{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T12:29:16Z","timestamp":1777638556397,"version":"3.51.4"},"reference-count":38,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2016,10,18]],"date-time":"2016-10-18T00:00:00Z","timestamp":1476748800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Spanish Ministerio de Economia y Competitividad","award":["TIN2015-6957-R"],"award-info":[{"award-number":["TIN2015-6957-R"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In the last few years, telerehabilitation and telecare have become important topics in healthcare since they enable people to remain independent in their own homes by providing person-centered technologies to support the individual. These technologies allows elderly people to be assisted in their home, instead of traveling to a clinic, providing them wellbeing and personalized health care. The literature shows a great number of interesting proposals to address telerehabilitation and telecare scenarios, which may be mainly categorized into two broad groups, namely wearable devices and context-aware systems. However, we believe that these apparently different scenarios may be addressed by a single context-aware approach, concretely a vision-based system that can operate automatically in a non-intrusive way for the elderly, and this is the goal of this paper. We present a general approach based on 3D cameras and neural network algorithms that offers an efficient solution for two different scenarios of telerehabilitation and telecare for elderly people. Our empirical analysis reveals the effectiveness and accuracy of the algorithms presented in our approach and provides more than promising results when the neural network parameters are properly adjusted.<\/jats:p>","DOI":"10.3390\/s16101724","type":"journal-article","created":{"date-parts":[[2016,10,18]],"date-time":"2016-10-18T10:46:25Z","timestamp":1476787585000},"page":"1724","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["A Vision-Based Approach for Building Telecare and Telerehabilitation Services"],"prefix":"10.3390","volume":"16","author":[{"given":"Angela","family":"Barriga","sequence":"first","affiliation":[{"name":"Quercus Software Engineering Group, University of Extremadura, C\u00e1ceres 10071, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9","family":"Conejero","sequence":"additional","affiliation":[{"name":"Quercus Software Engineering Group, University of Extremadura, C\u00e1ceres 10071, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6343-7395","authenticated-orcid":false,"given":"Juan","family":"Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Quercus Software Engineering Group, University of Extremadura, C\u00e1ceres 10071, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9545-4475","authenticated-orcid":false,"given":"Elena","family":"Jurado","sequence":"additional","affiliation":[{"name":"Quercus Software Engineering Group, University of Extremadura, C\u00e1ceres 10071, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4096-1282","authenticated-orcid":false,"given":"Enrique","family":"Moguel","sequence":"additional","affiliation":[{"name":"Quercus Software Engineering Group, University of Extremadura, C\u00e1ceres 10071, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6861-1540","authenticated-orcid":false,"given":"Fernando","family":"S\u00e1nchez-Figueroa","sequence":"additional","affiliation":[{"name":"Quercus Software Engineering Group, University of Extremadura, C\u00e1ceres 10071, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,18]]},"reference":[{"key":"ref_1","unstructured":"Davies, R. Older People in Europe. Available online: https:\/\/goo.gl\/n10qrf."},{"key":"ref_2","unstructured":"Ortman, J.M., Velkoff, V.A., and Hogan, H. (2014). An Aging Nation: The Older Population in the United States."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/MEMB.2008.925213","article-title":"Advanced solutions for an aging society","volume":"27","author":"Micera","year":"2008","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1258\/135763307780908058","article-title":"A systematic review of the benefits of home telecare for frail elderly people and those with long-term conditions","volume":"13","author":"Barlow","year":"2007","journal-title":"J. Telemed. Telecare"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1177\/1357633X9600200202","article-title":"Three generations of telecare of the elderly","volume":"2","author":"Doughty","year":"1996","journal-title":"J. Telemed. Telecare"},{"key":"ref_6","unstructured":"Health, Demographic Change and Wellbeing. Available online: https:\/\/goo.gl\/njGfeg."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Anton, D., Goni, A., Illarramendi, A., Torres-Unda, J., and Seco, J. (2013, January 9\u201312). KiReS: A Kinect-based Telerehabilitation system. Proceedings of the 2013 IEEE 15th International Conference on e-Health Networking, Applications Services (Healthcom), Lisbon, Portugal.","DOI":"10.1109\/HealthCom.2013.6720717"},{"key":"ref_8","unstructured":"Hondori, H.M., Khademi, M., and Lopes, C.V. (2012, January 7\u20139). Monitoring intake gestures using sensor fusion (microsoft Kinect and inertial sensors) for smart home tele-rehab setting. Proceedings of the 1st Annual IEEE Healthcare Innovation Conference, Houston, TX, USA."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Perry, J., Kellog, S., Vaidya, S., Youn, J.H., Ali, H., and Sharif, H. (2009, January 28\u201330). Survey and evaluation of real-time fall detection approaches. Proceedings of the 6th International Symposium on High-Capacity Optical Networks and Enabling Technologies (HONET), Lahore, Pakistan.","DOI":"10.1109\/HONET.2009.5423081"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Hijaz, F., Afzal, N., Ahmad, T., and Hasan, O. (2010, January 14\u201316). Survey of fall detection and daily activity monitoring techniques. Proceedings of the 2010 IEEE International Conference on Information and Emerging Technologies (ICIET), Karachi, Pakistan.","DOI":"10.1109\/ICIET.2010.5625702"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.neucom.2011.09.037","article-title":"A survey on fall detection: Principles and approaches","volume":"100","author":"Mubashir","year":"2013","journal-title":"Neurocomputing"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"12900","DOI":"10.3390\/s140712900","article-title":"Automatic fall monitoring: A review","volume":"14","author":"Pannurat","year":"2014","journal-title":"Sensors"},{"key":"ref_13","first-page":"1230","article-title":"Fall detection and prevention for the elderly: A review of trends and challenges","volume":"6","author":"Tan","year":"2013","journal-title":"Int. J. Smart Sens. Intell. Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1186\/1475-925X-12-66","article-title":"Challenges, issues and trends in fall detection systems","volume":"12","author":"Igual","year":"2013","journal-title":"Biomed. Eng. Online"},{"key":"ref_15","unstructured":"Zheng, H., Davies, R., Stone, T., Wilson, S., Hammerton, J., Mawson, S., Ware, P., and Black, N. (2007). Universal Acess in Human Computer Interaction. Coping with Diversity, Springer."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/MPRV.2009.32","article-title":"On-body sensing solutions for automatic dietary monitoring","volume":"8","author":"Amft","year":"2009","journal-title":"IEEE Pervasive Comput."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1016\/j.pmcj.2012.08.003","article-title":"A smartphone-based fall detection system","volume":"8","author":"Abbate","year":"2012","journal-title":"Pervasive Mob. Comput."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"\u00d6zdemir, A.T. (2016). An analysis on sensor locations of the human body for wearable fall detection devices: Principles and practice. Sensors, 16.","DOI":"10.3390\/s16081161"},{"key":"ref_19","unstructured":"Wireless Network Detects Falls by the Elderly. Available online: https:\/\/goo.gl\/X6zvQJ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1007\/978-3-642-31522-0_95","article-title":"Privacy preserving automatic fall detection for elderly using RGBD cameras","volume":"Volume 7382","author":"Miesenberger","year":"2012","journal-title":"Computers Helping People with Special Needs"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1145\/2384556.2384557","article-title":"Privacy perception and fall detection accuracy for in-home video assistive monitoring with privacy enhancements","volume":"2","author":"Edgcomb","year":"2012","journal-title":"ACM SIGHIT Rec."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Tayama, Y., Hagino, M., and Okada, K.I. (2014, January 15\u201317). Using a human-shaped input device for telerehabilitation. Proceedings of the 2014 IEEE International Conference on Healthcare Informatics (ICHI), Verona, Italy.","DOI":"10.1109\/ICHI.2014.25"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3654","DOI":"10.1016\/j.ridd.2013.08.021","article-title":"A Kinect-based upper limb rehabilitation system to assist people with cerebral palsy","volume":"34","author":"Chang","year":"2013","journal-title":"Res. Dev. Disabil."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1097\/PHM.0b013e3182a38e40","article-title":"Additional virtual reality training using Xbox kinect in stroke survivors with hemiplegia","volume":"92","author":"Sin","year":"2013","journal-title":"Am. J. Phys. Med. Rehabil."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"E151","DOI":"10.1111\/bjet.12018","article-title":"Embodied play to learn: Exploring Kinect-facilitated memory performance","volume":"44","author":"Chao","year":"2013","journal-title":"Br. J. Educ. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1016\/j.gaitpost.2013.09.018","article-title":"Validity and reliability of the Kinect within functional assessment activities: Comparison with standard stereophotogrammetry","volume":"39","author":"Jansen","year":"2014","journal-title":"Gait Posture"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1743-0003-11-108","article-title":"Systematic review of Kinect applications in elderly care and stroke rehabilitation","volume":"11","author":"Webster","year":"2014","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Chang, C.Y., Lange, B., Zhang, M., Koenig, S., Requejo, P., Somboon, N., Sawchuk, A.A., and Rizzo, A. (2012, January 21\u201324). Towards pervasive physical rehabilitation using Microsoft Kinect. Proceedings of the IEEE 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), San Diego, CA, USA.","DOI":"10.4108\/icst.pervasivehealth.2012.248714"},{"key":"ref_29","first-page":"2904","article-title":"Mechanism of Kinect-based virtual reality training for motor functional recovery of upper limbs after subacute stroke","volume":"8","author":"Bao","year":"2013","journal-title":"Neural Regen. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1109\/JBHI.2014.2312180","article-title":"Fall detection in homes of older adults using the microsoft Kinect","volume":"19","author":"Stone","year":"2015","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1007\/s11554-012-0246-9","article-title":"Fall detection system using Kinect\u2019s infrared sensor","volume":"9","author":"Mastorakis","year":"2014","journal-title":"J. Real Time Image Process."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1016\/j.neucom.2015.05.061","article-title":"Improving fall detection by the use of depth sensor and accelerometer","volume":"168","author":"Kwolek","year":"2015","journal-title":"Neurocomputing"},{"key":"ref_33","first-page":"846514","article-title":"A review on technical and clinical impact of microsoft kinect on physical therapy and rehabilitation","volume":"2014","author":"Hondori","year":"2014","journal-title":"J. Med. Eng."},{"key":"ref_34","unstructured":"OpenNI 2 SDK Binaries & Docs. Available online: http:\/\/structure.io\/openni."},{"key":"ref_35","unstructured":"Anderson, J.A. (2006). Encyclopedia of Cognitive Science, John Wiley & Sons."},{"key":"ref_36","unstructured":"A Vision-Based Framework for Building Telecare and Telerehabilitation Services: Experimental Work. Available online: http:\/\/uex.be\/gerotech."},{"key":"ref_37","unstructured":"(2014). UR Fall Detection Dataset, University of Rzeszow."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"332","DOI":"10.7763\/IJCTE.2011.V3.328","article-title":"Behaviour analysis of multilayer perceptrons with multiple hidden neurons and hidden layers","volume":"3","author":"Panchal","year":"2011","journal-title":"Int. J. Comput. 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