{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T04:12:27Z","timestamp":1776226347116,"version":"3.50.1"},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["2024T3027"],"award-info":[{"award-number":["2024T3027"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["2024T3063"],"award-info":[{"award-number":["2024T3063"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["2024T3020"],"award-info":[{"award-number":["2024T3020"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["2024T3058"],"award-info":[{"award-number":["2024T3058"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.bspc.2026.110200","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T16:06:56Z","timestamp":1774973216000},"page":"110200","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["ShuffleNet-AGWO-ALM: Smart insoles-based body weight estimation via ShuffleNet with AGWO and ALM strategies"],"prefix":"10.1016","volume":"120","author":[{"given":"Houde","family":"Dai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zetian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liqi","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haijun","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuke","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.bspc.2026.110200_b1","doi-asserted-by":"crossref","first-page":"419S","DOI":"10.1093\/ajcn\/63.3.419","article-title":"Effect of weight on cardiovascular disease","volume":"63","author":"Kannel","year":"1996","journal-title":"Am. J. Clin. Nutr."},{"key":"10.1016\/j.bspc.2026.110200_b2","doi-asserted-by":"crossref","DOI":"10.12688\/f1000research.14151.1","article-title":"Recent advances in understanding body weight homeostasis in humans","volume":"7","author":"M\u00fcller","year":"2018","journal-title":"F1000Research"},{"issue":"3","key":"10.1016\/j.bspc.2026.110200_b3","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1000045","article-title":"The dynamics of human body weight change","volume":"4","author":"Chow","year":"2008","journal-title":"PLoS Comput. Biol."},{"issue":"5","key":"10.1016\/j.bspc.2026.110200_b4","doi-asserted-by":"crossref","first-page":"e418","DOI":"10.1161\/STROKEAHA.109.576967","article-title":"Excess body weight and incidence of stroke: meta-analysis of prospective studies with 2 million participants","volume":"41","author":"Strazzullo","year":"2010","journal-title":"Stroke"},{"issue":"1","key":"10.1016\/j.bspc.2026.110200_b5","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1007\/s12325-018-0824-8","article-title":"Body weight considerations in the management of type 2 diabetes","volume":"36","author":"Apovian","year":"2019","journal-title":"Adv. Ther."},{"issue":"14","key":"10.1016\/j.bspc.2026.110200_b6","doi-asserted-by":"crossref","first-page":"1332","DOI":"10.1056\/NEJMoa1606148","article-title":"Body-weight fluctuations and outcomes in coronary disease","volume":"376","author":"Bangalore","year":"2017","journal-title":"N. Engl. J. Med."},{"issue":"5","key":"10.1016\/j.bspc.2026.110200_b7","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1016\/j.kint.2016.12.013","article-title":"A systematic review and meta-analysis suggests obesity predicts onset of chronic kidney disease in the general population","volume":"91","author":"Garofalo","year":"2017","journal-title":"Kidney Int."},{"key":"10.1016\/j.bspc.2026.110200_b8","doi-asserted-by":"crossref","first-page":"249","DOI":"10.2165\/00007256-199418040-00004","article-title":"Effects of bodyweight reduction on sports performance","volume":"18","author":"Fogelholm","year":"1994","journal-title":"Sports Med."},{"issue":"2","key":"10.1016\/j.bspc.2026.110200_b9","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1097\/JSM.0b013e31815cdd37","article-title":"Athletic performance and serial weight changes during 12-and 24-hour ultra-marathons","volume":"18","author":"Kao","year":"2008","journal-title":"Clin. J. Sport. Med."},{"issue":"Suppl 1","key":"10.1016\/j.bspc.2026.110200_b10","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/s40279-015-0401-0","article-title":"Weight management for athletes and active individuals: a brief review","volume":"45","author":"Manore","year":"2015","journal-title":"Sports Med."},{"key":"10.1016\/j.bspc.2026.110200_b11","series-title":"Overweight and Obesity","author":"Organization","year":"2020"},{"issue":"4","key":"10.1016\/j.bspc.2026.110200_b12","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/S2213-8587(22)00033-X","article-title":"Body-mass index and risk of obesity-related complex multimorbidity: an observational multicohort study","volume":"10","author":"Kivim\u00e4ki","year":"2022","journal-title":"Lancet Diabetes Endocrinol."