{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:18:25Z","timestamp":1742998705937,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811623356"},{"type":"electronic","value":"9789811623363"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-981-16-2336-3_8","type":"book-chapter","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T16:17:17Z","timestamp":1620145037000},"page":"94-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Attitude Estimation Algorithm Based on EKF-LSTM Fusion Model"],"prefix":"10.1007","author":[{"given":"Yufan","family":"Zhuo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuchun","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenkun","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huisi","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiming","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,5]]},"reference":[{"issue":"2","key":"8_CR1","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/MIM.2012.6174574","volume":"15","author":"F Khoshnoud","year":"2012","unstructured":"Khoshnoud, F.: Recent advances in MEMS sensor technology-mechanical applications. Instrum. Measur. Mag. 15(2), 14\u201324 (2012)","journal-title":"Instrum. Measur. Mag."},{"issue":"5","key":"8_CR2","doi-asserted-by":"publisher","first-page":"1391","DOI":"10.3390\/s18051391","volume":"18","author":"J Kuang","year":"2018","unstructured":"Kuang, J., Niu, X., Chen, X.: Robust pedestrian dead reckoning based on MEMS-IMU for smartphones. Sensors-Basel 18(5), 1391 (2018)","journal-title":"Sensors-Basel"},{"key":"8_CR3","unstructured":"Pierleoni, P., Belli, A., Palma, L., Pernini, L., Valenti, S.: An accurate device for real-time altitude estimation using data fusion algorithms. In: IEEE\/ASME International Conference on Mechatronic & Embedded Systems & Applications, 2014 (2014)"},{"key":"8_CR4","unstructured":"Hajiyev, C., Conguroglu, E.S.: Integration of algebraic method and EKF for attitude determination of small information satellites. In: 7th International Conference on Recent Advances in Space Technologies (RAST), 2015 (2015)"},{"issue":"6","key":"8_CR5","doi-asserted-by":"publisher","first-page":"1750","DOI":"10.2514\/1.35221","volume":"31","author":"FL Markley","year":"2015","unstructured":"Markley, F.L., Sedlak, J.E.: Kalman filter for spinning spacecraft attitude estimation. J. Guidance Control Dyn. 31(6), 1750\u20131760 (2015)","journal-title":"J. Guidance Control Dyn."},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Li, H., Tang, Q., Li, J.: Attitude\/position estimation of monocular vision based on multiple model Kalman filter (2018)","DOI":"10.1007\/978-981-13-3305-7_200"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Vlastos, P., Elkaim, G., Curry, R.: Low-cost validation for complementary filter-based AHRS. In: 2020 IEEE\/ION Position, Location and Navigation Symposium (PLANS) (2020)","DOI":"10.1109\/PLANS46316.2020.9109965"},{"issue":"15","key":"8_CR8","doi-asserted-by":"publisher","first-page":"6008","DOI":"10.1109\/JSEN.2016.2574124","volume":"16","author":"MB Del Rosario","year":"2016","unstructured":"Del Rosario, M.B., Lovell, N.H., Redmond, S.J.: Quaternion-based complementary filter for attitude determination of a smartphone. IEEE Sens. J. 16(15), 6008\u20136017 (2016)","journal-title":"IEEE Sens. J."},{"issue":"9","key":"8_CR9","first-page":"1391","volume":"29","author":"M Chen","year":"2015","unstructured":"Chen, M., Xie, Y., Chen, Y.: Attitude estimation of MEMS based on improved quaternion complementary filter. J. Electron. Measur. Instrum. 29(9), 1391\u20131397 (2015)","journal-title":"J. Electron. Measur. Instrum."},{"key":"8_CR10","first-page":"62","volume":"36","author":"D Zhang","year":"2017","unstructured":"Zhang, D., Jiao, S.M., Liu, Y.Q.: Fused attitude estimation algorithm based on complementary filtering and Kalman filtering. Transducer Microsyst. Technol. 36, 62\u201366 (2017)","journal-title":"Transducer Microsyst. Technol."