{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:56:36Z","timestamp":1777571796668,"version":"3.51.4"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030807122","type":"print"},{"value":"9783030807139","type":"electronic"}],"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\/978-3-030-80713-9_36","type":"book-chapter","created":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T10:03:47Z","timestamp":1625652227000},"page":"278-285","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Machine Learning-Based Pre-impact Fall Detection and Injury Prevention for the Elderly with Wearable Inertial Sensors"],"prefix":"10.1007","author":[{"given":"Xiaoqun","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaehyuk","family":"Jang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuping","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,8]]},"reference":[{"key":"36_CR1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511722233","volume-title":"Falls in Older People: Risk Factors and Strategies for Prevention","author":"SR Lord","year":"2007","unstructured":"Lord, S.R., et al.: Falls in Older People: Risk Factors and Strategies for Prevention, 2nd edn. Cambridge University Press, Cambridge (2007)","edition":"2"},{"issue":"37","key":"36_CR2","doi-asserted-by":"publisher","first-page":"993","DOI":"10.15585\/mmwr.mm6537a2","volume":"65","author":"G Bergen","year":"2016","unstructured":"Bergen, G., Stevens, M.R., Burns, E.R.: Falls and fall injuries among adults aged\u2265 65 years\u2014United States, 2014. Morb. Mortal. Wkly Rep. 65(37), 993\u2013998 (2016)","journal-title":"Morb. Mortal. Wkly Rep."},{"issue":"9682","key":"36_CR3","doi-asserted-by":"publisher","first-page":"2223","DOI":"10.1016\/S0140-6736(09)60746-7","volume":"373","author":"J Rehm","year":"2009","unstructured":"Rehm, J., et al.: Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. The Lancet. 373(9682), 2223\u20132233 (2009)","journal-title":"The Lancet."},{"issue":"6","key":"36_CR4","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1007\/s12652-017-0592-3","volume":"9","author":"P Vallabh","year":"2017","unstructured":"Vallabh, P., Malekian, R.: Fall detection monitoring systems: a comprehensive review. J. Ambient. Intell. Humaniz. Comput. 9(6), 1809\u20131833 (2017). https:\/\/doi.org\/10.1007\/s12652-017-0592-3","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"1","key":"36_CR5","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1186\/s12938-016-0194-x","volume":"15","author":"X Hu","year":"2016","unstructured":"Hu, X., Qu, X.: Pre-impact fall detection. Biomed. Eng. Online 15(1), 61 (2016)","journal-title":"Biomed. Eng. Online"},{"key":"36_CR6","doi-asserted-by":"crossref","unstructured":"Bourke, A.K., O'Donovan, K.J., \u00d3laighin, G.: The identification of vertical velocity profiles using an inertial sensor to investigate pre-impact detection of falls. Med. Eng. Phys. 30(7), 937\u2013946 (2008)","DOI":"10.1016\/j.medengphy.2007.12.003"},{"issue":"7","key":"36_CR7","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1109\/TNSRE.2015.2460373","volume":"24","author":"AM Sabatini","year":"2015","unstructured":"Sabatini, A.M., et al.: Prior-to-and post-impact fall detection using inertial and barometric altimeter measurements. IEEE Trans. Neural Syst. Rehabil. Eng. 24(7), 774\u2013783 (2015)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"36_CR8","doi-asserted-by":"crossref","unstructured":"Shan, S., Yuan, T.: A wearable pre-impact fall detector using feature selection and support vector machine. In: IEEE 10th International Conference On Signal Processing Proceedings. IEEE (2010)","DOI":"10.1109\/ICOSP.2010.5656840"},{"key":"36_CR9","doi-asserted-by":"crossref","unstructured":"Aziz, O., et al: The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (2014)","DOI":"10.1109\/EMBC.2014.6943521"},{"issue":"1","key":"36_CR10","doi-asserted-by":"publisher","first-page":"198","DOI":"10.3390\/s17010198","volume":"17","author":"A Sucerquia","year":"2017","unstructured":"Sucerquia, A., L\u00f3pez, J.D., Vargas-Bonilla, J.F.: SisFall: A fall and movement dataset. Sensors 17(1), 198 (2017)","journal-title":"Sensors"},{"issue":"7","key":"36_CR11","doi-asserted-by":"publisher","first-page":"1513","DOI":"10.3390\/s17071513","volume":"17","author":"E Casilari","year":"2017","unstructured":"Casilari, E., Santoyo-Ram\u00f3n, J.-A., Cano-Garc\u00eda, J.-M.: Analysis of public datasets for wearable fall detection systems. Sensors 17(7), 1513 (2017)","journal-title":"Sensors"},{"key":"36_CR12","doi-asserted-by":"publisher","unstructured":"Musci, M., et al.: Online fall detection using recurrent neural networks on smart wearable devices. IEEE Trans. Emerg. Top. Comput. 1 (2020). https:\/\/doi.org\/10.1109\/TETC.2020.3027454","DOI":"10.1109\/TETC.2020.3027454"},{"issue":"10","key":"36_CR13","doi-asserted-by":"publisher","first-page":"25474","DOI":"10.3390\/s151025474","volume":"15","author":"OD Incel","year":"2015","unstructured":"Incel, O.D.: Analysis of movement, orientation and rotation-based sensing for phone placement recognition. Sensors 15(10), 25474\u201325506 (2015)","journal-title":"Sensors"},{"key":"36_CR14","doi-asserted-by":"crossref","unstructured":"Lee, J, Kim, J.: Energy-efficient real-time human activity recognition on smart mobile devices. Mobile Inf. Syst. 2016, 1\u201312 (2016)","DOI":"10.1155\/2016\/2316757"},{"key":"36_CR15","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)"},{"key":"36_CR16","doi-asserted-by":"crossref","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Science & Business Media (2009)","DOI":"10.1007\/978-0-387-84858-7"},{"key":"36_CR17","doi-asserted-by":"crossref","unstructured":"Kim, T.H., et al.: Machine learning-based pre-impact fall detection model to discriminate various types of fall. J. Biomech. Eng. 141(8) (2019)","DOI":"10.1115\/1.4043449"},{"key":"36_CR18","doi-asserted-by":"publisher","first-page":"16349","DOI":"10.1038\/s41598-018-34671-6","volume":"8","author":"H Qiu","year":"2018","unstructured":"Qiu, H., et al.: Application of wearable inertial sensors and a new test battery for distinguishing retrospective fallers from non-fallers among community-dwelling older people. Sci. Rep. 8, 16349 (2018)","journal-title":"Sci. Rep."},{"issue":"4","key":"36_CR19","doi-asserted-by":"publisher","first-page":"155014771770325","DOI":"10.1177\/1550147717703257","volume":"13","author":"X Tao","year":"2017","unstructured":"Tao, X., Yun, Z.: Fall prediction based on biomechanics equilibrium using Kinect. Int. J. Distrib. Sens. Netw. 13(4), 1550147717703257 (2017)","journal-title":"Int. J. Distrib. Sens. Netw."}],"container-title":["Lecture Notes in Networks and Systems","Advances in Physical, Social &amp; Occupational Ergonomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-80713-9_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T05:52:30Z","timestamp":1672725150000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-80713-9_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030807122","9783030807139"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-80713-9_36","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"8 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AHFE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applied Human Factors and Ergonomics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ahfe2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.ahfe.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}