{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T23:23:42Z","timestamp":1783553022988,"version":"3.55.0"},"reference-count":85,"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":[{"name":"SOMPO Holdings Inc."}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3550579","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:46:24Z","timestamp":1741801584000},"page":"47570-47586","source":"Crossref","is-referenced-by-count":2,"title":["Datasets, Machine Learning Recognition Performance, and Key Issues in Nursing Care Activity Recognition: A Systematic Review"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0400-0185","authenticated-orcid":false,"given":"Yasuyuki","family":"Yoshida","sequence":"first","affiliation":[{"name":"Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Kashiwa II Campus, The University of Tokyo, Kashiwa, Chiba, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8331-9225","authenticated-orcid":false,"given":"Hiroyasu","family":"Miwa","sequence":"additional","affiliation":[{"name":"Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Kashiwa II Campus, The University of Tokyo, Kashiwa, Chiba, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7112-1007","authenticated-orcid":false,"given":"Satoshi","family":"Nakae","sequence":"additional","affiliation":[{"name":"Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Kashiwa II Campus, The University of Tokyo, Kashiwa, Chiba, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1338-3795","authenticated-orcid":false,"given":"Satoki","family":"Ogiso","sequence":"additional","affiliation":[{"name":"Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Kashiwa II Campus, The University of Tokyo, Kashiwa, Chiba, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1784-0538","authenticated-orcid":false,"given":"Ryosuke","family":"Ichikari","sequence":"additional","affiliation":[{"name":"Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Kashiwa II Campus, The University of Tokyo, Kashiwa, Chiba, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7135-0863","authenticated-orcid":false,"given":"Takashi","family":"Okuma","sequence":"additional","affiliation":[{"name":"Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Kashiwa II Campus, The University of Tokyo, Kashiwa, Chiba, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3928\/00989134-20230106-01"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/qjmed\/hcae097"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/01171968231188532"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.33160\/yam.2023.05.001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1057\/s41599-023-02173-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3399\/bjgp23X732045"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3125733"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.29869"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s22176463"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.056"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s17112556"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1136\/BMJ.N71"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s24020319"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3351244"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02620-2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9176710"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3341162.3345577"},{"key":"ref18","article-title":"Summary of the 2nd nurse care activity recognition challenge using lab and field data","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Alia"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3460418.3479391"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3341162.3344859"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1145\/3341162.3345580","article-title":"Nurse care activity recognition challenge using a supervised methodology","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Patwary"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3410530.3414335"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1145\/3410530.3414336","article-title":"A window-based sequence-to-one approach with dynamic voting for nurse care activity recognition using acceleration-based wearable sensor","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Dong"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1145\/3410530.3414339","article-title":"Nurse care activity recognition based on machine learning techniques using accelerometer data","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Irbaz"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3460418.3479390"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3460418.3479388"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3341162.3345581"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1145\/3341162.3344848","article-title":"Nurse care activity recognition","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Haque"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00224"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1145\/3410530.3414338","article-title":"Complex nurse care activity recognition using statistical features","volume-title":"Adjunct ACM Int. Joint Conf. Pervasive Ubiquitous Comput. ACM Int. Symp. Wearable Comput","author":"Basak"},{"key":"ref31","doi-asserted-by":"crossref","DOI":"10.1145\/3410530.3414337","article-title":"A pragmatic signal processing approach for nurse care activity recognition using classical machine learning","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Faisal"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1145\/3410530.3414340","article-title":"Feature based random forest nurse care activity recognition using accelerometer data","volume-title":"Adjunct ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"L\u00fcbbe"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1145\/3410530.3414334","article-title":"Nurse care activity recognition","volume-title":"Adjunct ACM Int. Joint Conf. Pervasive Ubiquitous Comput. ACM Int. Symp. Wearable Comput","author":"Rahman"},{"key":"ref34","doi-asserted-by":"crossref","DOI":"10.1145\/3410530.3414333","article-title":"Nurse care activity recognition challenge","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Matsuyama"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEVicIVPR52578.2021.9564165"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1145\/3460418.3479387","article-title":"Nurse