},{"key":"8_CR11","unstructured":"Du, S., Wu, H., Zhang, J., Ma, W.: Kind of improving compensation filter algorithm for AHRS. Foreign Electron. Measur. Technol. 3, 13\u201318 (2015)"},{"issue":"12","key":"8_CR12","doi-asserted-by":"publisher","first-page":"2735","DOI":"10.3390\/s17122735","volume":"17","author":"D Omid","year":"2017","unstructured":"Omid, D., Mojtaba, T., Raghvendar, C.V.: IMU-based gait recognition using convolutional neural networks and multi-sensor fusion. Sensors-Basel 17(12), 2735 (2017)","journal-title":"Sensors-Basel"},{"key":"8_CR13","unstructured":"Jain, A., Zamir, A.R., Savarese, S., Saxena, A.: Structural-RNN: deep learning on spatio-temporal graphs. In: Computer Vision & Pattern Recognition, 2016 (2016)"},{"key":"8_CR14","unstructured":"Coskun, H., Achilles, F., Dipietro, R., Navab, N., Tombari, F.: Long short-term memory kalman filters: recurrent neural estimators for pose regularization. In: 2017 IEEE International Conference on Computer Vision (ICCV), 2017. IEEE (2017)"},{"key":"8_CR15","unstructured":"Wang, J.J., Wang, J., Sinclair, D., Watts, L.: A neural network and Kalman filter hybrid approach for GPS\/INS integration. In: 12th IAIN Congress and 2006 International Symposium (2006)"},{"issue":"8","key":"8_CR16","first-page":"1187","volume":"31","author":"J Wang","year":"2018","unstructured":"Wang, J., Ma, J.: Research on attitude algorithm of EKF and complementary filtering fusion. Chin. J. Sens. Actuators 31(8), 1187\u20131191 (2018)","journal-title":"Chin. J. Sens. Actuators"},{"key":"8_CR17","doi-asserted-by":"publisher","unstructured":"Nonami, K., Kendoul, F., Suzuki, S., Wei, W., Nakazawa, D.: Autonomous Flying Robots. Springer, Japan (2010). https:\/\/doi.org\/10.1007\/978-4-431-53856-1","DOI":"10.1007\/978-4-431-53856-1"},{"issue":"99","key":"8_CR18","doi-asserted-by":"publisher","first-page":"1662","DOI":"10.1109\/ACCESS.2017.2779939","volume":"6","author":"F Karim","year":"2018","unstructured":"Karim, F., Majumdar, S., Darabi, H., Chen, S.: LSTM fully convolutional networks for time series classification. IEEE Access 6(99), 1662\u20131669 (2018)","journal-title":"IEEE Access"},{"key":"8_CR19","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.compbiomed.2018.03.016","volume":"96","author":"Z Yildirim","year":"2018","unstructured":"Yildirim, Z.: A novel wavelet sequences based on deep bidirectional LSTM network model for ECG signal classification. Comput. Biol. Med. 96, 189\u2013202 (2018)","journal-title":"Comput. Biol. Med."},{"issue":"99","key":"8_CR20","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.Y., Abdiyeva, K., Kot, A.C.: Skeleton-based human action recognition with global context-aware attention LSTM networks. IEEE Trans. Image Process. 27(99), 1586\u20131599 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"8_CR21","unstructured":"Qu, D.C., Feng, Y.G., Fan, S.L., Qi, C.: Study of a fault diagnosis method based on Elman neural network and trouble dictionary (2008)"}],"container-title":["Communications in Computer and Information Science","Cognitive Systems and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-2336-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T16:40:56Z","timestamp":1620146456000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-2336-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811623356","9789811623363"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-2336-3_8","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"5 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cognitive Systems and Signal Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhuhai","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsip2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iccsip2020.caai.cn\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"120","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":"59","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":"49% - 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":"3","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)"}}]}}