},{"issue":"6","key":"10.1016\/j.bspc.2026.110200_b13","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1002053","article-title":"Obesity and multiple sclerosis: a mendelian randomization study","volume":"13","author":"Mokry","year":"2016","journal-title":"PLoS Med."},{"issue":"3","key":"10.1016\/j.bspc.2026.110200_b14","doi-asserted-by":"crossref","first-page":"S33","DOI":"10.1038\/sj.ejcn.1601023","article-title":"Body weight and weight change and their health implications for the elderly","volume":"54","author":"Seidell","year":"2000","journal-title":"Eur. J. Clin. Nutr."},{"issue":"7","key":"10.1016\/j.bspc.2026.110200_b15","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/S0268-0033(03)00116-5","article-title":"Techniques for measuring weight bearing during standing and walking","volume":"18","author":"Hurkmans","year":"2003","journal-title":"Clin. Biomech."},{"key":"10.1016\/j.bspc.2026.110200_b16","series-title":"Mechanical Variables Measurement-Solid, Fluid, and Thermal","first-page":"1","article-title":"Mass and weight measurement","author":"Fritz","year":"2023"},{"key":"10.1016\/j.bspc.2026.110200_b17","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.procs.2015.08.475","article-title":"Wearable weight estimation system","volume":"64","author":"Hellstrom","year":"2015","journal-title":"Procedia Comput. Sci."},{"key":"10.1016\/j.bspc.2026.110200_b18","series-title":"2019 Symposium on Design, Test, Integration & Packaging of MEMS and MOEMS","first-page":"1","article-title":"Piezoresistive sensor array design for shoe-integrated continuous body weight and gait measurement","author":"Muzaffar","year":"2019"},{"issue":"18","key":"10.1016\/j.bspc.2026.110200_b19","doi-asserted-by":"crossref","first-page":"10886","DOI":"10.1109\/JSEN.2020.2994129","article-title":"Self-synchronized, continuous body weight monitoring using flexible force sensors and ground reaction force signal processing","volume":"20","author":"Muzaffar","year":"2020","journal-title":"IEEE Sens. J."},{"issue":"18","key":"10.1016\/j.bspc.2026.110200_b20","doi-asserted-by":"crossref","first-page":"16121","DOI":"10.1109\/JIOT.2023.3267335","article-title":"Multitask deep learning for human activity, speed, and body weight estimation using commercial smart insoles","volume":"10","author":"Kim","year":"2023","journal-title":"IEEE Internet Things J."},{"issue":"17","key":"10.1016\/j.bspc.2026.110200_b21","doi-asserted-by":"crossref","first-page":"7418","DOI":"10.3390\/s23177418","article-title":"An individualized machine learning approach for human body weight estimation using smart shoe insoles","volume":"23","author":"Sanghavi","year":"2023","journal-title":"Sensors"},{"issue":"6","key":"10.1016\/j.bspc.2026.110200_b22","doi-asserted-by":"crossref","first-page":"2281","DOI":"10.1109\/TII.2016.2585643","article-title":"Smart insole: A wearable sensor device for unobtrusive gait monitoring in daily life","volume":"12","author":"Lin","year":"2016","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.bspc.2026.110200_b23","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.eswa.2017.11.024","article-title":"Design and evaluation of a smart insole: Application for continuous monitoring of frail people at home","volume":"95","author":"Charlon","year":"2018","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.bspc.2026.110200_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.smhl.2022.100301","article-title":"Smart insoles review (2008\u20132021): Applications, potentials, and future","volume":"25","author":"Almuteb","year":"2022","journal-title":"Smart Health"},{"key":"10.1016\/j.bspc.2026.110200_b25","series-title":"2018 International Conference on Smart Communications and Networking","first-page":"1","article-title":"A survey on smart shoe insole systems","author":"Saidani","year":"2018"},{"issue":"1","key":"10.1016\/j.bspc.2026.110200_b26","doi-asserted-by":"crossref","first-page":"3033","DOI":"10.1038\/s41467-019-10911-9","article-title":"Field and lab experimental demonstration of nonlinear impairment compensation using neural networks","volume":"10","author":"Zhang","year":"2019","journal-title":"Nat. Commun."},{"key":"10.1016\/j.bspc.2026.110200_b27","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1017\/S0962492921000027","article-title":"Deep learning: a statistical viewpoint","volume":"30","author":"Bartlett","year":"2021","journal-title":"Acta Numer."},{"issue":"1","key":"10.1016\/j.bspc.2026.110200_b28","doi-asserted-by":"crossref","first-page":"11237","DOI":"10.1038\/s41598-023-38290-8","article-title":"Deep learning framework for sensor array precision and accuracy enhancement","volume":"13","author":"Payette","year":"2023","journal-title":"Sci. Rep."