{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T17:53:32Z","timestamp":1774634012800,"version":"3.50.1"},"reference-count":161,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Spanish projects","award":["PID2020-120491RA-I00"],"award-info":[{"award-number":["PID2020-120491RA-I00"]}]},{"name":"MCIN\/AEI","award":["10.13039\/501100011033"],"award-info":[{"award-number":["10.13039\/501100011033"]}]},{"name":"AI for Healthy Aging","award":["MIA.2021.M02.0007"],"award-info":[{"award-number":["MIA.2021.M02.0007"]}]},{"name":"Ministry of Economic Affairs and Digital Transformation"},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1109\/jbhi.2023.3311677","type":"journal-article","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T18:10:18Z","timestamp":1693851018000},"page":"1716-1729","source":"Crossref","is-referenced-by-count":16,"title":["Human Locomotion Databases: A Systematic Review"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0139-1261","authenticated-orcid":false,"given":"Pinto-Fern\u00e1ndez","family":"David","sequence":"first","affiliation":[{"name":"Neural Rehabilitation Group, Cajal Institute, Spanish Research Council, Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9503-8508","authenticated-orcid":false,"given":"Rodriguez-Cianca","family":"David","sequence":"additional","affiliation":[{"name":"Neural Rehabilitation Group, Cajal Institute, Spanish Research Council, Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9561-7764","authenticated-orcid":false,"given":"Moreno Juan","family":"C.","sequence":"additional","affiliation":[{"name":"Neural Rehabilitation Group, Cajal Institute, Spanish Research Council, Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8767-3395","authenticated-orcid":false,"given":"Torricelli","family":"Diego","sequence":"additional","affiliation":[{"name":"Neural Rehabilitation Group, Cajal Institute, Spanish Research Council, Madrid, Spain"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2014.10.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407821"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0223792"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1377\/hlthaff.2014.0053"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMp1606181"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3109\/03093647909164693"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2005.845241"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/5978489"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906693"},{"issue":"2","key":"ref10","first-page":"609","article-title":"Classification of human gait acceleration data using convolutional neural networks","volume":"16","author":"Kreuter","year":"2020","journal-title":"Int. J. Innov. Comput., Inf. Control"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3233\/faia210196"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.27.5.051218"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.497"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00029"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/s12920-015-0108-y"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-56414-2_3"},{"key":"ref17","article-title":"The CMU motion of body (MoBo) database"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45240-9_46"},{"key":"ref19","article-title":"Southampton HID"},{"key":"ref20","article-title":"CASIA- Chinese Academy os Sciences"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1251144"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2011.6115889"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.478"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.008"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383505"},{"key":"ref26","article-title":"OUISIR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2197\/ipsjtcva.4.53"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2204253"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.323"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1186\/s41074-017-0035-2"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/s41074-018-0041-z"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1186\/s41074-018-0039-6"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2020.3008862"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.06.028"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.10.012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-73013-4_12"},{"key":"ref37","article-title":"HuGaDB school of data analysis and artificial intelligence, HSE"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2016.09.023"},{"key":"ref39","article-title":"MAREA (Movement analysis in real-world environments using accelerometers) gait database - Halmstad University"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-017-0942-2"},{"key":"ref41","article-title":"GestuRe and action exemplar (GRACE) - University of Warwick"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.12.253"},{"key":"ref43","article-title":"MOCAP-ULL database - University of La Laguna"},{"key":"ref44","volume-title":"Dynamics of Human Gait","author":"Vaughan","year":"1992"},{"key":"ref45","article-title":"GAITLAB - internatioonal society of biomechanics"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2015.7363534"},{"key":"ref47","article-title":"Human motion dynamics (HuMoD) - technische universitat darmstadt"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354067"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/iros.2015.7354067"},{"key":"ref50","article-title":"Physiobank"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3490235"},{"key":"ref52","article-title":"HID-UMD - University of Maryland"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0273-6"},{"key":"ref54","article-title":"HumanEva-Brown