{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T00:00:36Z","timestamp":1792886436753,"version":"4.5.0"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T00:00:00Z","timestamp":1611792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T00:00:00Z","timestamp":1611792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Falls are a leading cause of unintentional injuries and can result in devastating disabilities and fatalities when left undetected and not treated in time. Current detection methods have one or more of the following problems: frequent battery replacements, wearer discomfort, high costs, complicated setup, furniture occlusion, and intensive computation. In fact, all non-wearable methods fail to detect falls beyond ten meters. Here, we design a house-wide fall detection system capable of detecting stumbling, slipping, fainting, and various other types of falls at 60\u00a0m and beyond, including through transparent glasses, screens, and rain. By analyzing the fall pattern using machine learning and crafted rules via a local, low-cost single-board computer, true falls can be differentiated from daily activities and monitored through conventionally available surveillance systems. Either a multi-camera setup in one room or single cameras installed at high altitudes can avoid occlusion. This system\u2019s flexibility enables a wide-coverage set-up, ensuring safety in senior homes, rehab centers, and nursing facilities. It can also be configured into high-precision and high-recall application to capture every single fall in high-risk zones.<\/jats:p>","DOI":"10.1038\/s41598-021-81115-9","type":"journal-article","created":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T11:04:39Z","timestamp":1611831879000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":93,"title":["An eight-camera fall detection system using human fall pattern recognition via machine learning by a low-cost android box"],"prefix":"10.1038","volume":"11","author":[{"given":"Francy","family":"Shu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeff","family":"Shu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,1,28]]},"reference":[{"key":"81115_CR1","unstructured":"Falls. World Health Organization https:\/\/www.who.int\/en\/news-room\/fact-sheets\/detail\/falls (2018)."},{"key":"81115_CR2","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s00415-004-0276-8","volume":"251","author":"H Stolze","year":"2004","unstructured":"Stolze, H. et al. Falls in frequent neurological diseases\u2013prevalence, risk factors and aetiology. J. Neurol. 251, 79\u201384 (2004).","journal-title":"J. Neurol."},{"key":"81115_CR3","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1080\/00325481.1996.11946142","volume":"99","author":"JK Richardson","year":"1996","unstructured":"Richardson, J. K. & Ashton-Miller, J. A. Peripheral neuropathy: An often-overlooked cause of falls in the elderly. Postgrad. Med. 99, 161\u2013172 (1996).","journal-title":"Postgrad. Med."},{"key":"81115_CR4","doi-asserted-by":"publisher","first-page":"E588","DOI":"10.1097\/BRS.0b013e3181f92d8e","volume":"36","author":"HJ Kim","year":"2011","unstructured":"Kim, H. J. et al. The risk assessment of a fall in patients with lumbar spinal stenosis. Spine 36, E588\u2013E592 (2011).","journal-title":"Spine"},{"key":"81115_CR5","doi-asserted-by":"publisher","first-page":"e0177136","DOI":"10.1371\/journal.pone.0177136","volume":"12","author":"TS Wei","year":"2017","unstructured":"Wei, T. S., Liu, P. T., Chang, L. W. & Liu, S. Y. Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients. PLoS ONE 12, e0177136 (2017).","journal-title":"PLoS ONE"},{"key":"81115_CR6","first-page":"e5329","volume":"11","author":"A Lieberman","year":"2019","unstructured":"Lieberman, A. et al. Falls when standing, falls when walking: Different mechanisms, different outcomes in Parkinson disease. Cureus 11, e5329 (2019).","journal-title":"Cureus"},{"key":"81115_CR7","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.1007\/s00702-015-1396-2","volume":"122","author":"O Rascol","year":"2015","unstructured":"Rascol, O. et al. Falls in ambulatory non-demented patients with Parkinson\u2019s disease. J. Neural. Transm. 122, 1447\u20131455 (2015).","journal-title":"J. Neural. Transm."