{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:48:44Z","timestamp":1775746124134,"version":"3.50.1"},"reference-count":50,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2010,3,22]],"date-time":"2010-03-22T00:00:00Z","timestamp":1269216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Several research programs are tackling the use of Wireless Sensor Networks (WSN) at specific fields, such as e-Health, e-Inclusion or e-Sport. This is the case of the project \u201cAmbient Intelligence Systems Support for Athletes with Specific Profiles\u201d, which intends to assist athletes in their training. In this paper, the main developments and outcomes from this project are described. The architecture of the system comprises a WSN deployed in the training area which provides communication with athletes\u2019 mobile equipments, performs location tasks, and harvests environmental data (wind speed, temperature, etc.). Athletes are equipped with a monitoring unit which obtains data from their training (pulse, speed, etc.). Besides, a decision engine combines these real-time data together with static information about the training field, and from the athlete, to direct athletes\u2019 training to fulfill some specific goal. A prototype is presented in this work for a cross country running scenario, where the objective is to maintain the heart rate (HR) of the runner in a target range. For each track, the environmental conditions (temperature of the next track), the current athlete condition (HR), and the intrinsic difficulty of the track (slopes) influence the performance of the athlete. The decision engine, implemented by means of (m; s)-splines interpolation, estimates the future HR and selects the best track in each fork of the circuit. This method achieves a success ratio in the order of 80%. Indeed, results demonstrate that if environmental information is not take into account to derive training orders, the success ratio is reduced notably.<\/jats:p>","DOI":"10.3390\/s100302359","type":"journal-article","created":{"date-parts":[[2010,3,23]],"date-time":"2010-03-23T04:23:22Z","timestamp":1269318202000},"page":"2359-2385","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["Ambient Intelligence Systems for Personalized Sport Training"],"prefix":"10.3390","volume":"10","author":[{"given":"Javier","family":"Vales-Alonso","sequence":"first","affiliation":[{"name":"Universidad Polit\u00e9cnica de Cartagena, Campus Muralla del Mar, Antiguo Cuartel de Antigones, Cartagena, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"L\u00f3pez-Matencio","sequence":"additional","affiliation":[{"name":"Universidad Polit\u00e9cnica de Cartagena, Campus Muralla del Mar, Antiguo Cuartel de Antigones, Cartagena, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francisco J.","family":"Gonzalez-Casta\u00f1o","sequence":"additional","affiliation":[{"name":"Universidad de Vigo, Campus Lagoas-Marcosende, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honorio","family":"Navarro-Hell\u00edn","sequence":"additional","affiliation":[{"name":"Universidad Polit\u00e9cnica de Cartagena, Campus Muralla del Mar, Antiguo Cuartel de Antigones, Cartagena, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro J.","family":"Ba\u00f1os-Guirao","sequence":"additional","affiliation":[{"name":"Universidad Polit\u00e9cnica de Cartagena, Campus Muralla del Mar, Antiguo Cuartel de Antigones, Cartagena, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francisco J.","family":"P\u00e9rez-Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Universidad Polit\u00e9cnica de Cartagena, Campus Muralla del Mar, Antiguo Cuartel de Antigones, Cartagena, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael P.","family":"Mart\u00ednez-\u00c1lvarez","sequence":"additional","affiliation":[{"name":"Gradiant, Campus Lagoas-Marcosende, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Gonz\u00e1lez-Jim\u00e9nez","sequence":"additional","affiliation":[{"name":"Gradiant, Campus Lagoas-Marcosende, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felipe","family":"Gil-Casti\u00f1eira","sequence":"additional","affiliation":[{"name":"Universidad de Vigo, Campus Lagoas-Marcosende, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Duro-Fern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Universidad de A Coru\u00f1a, R\u00faa Maestranza, A Coru\u00f1a, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2010,3,22]]},"reference":[{"key":"ref_1","unstructured":"Aarts, E., Harwig, R., and Schuurmans, M. (2001). \u201cAmbient Intelligence\u201d in the Invisible Future: The Seamless Integration of Technology into Everyday Life, McGraw-Hill."},{"key":"ref_2","unstructured":"Training plan bank with Polar devices. Available online: http:\/\/www.polarusa.com\/us-en\/trainingwithpolar\/trainingplanbank (accessed on 10 November 2009)."},{"key":"ref_3","unstructured":"http:\/\/www.educacion.es\/portada.html (in spanish) (accessed on 14 November 2009)."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Haskell, W., Lee, I., Pate, R.R., Powell, K.E., Blair, S.N., Franklin, B.A., Macera, C.A., Heath, G.W., Thompson, P.D., and Bauman, A. (2007). Physical activity and public health. Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation.","DOI":"10.1249\/mss.0b013e3180616b27"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/S0735-1097(00)01054-8","article-title":"Age-predicted maximal heart rate revisited","volume":"37","author":"Tanaka","year":"2001","journal-title":"J. Am. College Cardiol"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"S30","DOI":"10.1097\/00005768-200305001-00155","article-title":"Mathematical prediction of one hour cycle time trial performance under different ambient temperatures","volume":"35","author":"Backx","year":"2003","journal-title":"Med. Sci. Sports Exerc"},{"key":"ref_7","unstructured":"Le, K., Jaitner, T., Tobias, F., and Litz, L. (2008). Engineering of Sport 7, