{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T11:05:00Z","timestamp":1778497500200,"version":"3.51.4"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031806063","type":"print"},{"value":"9783031806070","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-80607-0_23","type":"book-chapter","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T16:34:36Z","timestamp":1735662876000},"page":"301-314","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["REPAIR Platform: Robot-AidEd PersonAlIzed Rehabilitation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6238-2241","authenticated-orcid":false,"given":"Christian","family":"Tamantini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1184-5944","authenticated-orcid":false,"given":"Alessandro","family":"Umbrico","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6458-5202","authenticated-orcid":false,"given":"Andrea","family":"Orlandini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,1]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Cieza, A., et al.: Global estimates of the need for rehabilitation based on the global burden of disease study 2019: a systematic analysis for the global burden of disease study 2019. Lancet 396(10267), 2006\u20132017 (2020)","DOI":"10.1016\/S0140-6736(20)32340-0"},{"issue":"1","key":"23_CR2","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1080\/09593985.2021.1999354","volume":"39","author":"MJ Kleiner","year":"2023","unstructured":"Kleiner, M.J., Kinsella, E.A., Miciak, M., Teachman, G., McCabe, E., Walton, D.M.: An integrative review of the qualities of a good physiotherapist. Physiotherapy Theory Pract. 39(1), 89\u2013116 (2023)","journal-title":"Physiotherapy Theory Pract."},{"issue":"6","key":"23_CR3","doi-asserted-by":"publisher","first-page":"950","DOI":"10.1080\/09638288.2022.2055165","volume":"45","author":"J Naylor","year":"2023","unstructured":"Naylor, J., Killingback, C., Green, A.: What are the views of musculoskeletal physiotherapists and patients on person-centred practice? A systematic review of qualitative studies. Disabil. Rehabil. 45(6), 950\u2013961 (2023)","journal-title":"Disabil. Rehabil."},{"key":"23_CR4","doi-asserted-by":"publisher","first-page":"438977","DOI":"10.3389\/fneur.2019.00412","volume":"10","author":"C Duret","year":"2019","unstructured":"Duret, C., Grosmaire, A.G., Krebs, H.I.: Robot-assisted therapy in upper extremity hemiparesis: overview of an evidence-based approach. Front. Neurol. 10, 438977 (2019)","journal-title":"Front. Neurol."},{"issue":"10192","key":"23_CR5","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/S0140-6736(19)31055-4","volume":"394","author":"H Rodgers","year":"2019","unstructured":"Rodgers, H., et al.: Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial. Lancet 394(10192), 51\u201362 (2019)","journal-title":"Lancet"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Tamantini, C., et\u00a0al.: Tailoring upper-limb robot-aided orthopedic rehabilitation on patients\u2019 psychophysiological state. IEEE Trans. Neural Syst. Rehabil. Eng. (2023)","DOI":"10.1109\/TNSRE.2023.3298381"},{"issue":"3","key":"23_CR7","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/s12369-022-00897-8","volume":"15","author":"A Umbrico","year":"2023","unstructured":"Umbrico, A., De Benedictis, R., Fracasso, F., Cesta, A., Orlandini, A., Cortellessa, G.: A mind-inspired architecture for adaptive HRI. Int. J. Soc. Robot. 15(3), 371\u2013391 (2023)","journal-title":"Int. J. Soc. Robot."},{"issue":"12","key":"23_CR8","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.1016\/j.tics.2020.09.007","volume":"24","author":"J-F Bonnefon","year":"2020","unstructured":"Bonnefon, J.-F., Rahwan, I.: Machine thinking, fast and slow. Trends Cogn. Sci. 24(12), 1019\u20131027 (2020)","journal-title":"Trends Cogn. Sci."},{"key":"23_CR9","unstructured":"Cristofori, L., et al.: HeAL9000: an intelligent rehabilitation robot. In: CEUR Workshop Proceedings, vol. 3060, pp. 29\u201341 (2021)"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Tamantini, C., et al.: Integrating physical and cognitive interaction capabilities in a robot-aided rehabilitation platform. IEEE Syst. J. (2023)","DOI":"10.1109\/JSYST.2023.3317504"},{"issue":"6","key":"23_CR11","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1007\/s12369-022-00881-2","volume":"14","author":"MJ Johnson","year":"2022","unstructured":"Johnson, M.J., Mohan, M., Mendonca, R.: Therapist-patient interactions in task-oriented stroke therapy can guide robot-patient interactions. Int. J. Soc. Rob. 14(6), 1527\u20131546 (2022)","journal-title":"Int. J. Soc. Rob."},{"issue":"22","key":"23_CR12","doi-asserted-by":"publisher","first-page":"6520","DOI":"10.3390\/s20226520","volume":"20","author":"R Fuentetaja","year":"2020","unstructured":"Fuentetaja, R., Garc\u00eda-Olaya, A., Garc\u00eda, J., Gonz\u00e1lez, J.C., Fern\u00e1ndez, F.: An automated planning model for HRI: use cases on social assistive robotics. Sensors 20(22), 6520 (2020)","journal-title":"Sensors"},{"issue":"17","key":"23_CR13","doi-asserted-by":"publisher","first-page":"4792","DOI":"10.3390\/s20174792","volume":"20","author":"A Mart\u00edn","year":"2020","unstructured":"Mart\u00edn, A., Pulido, J.C., Gonz\u00e1lez, J.C., Garc\u00eda-Olaya, \u00c1., Su\u00e1rez, C., et al.: A framework for user adaptation and profiling for social robotics in rehabilitation. Sensors 20(17), 4792 (2020)","journal-title":"Sensors"},{"key":"23_CR14","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.cogsys.2016.09.003","volume":"43","author":"JC Gonz\u00e1lez","year":"2017","unstructured":"Gonz\u00e1lez, J.C., Pulido, J.C., Fern\u00e1ndez, F.: A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots. Cogn. Syst. Res. 43, 232\u2013249 (2017)","journal-title":"Cogn. Syst. Res."