},{"key":"81115_CR8","first-page":"2","volume":"11","author":"SM Manemann","year":"2018","unstructured":"Manemann, S. M. et al. Fall risk and outcomes among patients hospitalized with cardiovascular disease in the community. Circulation 11, 2 (2018).","journal-title":"Circulation"},{"key":"81115_CR9","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1007\/s40520-019-01282-8","volume":"31","author":"W Xia","year":"2019","unstructured":"Xia, W. et al. East meets West: Current practices and policies in the management of musculoskeletal aging. Aging Clin. Exp. Res. 31, 1351\u20131373 (2019).","journal-title":"Aging Clin. Exp. Res."},{"key":"81115_CR10","first-page":"17","volume":"112","author":"M Fraix","year":"2012","unstructured":"Fraix, M. Role of the musculoskeletal system and the prevention of falls. J. Am. Osteopath. Assoc. 112, 17\u201321 (2012).","journal-title":"J. Am. Osteopath. Assoc."},{"key":"81115_CR11","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1111\/j.1365-2125.2010.03613.x","volume":"69","author":"H Shuto","year":"2010","unstructured":"Shuto, H. et al. Medication use as a risk factor for inpatient falls in an acute care hospital: A case-crossover study. Br. J. Clin. Pharmacol. 69, 535\u2013542 (2010).","journal-title":"Br. J. Clin. Pharmacol."},{"key":"81115_CR12","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1016\/j.otc.2018.03.003","volume":"51","author":"JC Alyono","year":"2018","unstructured":"Alyono, J. C. Vertigo and dizziness: Understanding and managing fall risk. Otolaryngol. Clin. N. Am. 51, 725\u2013740 (2018).","journal-title":"Otolaryngol. Clin. N. Am."},{"key":"81115_CR13","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1093\/ajh\/hpw108","volume":"30","author":"SP Juraschek","year":"2017","unstructured":"Juraschek, S. P. et al. Orthostatic hypotension in middle-age and risk of falls. Am. J. Hypertens. 30, 188\u2013195 (2017).","journal-title":"Am. J. Hypertens."},{"key":"81115_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s00702-017-1791-y","author":"S Eschlb\u00f6ck","year":"2017","unstructured":"Eschlb\u00f6ck, S., Wenning, G. & Fanciulli, A. Evidence-based treatment of neurogenic orthostatic hypotension and related symptoms. J. Neural Transm. https:\/\/doi.org\/10.1007\/s00702-017-1791-y (2017).","journal-title":"J. Neural Transm."},{"key":"81115_CR15","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1002\/acr.23725","volume":"71","author":"KE Barbour","year":"2019","unstructured":"Barbour, K. E. et al. Knee osteoarthritis and the risk of medically treated injurious falls among older adults: A community-based US cohort study. Arthritis Care Res. 71, 865\u2013874 (2019).","journal-title":"Arthritis Care Res."},{"key":"81115_CR16","first-page":"143","volume":"82","author":"K Jahn","year":"2019","unstructured":"Jahn, K. The aging vestibular system: Dizziness and imbalance in the elderly. Adv. Otorhinolaryngol. 82, 143\u2013149 (2019).","journal-title":"Adv. Otorhinolaryngol."},{"key":"81115_CR17","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1111\/j.1467-842X.1999.tb01203.x","volume":"23","author":"K Hill","year":"1999","unstructured":"Hill, K., Schwarz, J., Flicker, L. & Carroll, S. Falls among healthy, community-dwelling, older women: A prospective study of frequency, circumstances, consequences and prediction accuracy. Aust. N. Z. J. Public Health 23, 41\u201348 (1999).","journal-title":"Aust. N. Z. J. Public Health"},{"key":"81115_CR18","doi-asserted-by":"publisher","first-page":"1701","DOI":"10.1056\/NEJM198812293192604","volume":"319","author":"ME Tinetti","year":"1988","unstructured":"Tinetti, M. E., Speechley, M. & Ginter, S. F. Risk factors for falls among elderly persons living in the community. N. Engl. J. Med. 319, 1701\u20131707 (1988).","journal-title":"N. Engl. J. Med."