{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T12:39:20Z","timestamp":1743079160379,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031093845"},{"type":"electronic","value":"9783031093852"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-09385-2_25","type":"book-chapter","created":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T12:10:24Z","timestamp":1655727024000},"page":"280-291","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning in Taekwondo Techniques Recognition System: A Preliminary Approach"],"prefix":"10.1007","author":[{"given":"Paulo","family":"Barbosa","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6170-1626","authenticated-orcid":false,"given":"Pedro","family":"Cunha","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4658-5844","authenticated-orcid":false,"given":"V\u00edtor","family":"Carvalho","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4438-6713","authenticated-orcid":false,"given":"Filomena","family":"Soares","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"key":"25_CR1","unstructured":"Hist\u00f3ria do Taekwondo. https:\/\/lutasartesmarciais.com\/artigos\/historia-taekwondo. Accessed 28 Jan 2022"},{"key":"25_CR2","unstructured":"Sun-Yong, D.: Chung Sun-Yong. https:\/\/www.wikisporting.com\/index.php?title=Chung_Sun-Yong. Accessed 09 Feb 2022"},{"key":"25_CR3","unstructured":"Praticantes desportivos federados: total e por todas as federa\u00e7\u00f5es desportivas. https:\/\/www.pordata.pt\/Portugal\/Praticantes+desportivos+federados+total+e+por+todas+as+federa%c3%a7%c3%b5es+desportivas-2227-178606. Accessed 09 Feb 2022"},{"key":"25_CR4","unstructured":"Arastey, G., Arastey, G.: Computer Vision in Sport | Sport Performance Analysis. https:\/\/www.sportperformanceanalysis.com\/article\/computer-vision-in-sport"},{"key":"25_CR5","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/978-3-319-91334-6_35","volume-title":"Innovation, Engineering and Entrepreneurship","author":"P Cunha","year":"2019","unstructured":"Cunha, P., Carvalho, V., Soares, F.: Real-time data movements acquisition of taekwondo athletes: first insights. In: Machado, J., Soares, F., Veiga, G. (eds.) HELIX 2018. LNEE, vol. 505, pp. 251\u2013258. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-91334-6_35"},{"key":"25_CR6","unstructured":"Nadig, M., Kumar, S.: Measurement of velocity and acceleration of human movement for analysis of body dynamics. In: International Journal of Advanced Research in Computer Science & Technology (IJARCST 2015), vol. 3, pp. 37\u201340 (2015)"},{"key":"25_CR7","series-title":"Lecture Notes in Computational Vision and Biomechanics","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/978-3-319-68195-5_47","volume-title":"VipIMAGE 2017","author":"T Pinto","year":"2018","unstructured":"Pinto, T., Faria, E., Cunha, P., Soares, F., Carvalho, V., Carvalho, H.: Recording of occurrences through image processing in taekwondo training: first insights. In: Tavares, J.M.R.S., Natal Jorge, R.M. (eds.) ECCOMAS 2017. LNCVB, vol. 27, pp. 427\u2013436. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-68195-5_47"},{"key":"25_CR8","unstructured":"Cunha, P., Carvalho, V., Soares, F.: Development of a real-time evaluation system for top taekwondo athletes SPERTA. In: SENSORDEVICES 2018, The Ninth International Conference on Sensor Device Technologies and Applications, pp. 140\u2013145 (2018)"},{"key":"25_CR9","doi-asserted-by":"publisher","unstructured":"Cunha, P., Barbosa, P., Ferreira, F., Fitas, C., Carvalho, V., Soares, F.: Real-time evaluation system for top taekwondo athletes: project overview. In: BIODEVICES 2021 - 14th International Conference on Biomedical Electronics and Devices, pp. 209\u2013216 (2021). https:\/\/doi.org\/10.5220\/0010414202090216","DOI":"10.5220\/0010414202090216"},{"key":"25_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/s19225001","volume":"19","author":"Z Zhuang","year":"2019","unstructured":"Zhuang, Z., Xue, Y.: Sport-related human activity detection and recognition using a smartwatch. Sensors 19, 1\u201321 (2019). https:\/\/doi.org\/10.3390\/s19225001","journal-title":"Sensors"},{"key":"25_CR11","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.cviu.2018.04.007","volume":"171","author":"P Wang","year":"2018","unstructured":"Wang, P., Li, W., Ogunbona, P., Wan, J., Escalera, S.: RGB-D-based human motion recognition with deep learning: a survey. Comput. Vis. Image Underst. 171, 118\u2013139 (2018). https:\/\/doi.org\/10.1016\/j.cviu.2018.04.007","journal-title":"Comput. Vis. Image Underst."},{"key":"25_CR12","unstructured":"Kong, Y., Fu, Y.: Human Action Recognition and Prediction: A Survey. arXiv abs\/1806.11230. 