{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T18:12:17Z","timestamp":1771956737850,"version":"3.50.1"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772420"],"award-info":[{"award-number":["61772420"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Funds for Construction of Key Disciplines in Universities in Shaanxi."}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3596942","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T18:41:05Z","timestamp":1754678465000},"page":"142015-142029","source":"Crossref","is-referenced-by-count":2,"title":["Vision-Based Fall Risk Assessment Through Attention Augmented Neural Encoding and Data Augmentation"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8354-2952","authenticated-orcid":false,"given":"Chunhua","family":"Pan","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi&#x2019;an, Shaanxi, China"}]},{"given":"Rui","family":"Miao","sequence":"additional","affiliation":[{"name":"Department of Neurology, Shaanxi Second Provincial People&#x2019;s Hospital (Shaanxi Provincial Geriatric Hospital), Xi&#x2019;an, Shaanxi, China"}]},{"given":"Qing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Xi&#x2019;an University of Posts and Telecommunications, Xi&#x2019;an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2286-0821","authenticated-orcid":false,"given":"Boting","family":"Qu","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Northwest University, Xi&#x2019;an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3569-2126","authenticated-orcid":false,"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1021\/acsomega.4c11449"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.4c01758"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2025.3540852"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3439719"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2025.3571035"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/int\/1863025"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00171"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s11556-021-00266-w"},{"issue":"18","key":"ref9","doi-asserted-by":"crossref","first-page":"6752","DOI":"10.3390\/s22186752","article-title":"A systematic review of wearable sensor-based technologies for fall risk assessment in older adults","volume":"22","author":"Chen","year":"2022","journal-title":"Sensors"},{"key":"ref10","first-page":"22584","article-title":"Model reprogramming: Resource-efficient cross-domain machine learning","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Chen"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3235522"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01955"},{"key":"ref13","first-page":"1","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","volume-title":"Proc. NIPS Workshop Deep Learn.","author":"Chung"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3327284"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/s12984-019-0532-x"},{"issue":"4","key":"ref16","doi-asserted-by":"crossref","first-page":"1557","DOI":"10.3390\/s22041557","article-title":"Automatic and efficient fall risk assessment based on machine learning","volume":"22","author":"Eichler","year":"2022","journal-title":"Sensors"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1159\/000381804"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2007.04.006"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/bf03325265"},{"key":"ref20","first-page":"29343","article-title":"Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Goldblum"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3559788"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3491176"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2017.2687100"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0153240"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.107959","article-title":"Parkinson\u2019s severity diagnosis explainable model based on 3D multi-head attention residual network","volume":"170","author":"Huang","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3421336"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IECBES54088.2022.10079396"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.113045"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/s41378-022-00465-0"},{"key":"ref30","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kipf"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00530"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2024.106551"},{"issue":"5","key":"ref33","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1016\/j.clinbiomech.2015.03.006","article-title":"Novel use of the Wii balance board to prospectively predict falls in community-dwelling older adults","volume":"30","author":"Kwok","year":"2015","journal-title":"Clin. Biomechanics"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00075"},{"issue":"1","key":"ref36","first-page":"1296","article-title":"Pose-oriented transformer with uncertainty-guided refinement for 2D-to-3D human pose estimation","volume-title":"Proc. AAAI Conf. Artif. Intell.","volume":"37","author":"Li"},{"key":"ref37","first-page":"1","article-title":"Gated graph sequence neural networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Li"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/WACV61041.2025.00294"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00554"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3368065"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.gaitpost.2020.03.005","article-title":"Five times sit-to-stand following stroke: Relationship with strength and balance","volume":"78","author":"Mentiplay","year":"2020","journal-title":"Gait Posture"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3025049"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3344605"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3429516"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s40520-013-0042-9"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.107937"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01123"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/56.12.m761"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/MeMeA49120.2020.9137110"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3144917"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-84146-0"},{"key":"ref52","article-title":"PACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model","volume":"117","author":"Hayat","year":"2025","journal-title":"Comput. Biol. Chem."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00132"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1535"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3167473"},{"issue":"2","key":"ref56","first-page":"430","article-title":"Fall risk assessment scales: A systematic literature review","volume-title":"Nursing Rep.","volume":"11","author":"Strini","year":"2021"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1186\/s12877-018-0706-6"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1080\/00140139.2023.2202845"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2024.3352004"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121370"},{"key":"ref61","doi-asserted-by":"crossref","DOI":"10.1016\/j.jss.2025.112365","article-title":"Towards cost-efficient vulnerability detection with cross-modal adversarial reprogramming","volume":"223","author":"Tian","year":"2025","journal-title":"J. Syst. Softw."},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00457"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbaf026"},{"key":"ref64","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Veli\u010dkovi\u0107"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01252"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00236"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2021.3123232"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1093\/ptj\/85.10.1034"},{"key":"ref69","volume-title":"Falls","year":"2021"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105355"},{"key":"ref71","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111106","article-title":"Local and global self-attention enhanced graph convolutional network for skeleton-based action recognition","volume":"159","author":"Wu","year":"2025","journal-title":"Pattern Recognit."},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2019.10.006"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1186\/s11556-020-00255-5"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC48688.2020.00044"},{"key":"ref75","first-page":"73","article-title":"Bidirectional long short-term memory networks for relation classification","volume-title":"Proc. 29th Pacific Asia Conf. Lang.","author":"Zhang"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2025.3566647"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1145\/3603618"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00223"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11121161.pdf?arnumber=11121161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T19:46:07Z","timestamp":1755546367000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11121161\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":78,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3596942","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}