},{"key":"81115_CR19","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/1471-2458-5-86","volume":"5","author":"LA Talbot","year":"2005","unstructured":"Talbot, L. A., Musiol, R. J., Witham, E. R. & Metter, E. J. Falls in young, middle-aged and older community dwelling adults: Perceived cause, environmental factors and injury. BMC Public Health 5, 86 (2005).","journal-title":"BMC Public Health"},{"key":"81115_CR20","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1542\/peds.2012-2610","volume":"131","author":"JM Stewart","year":"2013","unstructured":"Stewart, J. M. Common syndromes of orthostatic intolerance. Pediatrics 131, 968\u2013980 (2013).","journal-title":"Pediatrics"},{"key":"81115_CR21","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/s10072-018-3697-3","volume":"40","author":"O Cengiz","year":"2019","unstructured":"Cengiz, O. Impact of seizure-related injuries on quality of life. Neurol. Sci. 40, 577\u2013583 (2019).","journal-title":"Neurol. Sci."},{"key":"81115_CR22","first-page":"e3145","volume":"27","author":"LA Lorca","year":"2019","unstructured":"Lorca, L. A. et al. Incidence and risk of falls in patients treated for hematologic malignancies in the intensive hematology unit. Revista latino-americana de enfermagem 27, e3145 (2019).","journal-title":"Revista latino-americana de enfermagem"},{"key":"81115_CR23","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1097\/NMC.0000000000000064","volume":"39","author":"D Brewin","year":"2014","unstructured":"Brewin, D. & Naninni, A. Women\u2019s perspectives on falls and fall prevention during pregnancy. Am. J. Maternal Child Nurs. 39, 300\u2013305 (2014).","journal-title":"Am. J. Maternal Child Nurs."},{"key":"81115_CR24","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.jsr.2019.06.003","volume":"70","author":"J Haarbauer-Krupa","year":"2019","unstructured":"Haarbauer-Krupa, J. et al. Fall-related traumatic brain injury in children ages 0\u20134 years. J. Saf. Res. 70, 127\u2013133 (2019).","journal-title":"J. Saf. Res."},{"key":"81115_CR25","doi-asserted-by":"publisher","first-page":"70","DOI":"10.5539\/gjhs.v6n5p70","volume":"6","author":"S Toyabe","year":"2014","unstructured":"Toyabe, S. Development of a risk assessment tool to predict fall-related severe injuries occurring in a hospital. Glob. J. Health Sci. 6, 70\u201380 (2014).","journal-title":"Glob. J. Health Sci."},{"key":"81115_CR26","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.ijdevneu.2011.10.007","volume":"30","author":"NG Ibrahim","year":"2012","unstructured":"Ibrahim, N. G., Wood, J., Margulies, S. S. & Christian, C. W. Influence of age and fall type on head injuries in infants and toddlers. Int. J. Dev. Neurosci. 30, 201\u2013206 (2012).","journal-title":"Int. J. Dev. Neurosci."},{"key":"81115_CR27","unstructured":"Chung, K.C., Yang, L. & McGillicuddy, J. Practical Management of Pediatric and Adult Brachial Plexus Palsies (Saunders, 2012)."},{"key":"81115_CR28","unstructured":"Falls Data. Centers for Disease Control and Prevention. https:\/\/www.cdc.gov\/homeandrecreationalsafety\/falls\/fallcost.html (2019)."},{"key":"81115_CR29","doi-asserted-by":"publisher","first-page":"1613","DOI":"10.3390\/s18051613","volume":"18","author":"R Rucco","year":"2018","unstructured":"Rucco, R. et al. Type and location of wearable sensors for monitoring falls during static and dynamic tasks in Healthy Elderly: A review. Sensors 18, 1613 (2018).","journal-title":"Sensors"},{"key":"81115_CR30","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/1743-0003-2-2","volume":"2","author":"P Bonato","year":"2005","unstructured":"Bonato, P. Advances in wearable technology and applications in physical medicine and rehabilitation. J. NeuroEng. Rehab. 2, 2 (2005).","journal-title":"J. NeuroEng. Rehab."},{"key":"81115_CR31","doi-asserted-by":"publisher","first-page":"4193","DOI":"10.3390\/s150204193","volume":"15","author":"KH Chen","year":"2015","unstructured":"Chen, K. H., Chen, P. C., Liu, K. C. & Chan, C. T. Wearable sensor-based rehabilitation exercise assessment for knee osteoarthritis. Sensors 15, 4193\u20134211 (2015).","journal-title":"Sensors"},{"key":"81115_CR32","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1109\/TBME.2012.2186449","volume":"59","author":"Y Li","year":"2012","unstructured":"Li, Y., Ho, K. C. & Popescu, M. A microphone array system for automatic fall detection. IEEE Trans. Biomed. Eng. 59, 1291\u20131301 (2012).","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"81115_CR33","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MPRV.2016.27","volume":"15","author":"G Feng","year":"2016","unstructured":"Feng, G., Mai, J., Ban, Z., Guo, X. & Wang, G. Floor pressure imaging for fall detection with fiber-optic sensors. IEEE Pervasive Comput. 