.: Combining fingerprints and their radon transform as input to deep learning for a fingerprint classification task. In: 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 1448\u20131453, November 2018. \nhttps:\/\/doi.org\/10.1109\/ICARCV.2018.8581072","DOI":"10.1109\/ICARCV.2018.8581072"},{"key":"1_CR12","doi-asserted-by":"publisher","unstructured":"Ji, Y., Yang, Y., Shen, F., Shen, H.T., Li, X.: A survey of human action analysis in HRI applications. IEEE Trans. Circuits Syst. Video Technol., 1 (2019). \nhttps:\/\/doi.org\/10.1109\/TCSVT.2019.2912988","DOI":"10.1109\/TCSVT.2019.2912988"},{"issue":"8","key":"1_CR13","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1109\/34.946986","volume":"23","author":"A Kadyrov","year":"2001","unstructured":"Kadyrov, A., Petrou, M.: The trace transform and its applications. IEEE Trans. Pattern Anal. Mach. Intell. 23(8), 811\u2013828 (2001). \nhttps:\/\/doi.org\/10.1109\/34.946986","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2\u20133","key":"1_CR14","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s11263-005-1838-7","volume":"64","author":"I Laptev","year":"2005","unstructured":"Laptev, I.: On space-time interest points. Int. J. Comput. Vis. 64(2\u20133), 107\u2013123 (2005)","journal-title":"Int. J. Comput. Vis."},{"issue":"4","key":"1_CR15","doi-asserted-by":"publisher","first-page":"1586","DOI":"10.1109\/TIP.2017.2785279","volume":"27","author":"J Liu","year":"2018","unstructured":"Liu, J., Wang, G., Duan, L., Abdiyeva, K., Kot, A.C.: Skeleton-based human action recognition with global context-aware attention lstm networks. IEEE Trans. Image Process. 27(4), 1586\u20131599 (2018). \nhttps:\/\/doi.org\/10.1109\/TIP.2017.2785279","journal-title":"IEEE Trans. Image Process."},{"key":"1_CR16","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.neucom.2015.08.096","volume":"181","author":"Y Liu","year":"2016","unstructured":"Liu, Y., Nie, L., Liu, L., Rosenblum, D.S.: From action to activity: sensor-based activity recognition. Neurocomputing 181, 108\u2013115 (2016). \nhttps:\/\/doi.org\/10.1016\/j.neucom.2015.08.096\n\n. Big Data Driven Intelligent Transportation Systems","journal-title":"Neurocomputing"},{"issue":"8","key":"1_CR17","doi-asserted-by":"publisher","first-page":"983","DOI":"10.1016\/S0031-2023(97)00122-2","volume":"31","author":"S Loncaric","year":"1998","unstructured":"Loncaric, S.: A survey of shape analysis techniques. Pattern Recogn. 31(8), 983\u20131001 (1998). \nhttps:\/\/doi.org\/10.1016\/S0031-2023(97)00122-2","journal-title":"Pattern Recogn."},{"key":"1_CR18","doi-asserted-by":"publisher","DOI":"10.5772\/6648","volume-title":"State of the Art in Face Recognition","author":"Lori Malatesta","year":"2009","unstructured":"Malatesta, L., Murray, J., Raouzaiou, A., Hiolle, A., Ca\u00f1amero, L., Karpouzis, K.: Emotion modelling and facial affect recognition in human-computer and human-robot interaction. In: Murgu\u00eda, M.I.C. (ed.) State of the Art in Face Recognition. IntechOpen, Rijeka (2009). \nhttps:\/\/doi.org\/10.5772\/6648"},{"key":"1_CR19","doi-asserted-by":"publisher","unstructured":"Nibali, A., He, Z., Morgan, S., Prendergast, L.: 3D human pose estimation with 2D marginal heatmaps. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1477\u20131485, January 2019. \nhttps:\/\/doi.org\/10.1109\/WACV.2019.00162","DOI":"10.1109\/WACV.2019.00162"},{"key":"1_CR20","first-page":"293","volume-title":"Fundamentals of Agent Perception and Attention Modelling","author":"C Peters","year":"2011","unstructured":"Peters, C., Castellano, C., Rehm, M., Andr\u00e9, E., Raouzaiou, A., Rapantzikos, K., Karpouzis, K., Volpe, G., Camurri, A., Vasalou, A.: Fundamentals of Agent Perception and Attention Modelling, pp. 293\u2013319. Springer, Berlin, Heidelberg (2011)"},{"issue":"11","key":"1_CR21","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1049\/iet-ipr:20060040","volume":"1","author":"K Rapantzikos","year":"2007","unstructured":"Rapantzikos, K., Tsapatsoulis, N., Avrithis, Y., Kollias, S.: Bottom-up spatiotemporal visual attention model for video analysis. IET Image Process. 