{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T18:20:17Z","timestamp":1787509217406,"version":"build-2736575974"},"reference-count":27,"publisher":"Georg Thieme Verlag KG","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Methods Inf Med"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:p>Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on \u201cNew Methodologies for Patients Rehabilitation\u201d.<\/jats:p>\n                  <jats:p>Background: The article presents the approach in which the rehabilitative exercise prepared by healthcare professional is encoded as formal knowledge and used by humanoid robot to assist patients without involving other care actors.<\/jats:p>\n                  <jats:p>Objectives: The main objective is the use of humanoids in rehabilitative care. An example is pulmonary rehabilitation in COPD patients. Another goal is the automated judgment functionality to determine how the rehabilitation exercise matches the pre-programmed correct sequence.<\/jats:p>\n                  <jats:p>Methods: We use the Aldebaran Robotics\u2019 NAO humanoid to set up artificial cognitive application. Pre-programmed NAO induces elderly patient to undertake humanoid-driven rehabilitation exercise, but needs to evaluate the human actions against the correct template. Patient is observed using NAO\u2019s eyes. We use the Microsoft Kinect SDK to extract motion path from the humanoid\u2019s recorded video. We compare human- and humanoid-operated process sequences by using the Dynamic Time Warping (DTW) and test the prototype.<\/jats:p>\n                  <jats:p>Results: This artificial cognitive software showcases the use of DTW algorithm to enable humanoids to judge in near real-time about the correctness of rehabilitative exercises performed by patients following the robot\u2019s indications.<\/jats:p>\n                  <jats:p>Conclusion: One could enable better sustainable rehabilitative care services in remote residential settings by combining intelligent applications piloting humanoids with the DTW pattern matching algorithm applied at run time to compare humanoid- and human-operated process sequences. In turn, it will lower the need of human care.<\/jats:p>","DOI":"10.3414\/me13-02-0054","type":"journal-article","created":{"date-parts":[[2014,7,2]],"date-time":"2014-07-02T07:35:52Z","timestamp":1404286552000},"page":"114-121","source":"Crossref","is-referenced-by-count":25,"title":["Humanoid Assessing Rehabilitative Exercises"],"prefix":"10.3414","volume":"54","author":[{"given":"G.","family":"Delconte","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Simonov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2018,1,22]]},"reference":[{"key":"10.3414\/ME13-02-0054-1","unstructured":"KSERA project. (Online) Available from: www.ksera-project.eu (accessed 1\/1\/2013)"},{"key":"10.3414\/ME13-02-0054-2","doi-asserted-by":"crossref","unstructured":"Brooks D, Howard AM. A computational method for physical rehabilitation assessment. In: 3rd IEEE RAS and EMBS International Conference onBiomedical Robotics and Biomechatronics (BioRob), Sept. 26-29, 2010. pp 442-\u2006447","DOI":"10.1109\/BIOROB.2010.5626047"},{"key":"10.3414\/ME13-02-0054-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2011.12.001"},{"key":"10.3414\/ME13-02-0054-4","doi-asserted-by":"crossref","unstructured":"Achumba IE, Bersch S, Khusainov R, Azzi R, Kamalu U. On time series sensor data segmentation for fall and activity classification. In: IEEE 14th International Conference one-Health Networking, Applications and Services (Healthcom), Oct. 10-13, 2012. pp 427-\u2009430","DOI":"10.1109\/HealthCom.2012.6379453"},{"key":"10.3414\/ME13-02-0054-5","doi-asserted-by":"crossref","unstructured":"Gupta GS, Mukhopadhyay SC, Sutherland M, Demidenko S. Wireless Sensor Network for Selective Activity Monitoring in a Home for the Elderly. Instrumentation and Measurement Technology Conference Proceedings (IMTC), IEEE, May 1-3, 2007. pp 1-\u20066","DOI":"10.1109\/IMTC.2007.379172"},{"key":"10.3414\/ME13-02-0054-6","unstructured":"Johnson DO, et al. Socially Assistive Robots: A comprehensive approach to extending independent living. International Journal of Social Robotics (Springer), 2013. pp 1-19. (in press)"},{"key":"10.3414\/ME13-02-0054-7","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1978.1163055"},{"issue":"1","key":"10.3414\/ME13-02-0054-8","first-page":"87","volume":"34","author":"Nakagawa","year":"1988","journal-title":"Journal of Institution of Electronics and Telecommunication Engineers"},{"key":"10.3414\/ME13-02-0054-9","doi-asserted-by":"crossref","unstructured":"Reyes M, Dominguez G, Escalera S. Feature weighting in dynamic time warping for gesture recognition in depth data. In: 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), IEEE, 2011. pp 1182-1188","DOI":"10.1109\/ICCVW.2011.6130384"},{"key":"10.3414\/ME13-02-0054-10","doi-asserted-by":"publisher","DOI":"10.7763\/IJIET.2013.V3.316"},{"key":"10.3414\/ME13-02-0054-11","unstructured":"Su CJ, Huang JY, Huang SF. Ensuring Home-based Rehabilitation Exercise by Using Kinect and Fuzzified Dynamic Time Warping Algorithm. In: Kachitvichyanukul V, Luong HT, Pitakaso R (eds). Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference APIEM-2012, Patong Beach, Phuket, Thailand. December 2-5, 2012. pp 884-895"},{"key":"10.3414\/ME13-02-0054-12","doi-asserted-by":"crossref","unstructured":"Rakthanmanon T, et al. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping. In: The KDD \u201912 Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. Beijing, China, August 12-16, 2012. pp 262\u2009-270","DOI":"10.1145\/2339530.2339576"},{"key":"10.3414\/ME13-02-0054-13","doi-asserted-by":"crossref","unstructured":"Wobbrock JO, Wilson AD, Li Y. Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes. In: Proceedings of the 20th annual ACM symposium on User interface software and technology ACM UIST. Newport, USA. October 7-10, 2007. pp 159\u2009-168","DOI":"10.1145\/1294211.1294238"},{"key":"10.3414\/ME13-02-0054-14","doi-asserted-by":"crossref","unstructured":"Adistambha K, Ritz CH, Burnett IS. Motion Classification Using Dynamic Time Warping. IEEE 10th Workshop on Multimedia Signal Processing. Cairns, Qld, October 8-10, 2008. pp 622\u2009-\u2006627","DOI":"10.1109\/MMSP.2008.4665151"},{"key":"10.3414\/ME13-02-0054-15","first-page":"620","volume":"1","author":"Celebi","year":"2013","journal-title":"SciTePress"},{"key":"10.3414\/ME13-02-0054-16","doi-asserted-by":"crossref","unstructured":"Qiu Y, Wu X, Guo L. The design of lower limbs rehabilitative training device control system. In: Proceedings of the 2010 International Conference onComputer Application and System Modeling (ICCASM). Taiyuan, China, Oct 22-24, 2010. 11(-): 619-622","DOI":"10.1109\/ICCASM.2010.5623131"},{"key":"10.3414\/ME13-02-0054-17","doi-asserted-by":"crossref","unstructured":"Rakhomov R, Primov E, Min D. Behavioral synchronization of human and humanoid robot. 8th Int Conf on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, Nov 23-26, 2011. pp 655-660","DOI":"10.1109\/URAI.2011.6145902"},{"key":"10.3414\/ME13-02-0054-18","doi-asserted-by":"crossref","unstructured":"Muscillo R, Conforto S, Schmid M, Caselli P, D\u2019Alessio T. Classification of Motor Activities through Derivative Dynamic Time Warping applied on Accelerometer Data, In: Proceedings of EMBS-2007, IEEE, Aug 22-26, 2007. pp 4930-4933","DOI":"10.1109\/IEMBS.2007.4353446"},{"key":"10.3414\/ME13-02-0054-19","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2009.06.008"},{"key":"10.3414\/ME13-02-0054-20","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2010.7"},{"key":"10.3414\/ME13-02-0054-21","doi-asserted-by":"crossref","unstructured":"Bae J, Liu L, Caverlee J, Rouse WB. Process Mining, Discovery, and Integration using Distance Measures. Int Conf Web Serv; 2006. pp 479-\u2006488","DOI":"10.1109\/ICWS.2006.105"},{"key":"10.3414\/ME13-02-0054-22","doi-asserted-by":"publisher","DOI":"10.3414\/ME12-01-0111"},{"key":"10.3414\/ME13-02-0054-23","doi-asserted-by":"crossref","unstructured":"Chidambaram V, Chiang Y-H, Mutlu B. Designing persuasive robots: how robots might persuade people using vocal and nonverbal cues. In: Proc of HRI \u201912 Conf on Human-Robot Interaction, ACM. NY, USA. pp 293-300","DOI":"10.1145\/2157689.2157798"},{"key":"10.3414\/ME13-02-0054-24","doi-asserted-by":"publisher","DOI":"10.1016\/j.apmr.2003.08.086"},{"key":"10.3414\/ME13-02-0054-25","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-008-0001-3"},{"issue":"2","key":"10.3414\/ME13-02-0054-26","first-page":"76","volume":"1","author":"Torta","year":"2012","journal-title":"Int J Hum-Comput Interact"},{"key":"10.3414\/ME13-02-0054-27","unstructured":"Robot Operating SYstem. (Online.) Available from: wiki.ros.org and wiki.ros.org\/smach (accessed 1\/1\/2013)"}],"container-title":["Methods of Information in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.3414\/ME13-02-0054.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T12:57:25Z","timestamp":1746277045000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.3414\/ME13-02-0054"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":27,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2018,1,22]]},"published-print":{"date-parts":[[2015]]}},"URL":"https:\/\/doi.org\/10.3414\/me13-02-0054","relation":{},"ISSN":["0026-1270","2511-705X"],"issn-type":[{"value":"0026-1270","type":"print"},{"value":"2511-705X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}