15, 40\u201347 (2016).","journal-title":"IEEE Pervasive Comput."},{"key":"81115_CR34","doi-asserted-by":"publisher","unstructured":"Chen, W.H. & Ma, H.P. A fall detection system based on infrared array sensors with tracking capability for the elderly at home. 17th International Conference on E-health Networking, Application & Services DOI: https:\/\/doi.org\/10.1109\/HealthCom.2015.7454538 (2015).","DOI":"10.1109\/HealthCom.2015.7454538"},{"key":"81115_CR35","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1109\/JSEN.2017.2761500","volume":"17","author":"A Danielsen","year":"2017","unstructured":"Danielsen, A. & Torresen, J. Recognizing bedside events using thermal and ultrasonic readings. Sensors. 17, 2 (2017).","journal-title":"Sensors."},{"key":"81115_CR36","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1109\/TITB.2010.2051956","volume":"14","author":"H Rimminen","year":"2010","unstructured":"Rimminen, H., Lindstr\u00f6m, J., Linnavuo, M. & Sepponen, R. Detection of falls among the elderly by a floor sensor using the electric near field. IEEE Trans. Inf. Technol. Biomed. 14, 1475\u20131476 (2010).","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"81115_CR37","first-page":"1","volume":"2","author":"S Maheshwari","year":"2015","unstructured":"Maheshwari, S. & Tiwari, A. Ubiquitous fall detection through wireless channel state information. CoCoNet 2, 1\u20139 (2015).","journal-title":"CoCoNet"},{"key":"81115_CR38","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1109\/TITB.2010.2087385","volume":"15","author":"E Auvinet","year":"2011","unstructured":"Auvinet, E., Multon, F., Saint-Arnaud, A., Rousseau, J. & Meunier, J. Fall detection with multiple cameras: An occlusion-resistant method based on 3-D silhouette vertical distribution. IEEE Trans. Inf. Technol. Biomed. 15, 290\u2013300 (2011).","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"81115_CR39","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.cviu.2008.07.006","volume":"113","author":"D Anderson","year":"2009","unstructured":"Anderson, D. et al. Linguistic summarization of video for fall detection using voxel person and fuzzy logic. Comput. Vis. Image Underst. 113, 80\u201389 (2009).","journal-title":"Comput. Vis. Image Underst."},{"key":"81115_CR40","doi-asserted-by":"publisher","first-page":"974","DOI":"10.1109\/TITB.2012.2208757","volume":"16","author":"D Brulin","year":"2012","unstructured":"Brulin, D., Benezeth, Y. & Courtial, E. Posture recognition based on fuzzy logic for home monitoring of the elderly. IEEE Trans. Inf. Technol. Biomed. 16, 974\u2013982 (2012).","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"81115_CR41","doi-asserted-by":"publisher","unstructured":"Viola, P. & Jones, M. Rapid object detection using a boosted cascade of simple features. In Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. doi: https:\/\/doi.org\/10.1109\/CVPR.2001.990517 (2001).","DOI":"10.1109\/CVPR.2001.990517"},{"key":"81115_CR42","volume-title":"3-D Human Modeling and Animation","author":"P Ratner","year":"2003","unstructured":"Ratner, P. 3-D Human Modeling and Animation (John Wiley & Sons Inc, New York, 2003)."},{"key":"81115_CR43","doi-asserted-by":"crossref","unstructured":"Feng, P., Yu, M,, Naqvi, S.M., Chambers, J.A. Deep learning for posture analysis in fall detection. 19th International Conference on Digital Signal Processing. Proceedings at https:\/\/udrc.eng.ed.ac.uk\/sites\/udrc.eng.ed.ac.uk\/files\/attachments\/freestyle-page\/20160607\/WP3_PUB2.pdf (2014).","DOI":"10.1109\/ICDSP.2014.6900806"},{"key":"81115_CR44","unstructured":"Our Impact. SpeedyAI, Inc. https:\/\/www.speedyai.com\/our-impact (2020)."},{"key":"81115_CR45","doi-asserted-by":"publisher","first-page":"2864","DOI":"10.3390\/s17122864","volume":"17","author":"K De Miguel","year":"2017","unstructured":"De Miguel, K., Brunete, A., Hernando, M. & Gambao, E. Home camera-based fall detection system for the elderly. Sensors. 17, 2864 (2017).","journal-title":"Sensors."},{"key":"81115_CR46","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.dcan.2015.12.001","volume":"2","author":"L Yang","year":"2016","unstructured":"Yang, L., Ren, Y. & Zhang, W. 3D depth image analysis for indoor fall detection of elderly people. Dig. Commun. Netw. 2, 24\u201334 (2016).","journal-title":"Dig. Commun. Netw."