1(11), 237\u2013248 (2007)","journal-title":"IET Image Process."},{"key":"1_CR22","doi-asserted-by":"publisher","unstructured":"Rodomagoulakis, I., Kardaris, N., Pitsikalis, V., Mavroudi, E., Katsamanis, A., Tsiami, A., Maragos, P.: Multimodal human action recognition in assistive human-robot interaction. In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2702\u20132706, March 2016. \nhttps:\/\/doi.org\/10.1109\/ICASSP.2016.7472168","DOI":"10.1109\/ICASSP.2016.7472168"},{"key":"1_CR23","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: Bengio, Y., LeCun, Y. (eds.) 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, 7\u20139 May 2015, Conference Track Proceedings (2015). \nhttp:\/\/arxiv.org\/abs\/1409.1556"},{"key":"1_CR24","doi-asserted-by":"publisher","unstructured":"Tsatiris, G., Karpouzis, K., Kollias, S.: Variance-based shape descriptors for determining the level of expertise of tennis players. In: 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), pp. 169\u2013172 , September 2017. \nhttps:\/\/doi.org\/10.1109\/VS-GAMES.2017.8056591","DOI":"10.1109\/VS-GAMES.2017.8056591"},{"key":"1_CR25","doi-asserted-by":"publisher","unstructured":"Tsatiris, G., Karpouzis, K., Kollias, S.: Applications of human action analysis and recognition on wireless network infrastructures: state of the art and real world challenges. In: 2018 Innovations in Intelligent Systems and Applications (INISTA). pp.\u00a01\u20136, July 2018. \nhttps:\/\/doi.org\/10.1109\/INISTA.2018.8466317","DOI":"10.1109\/INISTA.2018.8466317"},{"key":"1_CR26","doi-asserted-by":"publisher","unstructured":"Uddin, M.Z., Khaksar, W., Torresen, J.: Activity recognition using deep recurrent neural network on translation and scale-invariant features. In: 2018 25th IEEE International Conference on Image Processing (ICIP), pp. 475\u2013479, October 2018. \nhttps:\/\/doi.org\/10.1109\/ICIP.2018.8451319","DOI":"10.1109\/ICIP.2018.8451319"},{"key":"1_CR27","doi-asserted-by":"publisher","unstructured":"Varia, C., Tsatiris, G., Karpouzis, K., Kollias, S.: A refined 3D dataset for the analysis of player actions in exertion games. In: 2018 IEEE Conference on Computational Intelligence and Games (CIG), pp.\u00a01\u20134, August 2018. \nhttps:\/\/doi.org\/10.1109\/CIG.2018.8490458","DOI":"10.1109\/CIG.2018.8490458"},{"key":"1_CR28","doi-asserted-by":"crossref","unstructured":"Wang, F., Jiang, M., Qian, C., Yang, S., Li, C., Zhang, H., Wang, X., Tang, X.: Residual attention network for image classification. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017","DOI":"10.1109\/CVPR.2017.683"},{"key":"1_CR29","doi-asserted-by":"publisher","unstructured":"Yu, M., Gong, L., Kollias, S.: Computer vision based fall detection by a convolutional neural network. In: Proceedings of the 19th ACM International Conference on Multimodal Interaction ICMI 2017, pp. 416\u2013420. Association for Computing Machinery, New York (2017). \nhttps:\/\/doi.org\/10.1145\/3136755.3136802","DOI":"10.1145\/3136755.3136802"}],"container-title":["Proceedings of the International Neural Networks Society","Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-48791-1_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T10:05:34Z","timestamp":1590573934000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-48791-1_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030487904","9783030487911"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-48791-1_1","relation":{},"ISSN":["2661-8141","2661-815X"],"issn-type":[{"type":"print","value":"2661-8141"},{"type":"electronic","value":"2661-815X"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"28 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Engineering Applications of Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Halkidiki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eann2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eann2020.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}