13 (2018)"},{"key":"25_CR13","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.3390\/s19051005","volume":"19","author":"H Zhang","year":"2019","unstructured":"Zhang, H., et al.: A comprehensive survey of vision-based human action recognition methods. Sensors 19, 1005 (2019). https:\/\/doi.org\/10.3390\/s19051005","journal-title":"Sensors"},{"key":"25_CR14","doi-asserted-by":"publisher","unstructured":"Jiang, W., Yin, Z.: Human activity recognition using wearable sensors by deep convolutional neural networks. In: 23rd ACM International Conference on Multimedia, pp. 1307\u20131310. Association for Computing Machinery, New York (2015). https:\/\/doi.org\/10.1145\/2733373.2806333","DOI":"10.1145\/2733373.2806333"},{"key":"25_CR15","unstructured":"Zhang, Y., Zhang, Y., Zhang, Z., Bao, J., Song, Y.: Human activity recognition based on time series analysis using U-Net. arXiv abs\/1809.08113 (2018)"},{"key":"25_CR16","doi-asserted-by":"publisher","unstructured":"Liu, J., Wang, G., Hu, P., Duan, L., Kot, A.: Global context-aware attention LSTM networks for 3D action recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1647\u20131656 (2017). https:\/\/doi.org\/10.1109\/CVPR.2017.391","DOI":"10.1109\/CVPR.2017.391"},{"key":"25_CR17","unstructured":"Ren, B., Liu, M., Ding, R., Liu, H.: A survey on 3D skeleton-based action recognition using learning method. arXiv:2002.05907, pp. 1\u20138 (2020)"},{"key":"25_CR18","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1109\/TIP.2019.2925285","volume":"29","author":"L Wang","year":"2019","unstructured":"Wang, L., Huynh, D., Koniusz, P.: A comparative review of recent kinect-based action recognition algorithms. IEEE Trans. Image Process. 29, 15\u201328 (2019). https:\/\/doi.org\/10.1109\/TIP.2019.2925285","journal-title":"IEEE Trans. Image Process."},{"key":"25_CR19","doi-asserted-by":"crossref","unstructured":"Pienaar, S., Malekian, R.: Human activity recognition using LSTM-RNN deep neural network architecture. In: IEEE 2nd Wireless Africa Conference, Piscataway, pp. 1\u20135 (2019)","DOI":"10.1109\/AFRICA.2019.8843403"},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Zhu, W., et al.: Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks. In: AAAI Conference on Artificial Intelligence. AAAI (2016)","DOI":"10.1609\/aaai.v30i1.10451"},{"key":"25_CR21","doi-asserted-by":"publisher","unstructured":"Zhao, R., Wang, K., Su, H., Ji, Q.: Bayesian graph convolution LSTM for skeleton based action recognition. In: IEEE\/CVF International Conference on Computer Vision, pp. 6882\u20136892 (2019). https:\/\/doi.org\/10.1109\/ICCV.2019.00698","DOI":"10.1109\/ICCV.2019.00698"},{"key":"25_CR22","unstructured":"Sanchez-Caballero, A., Fuentes-Jimenez, D., Losada-Guti\u00e9rrez, C.: Exploiting the ConvLSTM: human action recognition using raw depth video-based recurrent neural networks. arXiv preprint arXiv:2006.07744 (2020)"},{"issue":"4","key":"25_CR23","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1007\/s10618-019-00619-1","volume":"33","author":"H Ismail Fawaz","year":"2019","unstructured":"Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L., Muller, P.-A.: Deep learning for time series classification: a review. Data Min. Knowl. Disc. 33(4), 917\u2013963 (2019). https:\/\/doi.org\/10.1007\/s10618-019-00619-1","journal-title":"Data Min. Knowl. Disc."},{"issue":"8","key":"25_CR24","doi-asserted-by":"publisher","first-page":"5455","DOI":"10.1007\/s10462-020-09825-6","volume":"53","author":"A Khan","year":"2020","unstructured":"Khan, A., Sohail, A., Zahoora, U., Qureshi, A.S.: A survey of the recent architectures of deep convolutional neural networks. Artif. Intell. Rev. 53(8), 5455\u20135516 (2020). https:\/\/doi.org\/10.1007\/s10462-020-09825-6","journal-title":"Artif. Intell. Rev."},{"key":"25_CR25","unstructured":"Mittal, A.: Understanding RNN and LSTM. https:\/\/towardsdatascience.com\/understanding-rnn-and-lstm-f7cdf6dfc14e. Accessed 09 Feb 2022"},{"key":"25_CR26","unstructured":"Understanding LSTM Networks \u2013 colah\u2019s blog. https:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs. Accessed 05 Feb 2022"},{"key":"25_CR27","doi-asserted-by":"publisher","unstructured":"Barbosa, P., Cunha, P., Carvalho, V., Soares, F.: Classification of taekwondo techniques using deep learning methods: first insights. In: BIODEVICES 14th International Joint Conference on Biomedical Engineering Systems and Technologies, pp. 201\u2013208 (2021). https:\/\/doi.org\/10.5220\/0010412402010208","DOI":"10.5220\/0010412402010208"}],"container-title":["Lecture Notes in Mechanical Engineering","Innovations in Mechatronics Engineering II"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-09385-2_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T20:53:11Z","timestamp":1675889591000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-09385-2_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031093845","9783031093852"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-09385-2_25","relation":{},"ISSN":["2195-4356","2195-4364"],"issn-type":[{"type":"print","value":"2195-4356"},{"type":"electronic","value":"2195-4364"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"21 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"icieng","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference Innovation in Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Minho","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icieng2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icieng.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}