care activity recognition from accelerometer sensor data using Fourier- and wavelet-based features","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Kowshik"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF49454.2021.9382653"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LifeTech52111.2021.9391968"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3558884.3558891"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3004010.3004012"},{"key":"ref41","doi-asserted-by":"crossref","DOI":"10.1145\/2750858.2807533","article-title":"Mobile activity recognition for a whole day","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput","author":"Inoue"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEV.2019.8858584"},{"key":"ref43","first-page":"1","article-title":"Overcoming data scarcity in human activity recognition","volume-title":"Proc. 45th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (EMBC)","author":"Konak"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1071\/AH15126"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocad113"},{"issue":"1","key":"ref46","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1038\/s41746-021-00514-4","article-title":"A systematic review of smartphone-based human activity recognition methods for health research","volume":"4","author":"Straczkiewicz","year":"2021","journal-title":"Npj Digit. Med."},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3357591"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2024.1354263"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-15054-0"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.14745\/ccdr.v45i10a01"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-25590-9_7"},{"key":"ref52","article-title":"The OpenAIRE research graph data model","author":"Manghi","year":"2019"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s40860-021-00147-0"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/mprv.2017.3971131"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.21307\/ijssis-2020-008"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3390\/s21186316"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-023-10639-2"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/2499621"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.110112.00192"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/s17092064"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-020-07840-y"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.24425\/ijet.2020.131873"},{"key":"ref63","doi-asserted-by":"crossref","DOI":"10.1145\/2413097.2413148","article-title":"Creating and benchmarking a new dataset for physical activity monitoring","volume-title":"5th Int. Conf. Pervasive Technol. Rel. Assistive Environ","author":"Reiss"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-022-01688-8"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.3390\/s18072203"},{"key":"ref66","first-page":"109","article-title":"Handling annotation uncertainty in human activity recognition","volume-title":"Proc. 23rd Int. Symp. Wearable Comput.","author":"Kwon"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05855-6"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-024-01062-3"},{"key":"ref69","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.future.2023.09.029","article-title":"Multiclass autoencoder-based active learning for sensor-based human activity recognition","volume":"151","author":"Park","year":"2024","journal-title":"Future Gener. Comput. Syst."},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref71","article-title":"An overview of overfitting and its solutions","volume-title":"J. Phys., Conf. Ser.","volume":"1168","author":"Ying"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CCAI57533.2023.10201297"},{"key":"ref73","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"33rd Int. Conf. Int. Conf. Mach. Learn","volume":"48","author":"Xie"},{"issue":"1","key":"ref74","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1007\/s11063-020-10400-x","article-title":"The future of human activity recognition: Deep learning or feature engineering?","volume":"53","author":"Kanjilal","year":"2021","journal-title":"Neural Process. Lett."},{"issue":"1","key":"ref75","first-page":"10759","article-title":"Classification performance assessment for imbalanced multiclass data","volume-title":"Sci. Rep.","volume":"14","author":"Aguilar-Ruiz","year":"2024"},{"key":"ref76","doi-asserted-by":"crossref","DOI":"10.1016\/j.dsp.2019.102637","article-title":"G-mean based extreme learning machine for imbalance learning","volume":"98","author":"Ri","year":"2020","journal-title":"Digit. Signal Process."},{"key":"ref77","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.patrec.2020.03.030","article-title":"On the performance of Matthews correlation coefficient (MCC) for imbalanced dataset","volume":"136","author":"Zhu","year":"2020","journal-title":"Pattern Recognit. Lett."},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref79","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.ins.2019.07.070","article-title":"A comprehensive analysis of synthetic minority oversampling technique (SMOTE) for handling class imbalance","volume":"505","author":"Elreedy","year":"2019","journal-title":"Inf. Sci."},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/IMCOM53663.2022.9721632"},{"key":"ref81","doi-asserted-by":"crossref","DOI":"10.1145\/3460418.3479389","article-title":"Nurse care activity recognition: A cost-sensitive ensemble approach to handle imbalanced class problem in the wild","volume-title":"ACM Int. Joint Conf. Pervasive Ubiquitous Comput. Proc. ACM Int. Symp. Wearable Comput","author":"Rahman"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CISP-BMEI53629.2021.9624339"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596486"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.23919\/FRUCT61870.2024.10516372"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.3390\/app13064006"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10924224.pdf?arnumber=10924224","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:39:54Z","timestamp":1742985594000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10924224\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":85,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3550579","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}