},{"key":"10.1016\/j.bspc.2026.110200_b29","doi-asserted-by":"crossref","first-page":"17322","DOI":"10.1109\/ACCESS.2017.2742698","article-title":"Fault and error tolerance in neural networks: A review","volume":"5","author":"Torres-Huitzil","year":"2017","journal-title":"IEEE Access"},{"issue":"7","key":"10.1016\/j.bspc.2026.110200_b30","doi-asserted-by":"crossref","first-page":"3645","DOI":"10.3390\/app12073645","article-title":"Towards improved inertial navigation by reducing errors using deep learning methodology","volume":"12","author":"Chen","year":"2022","journal-title":"Appl. Sci."},{"key":"10.1016\/j.bspc.2026.110200_b31","article-title":"Transient noise reduction using a deep recurrent neural network: Effects on subjective speech intelligibility and listening comfort","volume":"25","author":"Keshavarzi","year":"2021","journal-title":"Trends Hear."},{"issue":"3","key":"10.1016\/j.bspc.2026.110200_b32","doi-asserted-by":"crossref","first-page":"3442","DOI":"10.1021\/acsnano.2c00308","article-title":"Soft capacitive pressure sensors: trends, challenges, and perspectives","volume":"16","author":"Ha","year":"2022","journal-title":"ACS Nano"},{"key":"10.1016\/j.bspc.2026.110200_b33","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","article-title":"Grey wolf optimizer","volume":"69","author":"Mirjalili","year":"2014","journal-title":"Adv. Eng. Softw."},{"key":"10.1016\/j.bspc.2026.110200_b34","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.114676","article-title":"AGWO: Advanced GWO in multi-layer perception optimization","volume":"173","author":"Meng","year":"2021","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"10.1016\/j.bspc.2026.110200_b35","doi-asserted-by":"crossref","first-page":"1365","DOI":"10.1007\/s10107-022-01870-z","article-title":"An augmented Lagrangian method for optimization problems with structured geometric constraints","volume":"199","author":"Jia","year":"2023","journal-title":"Math. Program."},{"issue":"7","key":"10.1016\/j.bspc.2026.110200_b36","doi-asserted-by":"crossref","first-page":"2861","DOI":"10.1109\/TAC.2018.2867589","article-title":"The proximal augmented Lagrangian method for nonsmooth composite optimization","volume":"64","author":"Dhingra","year":"2018","journal-title":"IEEE Trans. Autom. Control"},{"key":"10.1016\/j.bspc.2026.110200_b37","doi-asserted-by":"crossref","unstructured":"X. Zhang, X. Zhou, M. Lin, J. Sun, Shufflenet: An extremely efficient convolutional neural network for mobile devices, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 6848\u20136856.","DOI":"10.1109\/CVPR.2018.00716"},{"key":"10.1016\/j.bspc.2026.110200_b38","doi-asserted-by":"crossref","unstructured":"N. Ma, X. Zhang, H.-T. Zheng, J. Sun, Shufflenet v2: Practical guidelines for efficient cnn architecture design, in: Proceedings of the European Conference on Computer Vision, ECCV, 2018, pp. 116\u2013131.","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"10.1016\/j.bspc.2026.110200_b39","doi-asserted-by":"crossref","DOI":"10.1016\/j.resconrec.2021.106090","article-title":"Garbage classification system based on improved ShuffleNet v2","volume":"178","author":"Chen","year":"2022","journal-title":"Resour. Conserv. Recycl."},{"key":"10.1016\/j.bspc.2026.110200_b40","doi-asserted-by":"crossref","first-page":"111842","DOI":"10.1109\/ACCESS.2022.3215665","article-title":"Lightweight shufflenet based cnn for arrhythmia classification","volume":"10","author":"Tesfai","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.bspc.2026.110200_b41","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2024.108162","article-title":"Analysis of gait pattern related to high cerebral small vessel disease burden using quantitative gait data from wearable sensors","volume":"250","author":"Xu","year":"2024","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.bspc.2026.110200_b42","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2024.108254","article-title":"AiCarePWP: Deep learning-based novel research for freezing of gait forecasting in Parkinson","volume":"254","author":"Ghayvat","year":"2024","journal-title":"Comput. Methods Programs Biomed."}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426007548?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426007548?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T03:29:37Z","timestamp":1776223777000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426007548"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":42,"alternative-id":["S1746809426007548"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110200","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ShuffleNet-AGWO-ALM: Smart insoles-based body weight estimation via ShuffleNet with AGWO and ALM strategies","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110200","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110200"}}