{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T10:27:49Z","timestamp":1743157669954,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030275433"},{"type":"electronic","value":"9783030275440"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-27544-0_25","type":"book-chapter","created":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T23:06:44Z","timestamp":1565046404000},"page":"299-310","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal Movement Activity Recognition Using a Robot\u2019s Proprioceptive Sensors"],"prefix":"10.1007","author":[{"given":"Robin","family":"Schmucker","sequence":"first","affiliation":[]},{"given":"Chenghui","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Manuela","family":"Veloso","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,4]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-85729-650-4","volume-title":"Fault Detection and Fault-Tolerant Control Using Sliding Modes","author":"H Alwi","year":"2011","unstructured":"Alwi, H., Edwards, C., Tan, C.P.: Fault Detection and Fault-Tolerant Control Using Sliding Modes. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-0-85729-650-4"},{"key":"25_CR2","unstructured":"Avci, A., Bosch, S., Marin-Perianu, M., Marin-Perianu, R., Havinga, P.: Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: a survey. In: 2010 23rd International Conference on Architecture of Computing Systems (ARCS), pp. 1\u201310. VDE (2010)"},{"key":"25_CR3","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1016\/j.procs.2014.07.009","volume":"34","author":"A Bayat","year":"2014","unstructured":"Bayat, A., Pomplun, M., Tran, D.A.: A study on human activity recognition using accelerometer data from smartphones. Procedia Comput. Sci. 34, 450\u2013457 (2014)","journal-title":"Procedia Comput. Sci."},{"key":"25_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-39593-2_1","volume-title":"Statistical Language and Speech Processing","author":"Y Bengio","year":"2013","unstructured":"Bengio, Y.: Deep learning of representations: looking forward. In: Dediu, A.-H., Mart\u00edn-Vide, C., Mitkov, R., Truthe, B. (eds.) SLSP 2013. LNCS (LNAI), vol. 7978, pp. 1\u201337. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39593-2_1"},{"issue":"5","key":"25_CR5","doi-asserted-by":"publisher","first-page":"1662","DOI":"10.1016\/j.eswa.2012.09.004","volume":"40","author":"S Chernbumroong","year":"2013","unstructured":"Chernbumroong, S., Cang, S., Atkins, A., Yu, H.: Elderly activities recognition and classification for applications in assisted living. Expert Syst. Appl. 40(5), 1662\u20131674 (2013)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"25_CR6","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1109\/JSEN.2016.2628346","volume":"17","author":"M Cornacchia","year":"2017","unstructured":"Cornacchia, M., Ozcan, K., Zheng, Y., Velipasalar, S.: A survey on activity detection and classification using wearable sensors. IEEE Sens. J. 17(2), 386\u2013403 (2017)","journal-title":"IEEE Sens. J."},{"issue":"6","key":"25_CR7","doi-asserted-by":"publisher","first-page":"1292","DOI":"10.1109\/TRO.2017.2723903","volume":"33","author":"S Haddadin","year":"2017","unstructured":"Haddadin, S., De Luca, A., Albu-Sch\u00e4ffer, A.: Robot collisions: a survey on detection, isolation, and identification. IEEE Trans. Robot. 33(6), 1292\u20131312 (2017)","journal-title":"IEEE Trans. Robot."},{"issue":"8","key":"25_CR8","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"1","key":"25_CR9","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1145\/3146389","volume":"51","author":"E Khalastchi","year":"2018","unstructured":"Khalastchi, E., Kalech, M.: On fault detection and diagnosis in robotic systems. ACM Comput. Surv. (CSUR) 51(1), 9 (2018)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"25_CR10","unstructured":"Kinga, D., Adam, J.B.: Adam: a method for stochastic optimization. In: International Conference on Learning Representations (ICLR) (2015)"},{"issue":"3","key":"25_CR11","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1109\/SURV.2012.110112.00192","volume":"15","author":"OD Lara","year":"2013","unstructured":"Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutor. 15(3), 1192\u20131209 (2013)","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"6","key":"25_CR12","doi-asserted-by":"publisher","first-page":"1898","DOI":"10.1109\/JSEN.2014.2306094","volume":"14","author":"K Liu","year":"2014","unstructured":"Liu, K., Chen, C., Jafari, R., Kehtarnavaz, N.: Fusion of inertial and depth sensor data for robust hand gesture recognition. IEEE Sens. J. 14(6), 1898\u20131903 (2014)","journal-title":"IEEE Sens. J."},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Ofli, F., Chaudhry, R., Kurillo, G., Vidal, R., Bajcsy, R.: Berkeley MHAD: a comprehensive multimodal human action database. In: 2013 IEEE Workshop on Applications of Computer Vision (WACV), pp. 53\u201360. IEEE (2013)","DOI":"10.1109\/WACV.2013.6474999"},{"issue":"1","key":"25_CR14","doi-asserted-by":"publisher","first-page":"115","DOI":"10.3390\/s16010115","volume":"16","author":"FJ Ord\u00f3\u00f1ez","year":"2016","unstructured":"Ord\u00f3\u00f1ez, F.J., Roggen, D.: Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition. Sensors 16(1), 115 (2016)","journal-title":"Sensors"},{"issue":"2","key":"25_CR15","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.robot.2005.09.004","volume":"53","author":"O Pettersson","year":"2005","unstructured":"Pettersson, O.: Execution monitoring in robotics: a survey. Robot. Auton. Syst. 53(2), 73\u201388 (2005)","journal-title":"Robot. Auton. Syst."},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Radu, V., Lane, N.D., Bhattacharya, S., Mascolo, C., Marina, M.K., Kawsar, F.: Towards multimodal deep learning for activity recognition on mobile devices. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 185\u2013188. ACM (2016)","DOI":"10.1145\/2968219.2971461"},{"issue":"1","key":"25_CR17","doi-asserted-by":"publisher","first-page":"2059","DOI":"10.3390\/s150102059","volume":"15","author":"M Shoaib","year":"2015","unstructured":"Shoaib, M., Bosch, S., Incel, O.D., Scholten, H., Havinga, P.J.: A survey of online activity recognition using mobile phones. Sensors 15(1), 2059\u20132085 (2015)","journal-title":"Sensors"},{"key":"25_CR18","unstructured":"Wang, J., Chen, Y., Hao, S., Peng, X., Hu, L.: Deep learning for sensor-based activity recognition: a survey. arXiv preprint arXiv:1707.03502 (2017)"},{"issue":"10","key":"25_CR19","first-page":"277","volume":"6","author":"T Zhang","year":"2006","unstructured":"Zhang, T., Wang, J., Liu, P., Hou, J.: Fall detection by embedding an accelerometer in cellphone and using KFD algorithm. Int. J. Comput. Sci. Netw. Secur. 6(10), 277\u2013284 (2006)","journal-title":"Int. J. Comput. Sci. Netw. Secur."}],"container-title":["Lecture Notes in Computer Science","RoboCup 2018: Robot World Cup XXII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-27544-0_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,6]],"date-time":"2023-08-06T00:04:42Z","timestamp":1691280282000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-27544-0_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030275433","9783030275440"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-27544-0_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"4 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RoboCup","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Robot World Cup","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montr\u00e9al, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"robocup2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.robocup2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}