},{"issue":"2","key":"23_CR15","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/MRA.2019.2905231","volume":"26","author":"JC Pulido","year":"2019","unstructured":"Pulido, J.C., et al.: A socially assistive robotic platform for upper-limb rehabilitation: a longitudinal study with pediatric patients. IEEE Rob. Autom. Mag. 26(2), 24\u201339 (2019)","journal-title":"IEEE Rob. Autom. Mag."},{"issue":"01","key":"23_CR16","doi-asserted-by":"publisher","first-page":"1950003","DOI":"10.1142\/S0219843619500038","volume":"16","author":"M Turp","year":"2019","unstructured":"Turp, M., Gonz\u00e1lez, J.C., Pulido, J.C., Fern\u00e1ndez, F.: Developing a robot-guided interactive Simon game for physical and cognitive training. Int. J. Humanoid Rob. 16(01), 1950003 (2019)","journal-title":"Int. J. Humanoid Rob."},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Umbrico, A., et al.: Combining clinical and spatial constraints into temporal planning to personalize physical rehabilitation. In: Proceedings of the International Conference on Automated Planning and Scheduling, vol.\u00a033 (2023)","DOI":"10.1609\/icaps.v33i1.27234"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Grady Booch, et al.: Thinking fast and slow in AI. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no.17 (2021)","DOI":"10.1609\/aaai.v35i17.17765"},{"key":"23_CR19","doi-asserted-by":"crossref","unstructured":"Sorrentino, A., et al.: Personalizing care through robotic assistance and clinical supervision. Front. Rob. AI 9 (2022)","DOI":"10.3389\/frobt.2022.883814"},{"key":"23_CR20","doi-asserted-by":"crossref","unstructured":"Tamantini, C., et al.: A data-driven fuzzy logic method for psychophysiological assessment: an application to exoskeleton-assisted walking. IEEE Trans. Med. Rob. Bionics (2024)","DOI":"10.1109\/TMRB.2024.3377453"},{"issue":"1","key":"23_CR21","doi-asserted-by":"publisher","first-page":"e52192","DOI":"10.2196\/52192","volume":"12","author":"A-M Schyvens","year":"2024","unstructured":"Schyvens, A.-M., et al.: Accuracy of Fitbit charge 4, Garmin Vivosmart 4, and WHOOP versus polysomnography: systematic review. JMIR Mhealth Uhealth 12(1), e52192 (2024)","journal-title":"JMIR Mhealth Uhealth"},{"key":"23_CR22","doi-asserted-by":"crossref","unstructured":"Glinsky, J., Harvey, L., Sherrington, C., Katalinic, O.: www.physiotherapyexercises.com\u2013new exercises and features to help physiotherapists prescribe home exercise programs. Physiotherapy 101, e1381 (2015)","DOI":"10.1016\/j.physio.2015.03.1324"},{"key":"23_CR23","unstructured":"Muscettola, N.: HSTS: integrating planning and scheduling. In Zweben, M., Fox, M.S. (eds.) Intelligent Scheduling. Morgan Kauffmann (1994)"},{"issue":"6","key":"23_CR24","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/s00236-015-0252-z","volume":"53","author":"M Cialdea Mayer","year":"2016","unstructured":"Cialdea Mayer, M., Orlandini, A., Umbrico, A.: Planning and execution with flexible timelines: a formal account. Acta Inf. 53(6), 649\u2013680 (2016)","journal-title":"Acta Inf."},{"key":"23_CR25","doi-asserted-by":"crossref","unstructured":"Umbrico, A., Cesta, A., Cialdea Mayer, M., Orlandini, A.: PLATINUm: a new framework for planning and acting. In: Esposito, F., Basili, R., Ferilli, S., Lisi, F. (eds.) AI*IA 2017 Advances in Artificial Intelligence, pp. 498\u2013512. Springer, Cham (2017)","DOI":"10.1007\/978-3-319-70169-1_37"},{"key":"23_CR26","doi-asserted-by":"crossref","unstructured":"Dill, S., et al.: Accuracy evaluation of 3D pose estimation with mediapipe pose for physical exercises. In: Current Directions in Biomedical Engineering, volume\u00a09, pp. 563\u2013566. De Gruyter (2023)","DOI":"10.1515\/cdbme-2023-1141"},{"issue":"8","key":"23_CR27","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1049\/cvi2.12119","volume":"16","author":"T-T Nguyen","year":"2022","unstructured":"Nguyen, T.-T., Pham, D.-T., Hai, V., Le, T.-L.: A robust and efficient method for skeleton-based human action recognition and its application for cross-dataset evaluation. IET Comput. Vis. 16(8), 709\u2013726 (2022)","journal-title":"IET Comput. Vis."}],"container-title":["Lecture Notes in Computer Science","AIxIA 2024 \u2013 Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-80607-0_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T17:05:28Z","timestamp":1735664728000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-80607-0_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031806063","9783031806070"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-80607-0_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"1 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"AIxIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of the Italian Association for Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bolzano","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiia2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}