University"},{"key":"ref55","first-page":"99","article-title":"Gait recognition in the presence of occlusion: A. new dataset and baseline algorithms","volume-title":"Proc. 19th Int. Conf. Comput. Graph., Vis. Comput. Vis.","author":"Hofmann","year":"2011"},{"key":"ref56","article-title":"TUM-IITKPG database - Technical University of Munich"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13323-2_3"},{"key":"ref58","article-title":"AVAMVG - Universidad de Cordoba"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR.2015.7251476"},{"key":"ref60","article-title":"The KIT whole-body human motion database - Karlsruhe Institute of Technology (KIT), Germany"},{"key":"ref61","article-title":"AIST gait database - National Research Institute in Japan","author":"Kobayashi"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.ypmed.2021.106862"},{"key":"ref63","article-title":"ICAD - international childrens accelerometry database","year":"2017"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-00881-3"},{"key":"ref65","article-title":"Lower limb kinematic, kinetic, and EMG data during walking motion under controlled speeds","author":"Moreira","year":"2021"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0124-4"},{"key":"ref67","article-title":"A multimodal dataset of human gait at different walking speeds established on injury-free adult participants","author":"Moissenet","year":"2020"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2021.110320"},{"key":"ref69","article-title":"EPIC lab locomotion database","year":"2021"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3057877"},{"key":"ref71","article-title":"Human leg kinematics, kinetics, and EMG during phase-shifting perturbations at varying inclines","author":"Macaluso","year":"2022"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0323-z"},{"key":"ref73","article-title":"Human kinematic, kinetic and EMG data during level walking, toe\/heel-walking, stairs ascending\/descending","author":"Lencioni","year":"2019"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2879570"},{"key":"ref75","article-title":"The effect of walking incline and speed on human leg kinematics, kinetics and EMG","author":"Embry","year":"2019"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2017.09.022"},{"key":"ref77","article-title":"CAMS-Knee","year":"2019"},{"key":"ref78","article-title":"Multi modal motion capture library"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-8483-7_7"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1145\/2492494.2492500"},{"key":"ref81","first-page":"119","article-title":"A data-driven appearance model for human fatigue","volume-title":"Proc. Eurograph.\/ ACM SIGGRAPH Symp. Comput. Animation","author":"Joseph","year":"2011"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-00627-7"},{"key":"ref83","article-title":"Normative data","author":"Liang","year":"2020"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0494-7"},{"key":"ref85","article-title":"Lower limb kinetic and kinematic data of 18 above knee amputees","author":"Hood","year":"2020"},{"key":"ref86","article-title":"Assessing safe locomotion with exoskeletons in realistic scenarios (SALOEXO)","author":"Pinto-Fernndez","year":"2020"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.4640"},{"key":"ref88","article-title":"A public data set of overground and treadmill walking kinematics and kinetics of healthy individuals","author":"Fukuchi","year":"2018"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.3298"},{"key":"ref90","article-title":"A public data set of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics","author":"Fukuchi","year":"2017"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2018.00127"},{"key":"ref92","doi-asserted-by":"crossref","DOI":"10.3389\/frobt.2018.00014","article-title":"Benchmark datasets for bilateral lower limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals","author":"Hu","year":"2018"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-54271-2"},{"key":"ref94","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-019-54271-2","article-title":"Mechanics of very slow human walking","author":"Wu","year":"2019"},{"key":"ref95","article-title":"SFU motion capture database"},{"key":"ref96","article-title":"Documentation mocap database HDM5","author":"Muller","year":"2007"},{"key":"ref97","article-title":"Mocap database HDM05","author":"Mller","year":"2005"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1145\/3077981.3078037"},{"key":"ref99","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2018.05.088","article-title":"UMONS-TAICHI: A multimodal motion capture dataset of expertise in Taijiquan gestures","author":"Tits","year":"2018"},{"key":"ref100","article-title":"Cologne motion capture database","year":"2014"},{"key":"ref101","article-title":"Dataset for gait analysis and assessment of fall risk for older adults","author":"Rengifo","year":"2020"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0563-y"},{"key":"ref103","doi-asserted-by":"crossref","DOI":"10.1038\/s41597-020-0563-y","article-title":"A database of human gait performance on irregular and uneven surfaces collected by wearable sensors","author":"Luo","year":"2020"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0481-z"},{"key":"ref105","article-title":"GaitRec: A large-scale ground reaction force dataset of healthy and impaired gait","author":"Brian","year":"2020"},{"key":"ref106","article-title":"Dataset of human subjects walking on a treadmill while being perturbed at random intervals by cables attached at their waist","author":"Joshi","year":"2019"},{"key":"ref107","article-title":"A dataset of overground walking full-body kinematics and kinetics in