{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T04:44:39Z","timestamp":1782794679630,"version":"3.54.5"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032304872","type":"print"},{"value":"9783032304889","type":"electronic"}],"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.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-3-032-30488-9_15","type":"book-chapter","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T04:00:47Z","timestamp":1782792047000},"page":"233-250","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multidimensional Quality Assessment of\u00a0Synthetic Movement Data for\u00a0Post-stroke Rehabilitation"],"prefix":"10.1007","author":[{"given":"Aline P.A","family":"Ferreira","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucas O.","family":"Alves","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4952-3975","authenticated-orcid":false,"given":"Fabio A.F","family":"Molinares","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5026-1581","authenticated-orcid":false,"given":"Marcelo P.","family":"Guimar\u00e3es","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8341-8183","authenticated-orcid":false,"given":"Vin\u00edcius F. S.","family":"Mota","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4913-4902","authenticated-orcid":false,"given":"Leonardo C. D.","family":"Rocha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9619-2171","authenticated-orcid":false,"given":"Diego R. C.","family":"Dias","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,1]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"Brand\u00e3o, A.F., et al.: Biomechanics sensor node for virtual reality: a wearable device applied to gait recovery for neurofunctional rehabilitation. In: International Conference on Computational Science and Its Applications, pp. 757\u2013770. Springer (2020)","DOI":"10.1007\/978-3-030-58820-5_54"},{"issue":"10","key":"15_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3559540","volume":"55","author":"E Brophy","year":"2023","unstructured":"Brophy, E., Wang, Z., She, Q., Ward, T.: Generative adversarial networks in time series: a systematic literature review. ACM Comput. Surv. 55(10), 1\u201331 (2023)","journal-title":"ACM Comput. Surv."},{"issue":"5","key":"15_CR3","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1007\/s13534-025-00497-1","volume":"15","author":"L Buess","year":"2025","unstructured":"Buess, L., Keicher, M., Navab, N., Maier, A., Tayebi Arasteh, S.: From large language models to multimodal ai: a scoping review on the potential of generative ai in medicine. Biomed. Eng. Lett. 15(5), 845\u2013863 (2025)","journal-title":"Biomed. Eng. Lett."},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Camargo, L.F., Miguel, G.R., Feitosa, J.D.C., Rodrigues, L.G.S., Dias, D.R.C., Brega, J.R.F.: Combining computer vision and artificial intelligence to support the rehabilitation of post-stroke patients. In: International Conference on Computational Science and Its Applications, pp. 415\u2013432. Springer (2025)","DOI":"10.1007\/978-3-031-97000-9_26"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Dias, D.R., Alvarenga, I.C., Guimar\u00e3es, M.P., Trevelin, L.C., Castellano, G., Brand\u00e3o, A.F.: eStreet: virtual reality and wearable devices applied to rehabilitation. In: International Conference on Computational Science and Its Applications, pp. 775\u2013789. Springer (2018)","DOI":"10.1007\/978-3-319-95171-3_60"},{"issue":"14","key":"15_CR6","doi-asserted-by":"publisher","first-page":"10123","DOI":"10.1007\/s00521-023-08459-3","volume":"35","author":"G Iglesias","year":"2023","unstructured":"Iglesias, G., Talavera, E., Gonz\u00e1lez-Prieto, \u00c1., Mozo, A., G\u00f3mez-Canaval, S.: Data augmentation techniques in time series domain: a survey and taxonomy. Neural Comput. Appl. 35(14), 10123\u201310145 (2023)","journal-title":"Neural Comput. Appl."},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Ribeiro, E., et al.: A body tracking framework for neuromotor rehabilitation with multimedia application support. In: International Conference on Computational Science and Its Applications, pp. 345\u2013360. Springer (2025)","DOI":"10.1007\/978-3-031-97000-9_22"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Rodrigues, L.G.S., et al.: Supervised classification of motor-rehabilitation body movements with RGB cameras and pose tracking data. J. Interact. Syst. (2022)","DOI":"10.5753\/jis.2022.2409"},{"key":"15_CR9","unstructured":"Yoon, J., Jarrett, D., Van\u00a0der Schaar, M.: Time-series generative adversarial networks. In: Advances in Neural Information Processing Systems, vol. 32 (2019)"},{"issue":"4","key":"15_CR10","doi-asserted-by":"publisher","first-page":"2430","DOI":"10.1109\/TPAMI.2023.3330935","volume":"46","author":"W Zhu","year":"2023","unstructured":"Zhu, W., et al.: Human motion generation: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(4), 2430\u20132449 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-30488-9_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T04:00:58Z","timestamp":1782792058000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-30488-9_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,1]]},"ISBN":["9783032304872","9783032304889"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-30488-9_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,1]]},"assertion":[{"value":"1 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Braga","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}