{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T15:58:47Z","timestamp":1780329527994,"version":"3.54.1"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030267629","type":"print"},{"value":"9783030267636","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-26763-6_13","type":"book-chapter","created":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T23:18:04Z","timestamp":1564442284000},"page":"131-143","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data"],"prefix":"10.1007","author":[{"given":"Ya","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weichuang","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinwen","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangchen","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Albert","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,7,24]]},"reference":[{"key":"13_CR1","unstructured":"Hussain, S.M.A., Rashid, H.U.: User independent hand gesture recognition by accelerated DTW. In: International Conference on Informatics, Electronics & Vision, pp. 1033\u20131037 (2012)"},{"key":"13_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-540-24646-6_1","volume-title":"Pervasive Computing","author":"L Bao","year":"2004","unstructured":"Bao, L., Intille, S.S.: Activity recognition from user-annotated acceleration data. In: Ferscha, A., Mattern, F. (eds.) Pervasive 2004. LNCS, vol. 3001, pp. 1\u201317. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-24646-6_1"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Dernbach, S., Das, B., Krishnan, N.C., Thomas, B.L., Cook, D.J.: Simple and complex activity recognition through smart phones. In: International Conference on Intelligent Environments, pp. 214\u2013221 (2012)","DOI":"10.1109\/IE.2012.39"},{"issue":"10","key":"13_CR4","doi-asserted-by":"publisher","first-page":"1553","DOI":"10.1109\/TPAMI.2006.197","volume":"28","author":"JA Ward","year":"2006","unstructured":"Ward, J.A., Lukowicz, P., Troster, G., Starner, T.E.: Activity recognition of assembly tasks using body-worn microphones and accelerometers. IEEE Trans. Pattern Anal. Mach. Intell. 28(10), 1553\u20131567 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"13_CR5","unstructured":"Yang, J., Wang, S., Chen, N., Chen, X.: Wearable accelerometer based extendable activity recognition system. In: IEEE International Conference on Robotics and Automation, pp. 3641\u20133647 (2010)"},{"key":"13_CR6","unstructured":"Wang, S., Yang, J., Chen, N., Chen, X.: Human activity recognition with user-free accelerometers in the sensor networks. In: International Conference on Neural Networks and Brain 2005, ICNN & B, pp. 1212\u20131217 (2005)"},{"key":"13_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/978-3-540-69916-3_12","volume-title":"Smart Homes and Health Telematics","author":"S Song","year":"2008","unstructured":"Song, S., Jang, J., Park, S.: An efficient method for activity recognition of the elderly using tilt signals of tri-axial acceleration sensor. In: Helal, S., Mitra, S., Wong, J., Chang, CK., Mokhtari, M. (eds.) ICOST 2008. LNCS, vol. 5120, pp. 99\u2013104. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-69916-3_12"},{"issue":"6","key":"13_CR8","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.4304\/jsw.6.6.1042-1049","volume":"6","author":"Z He","year":"2011","unstructured":"He, Z.: Accelerometer based gesture recognition using fusion features and SVM. J. Softw. 6(6), 1042\u20131049 (2011)","journal-title":"J. Softw."},{"issue":"4","key":"13_CR9","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1109\/72.701181","volume":"9","author":"C Nebauer","year":"1998","unstructured":"Nebauer, C.: Evaluation of convolutional neural networks for visual recognition. IEEE Trans. Neural Netw. 9(4), 685\u2013696 (1998)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"1","key":"13_CR10","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/72.554195","volume":"8","author":"S Lawrence","year":"1997","unstructured":"Lawrence, S., Giles, C.L., Tsoi, A.C., Back, A.D.: Face recognition: a convolutional neural-network approach. IEEE Trans. Neural Netw. 8(1), 98\u2013113 (1997). https:\/\/doi.org\/10.1109\/72.554195","journal-title":"IEEE Trans. Neural Netw."},{"key":"13_CR11","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: International Conference on Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"13_CR12","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556 (2014). http:\/\/arxiv.org\/abs\/1409.1556"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions, pp. 1\u20139 (2014)","DOI":"10.1109\/CVPR.2015.7298594"},{"issue":"9","key":"13_CR14","doi-asserted-by":"publisher","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","volume":"37","author":"K He","year":"2015","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(9), 1904\u20131916 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition, pp. 770\u2013778 (2015)","DOI":"10.1109\/CVPR.2016.90"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: FaceNet: a unified embedding for face recognition and clustering, pp. 815\u2013823 (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"issue":"2","key":"13_CR17","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/0893-6080(91)90009-T","volume":"4","author":"K Hornik","year":"1991","unstructured":"Hornik, K.: Approximation capabilities of multilayer feedforward networks. Neural Netw. 4(2), 251\u2013257 (1991)","journal-title":"Neural Netw."},{"key":"13_CR18","unstructured":"Keogh, E., Chu, S., Pazzani, M.: An online algorithm for segmenting time series. In: ICDM, pp. 289\u2013296 (2001)"},{"issue":"11","key":"13_CR19","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1109\/TBME.1983.325186","volume":"30","author":"M Ishijima","year":"1983","unstructured":"Ishijima, M., Shin, S.B., Hostetter, G.H., Sklansky, J.: Scan-along polygonal approximation for data compression of electrocardiograms. IEEE Trans. Biomed. Eng. BME 30(11), 723\u2013729 (1983)","journal-title":"IEEE Trans. Biomed. Eng. BME"},{"key":"13_CR20","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/3-540-48720-4_30","volume-title":"Artificial Intelligence in Medicine","author":"J Hunter","year":"1999","unstructured":"Hunter, J., McIntosh, N.: Knowledge-based event detection in complex time series data. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds.) AIMDM 1999. LNCS (LNAI), vol. 1620, pp. 271\u2013280. Springer, Heidelberg (1999). https:\/\/doi.org\/10.1007\/3-540-48720-4_30"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-26763-6_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T13:06:25Z","timestamp":1617282385000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-26763-6_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030267629","9783030267636"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-26763-6_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanchang","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2019","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":"icic2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2019\/index.htm","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":"ICIC Website","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"609","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":"217","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":"36% - 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":"3.43","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}