individuals with Parkinsons disease","author":"Boari","year":"2021"},{"key":"ref108","article-title":"Dataset of gait analysis data of hip osteoarthritis patients before and 6 month after arthroplasty and asymptomatic volunteers","author":"Laroche","year":"2021"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-01014-6"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2016.07.073"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2017.09.003"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-38748-8"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0179738"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2020.00260"},{"key":"ref115","article-title":"Biomechanics dataset of healthy human walking at various conditions","author":"Mundinger","year":"2021"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01638-2"},{"key":"ref117","article-title":"Multimodal dataset of freezing of gait in Parkinsons disease","volume":"3","author":"Hantao","year":"2021","journal-title":"Mendeley Data"},{"key":"ref118","article-title":"Dataset for characterizing the walking behavior of subjects and identification of changes in the motion patterns, based on RGB-D cameras","author":"Peppoloni","year":"2018"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0221732"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0221732"},{"key":"ref121","article-title":"Human locomotion dataset","author":"Pequera","year":"2020"},{"key":"ref122","article-title":"Gait dataset for knee osteoarthritis and Parkinsons disease analysis with severity levels","author":"Kour","year":"2020"},{"key":"ref123","first-page":"349","article-title":"Dataset for human recognition under multi-gait scenario","volume":"2","author":"Pal Singh","year":"2021","journal-title":"Mendeley Data"},{"key":"ref124","article-title":"Energetic expenditure during walking and load-carriage in humans","author":"Mateos","year":"2020"},{"key":"ref125","article-title":"Dataset for human gait analysis","author":"Salisu","year":"2022"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-07945-y"},{"key":"ref127","article-title":"GPJATK dataset","author":"Wojciechowski"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.3390\/s21082821"},{"key":"ref129","article-title":"The smart-insole dataset","author":"Chatzaki"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104717"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104717"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2036165"},{"key":"ref133","article-title":"Daphnet freezing of gait data set","author":"Roggen","year":"2013"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0253157"},{"key":"ref135","article-title":"MoVi: A large multipurpose motion and video dataset","author":"Ghorbani","year":"2021"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1145\/3161711"},{"key":"ref137","article-title":"The WeAllWalk data set","author":"Flores","year":"2016"},{"key":"ref138","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2020.106122","article-title":"A multi-sensory dataset for the activities of daily living","volume":"32","author":"Ruzzon","year":"2020","journal-title":"Data Brief"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2020.106122"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2017.12.022"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104654"},{"key":"ref142","article-title":"WiseNET: Multi-camera dataset","author":"Roberto","year":"2019"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/IJCB52358.2021.9484347"},{"key":"ref144","doi-asserted-by":"crossref","DOI":"10.1109\/IJCB52358.2021.9484347","article-title":"ReSGait: The real-scene gait dataset","author":"Mu","year":"2021"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2020.106628"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2020.106628"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2020.106550"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2020.106550"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2020.105918"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.918"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.918"},{"key":"ref152","first-page":"164","article-title":"A public dataset of overground and treadmill walking in healthy individuals captured by wearable IMU and sEMG sensors","volume-title":"Proc. 13th Int. Joint Conf. Biomed. Eng. Syst. Technol.","author":"Loose","year":"2020"},{"key":"ref153","article-title":"GaitAnalysisDatabase","author":"Loose","year":"2019"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.107365"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.107365"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2020.108580"},{"key":"ref157","article-title":"Standing balance experiment with long duration random pulses perturbation","author":"Wang","year":"2020"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.2648"},{"key":"ref159","article-title":"Human balance evaluation database","author":"Santos","year":"2016"},{"issue":"2","key":"ref160","first-page":"1","article-title":"Age and gender differences in fundamental motor skills (original version in English)","volume":"13","author":"Jimnez Daz","year":"2015","journal-title":"Pensar en Movimiento: Revista de Ciencias del Ejercicio y la Salud"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2022.951663"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10461324\/10238473.pdf?arnumber=10238473","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T20:03:19Z","timestamp":1736971399000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10238473\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":161,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2023.3311677","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3]]}}}