},{"key":"81115_CR47","doi-asserted-by":"publisher","DOI":"10.1145\/2769493.2769540","author":"Z Zhang","year":"2015","unstructured":"Zhang, Z., Conly, C. & Athitsos, V. A survey on vision-based fall detection. PETRA https:\/\/doi.org\/10.1145\/2769493.2769540 (2015).","journal-title":"PETRA"},{"key":"81115_CR48","doi-asserted-by":"publisher","first-page":"847","DOI":"10.4065\/80.7.847","volume":"80","author":"A Tencer","year":"2005","unstructured":"Tencer, A. Biomechanics of falling. Mayo Clin. Proc. 80, 847\u2013848 (2005).","journal-title":"Mayo Clin. Proc."},{"key":"81115_CR49","volume-title":"Biomechanics of Human Gait\u2014Slip and Fall Analysis Encyclopedia of Forensic Sciences","author":"TE Lockhart","year":"2013","unstructured":"Lockhart, T. E. Biomechanics of Human Gait\u2014Slip and Fall Analysis Encyclopedia of Forensic Sciences (Elsevier, Amsterdam, 2013)."},{"key":"81115_CR50","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1097\/PHM.0b013e31802ee1d1","volume":"86","author":"TK DeMott","year":"2007","unstructured":"DeMott, T. K., Richardson, J. K., Thies, S. B. & Ashton-Miller, J. A. Falls and gait characteristics among older persons with peripheral neuropathy. Am. J. Phys. Med. Rehabil. 86, 125\u2013132 (2007).","journal-title":"Am. J. Phys. Med. Rehabil."},{"key":"81115_CR51","doi-asserted-by":"publisher","first-page":"1883","DOI":"10.1093\/eurheartj\/ehy037","volume":"39","author":"M Brignole","year":"2018","unstructured":"Brignole, M. et al. ESC guidelines for the diagnosis and management of syncope. Eur. Heart J. 39, 1883\u20131948 (2018).","journal-title":"Eur. Heart J."},{"key":"81115_CR52","unstructured":"Redmon, J. & Farhadi. YOLO: real-time object detection. https:\/\/pjreddie.com\/darknet\/yolo\/ (2020)."},{"key":"81115_CR53","unstructured":"Redmon, J. & Farhadi, A. YOLOv3: an incremental improvement. arXiv. https:\/\/arxiv.org\/abs\/1804.02767 (2018)."},{"key":"81115_CR54","first-page":"211","volume":"1","author":"ME Tipping","year":"2001","unstructured":"Tipping, M. E. Sparse Bayesian learning and the relevance vector machine. J. Mach. Learn. Res. 1, 211\u2013244 (2001).","journal-title":"J. Mach. Learn. Res."},{"key":"81115_CR55","unstructured":"Krizhevsky, A., Sutskever, I. & Hinton, G. Imagenet classification with deep convolutional neural networks. http:\/\/papers.nips.cc\/paper\/4824-imagenet-classification-with-deep-convolutional-neural-networ (2012)."},{"key":"81115_CR56","volume-title":"Advances in Large Margin Classifiers","author":"JC Platt","year":"1999","unstructured":"Platt, J. C. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in Large Margin Classifiers (MIT Press, Cambridge, 1999)."},{"key":"81115_CR57","doi-asserted-by":"crossref","unstructured":"Dalal, N. & Triggs, B. Histograms of oriented gradients for human detection. International Conference on Computer Vision & Pattern Recognition 886\u2013893 (2005).","DOI":"10.1109\/CVPR.2005.177"},{"key":"81115_CR58","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The elements of statistical learning: Data mining, inference, and prediction","author":"T Hastie","year":"2009","unstructured":"Hastie, T., Tibshirani, R. & Friedman, J. The elements of statistical learning: Data mining, inference, and prediction (Springer, Berlin, 2009)."},{"key":"81115_CR59","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/8291.001.0001","volume-title":"Boosting","author":"RE Schapire","year":"2012","unstructured":"Schapire, R. E. & Freund, Y. Boosting (MIT Press, Cambridge, 2012)."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-81115-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-81115-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-81115-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T03:24:42Z","timestamp":1724383482000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-81115-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,28]]},"references-count":59,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["81115"],"URL":"https:\/\/doi.org\/10.1038\/s41598-021-81115-9","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,28]]},"assertion":[{"value":"7 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"2471"}}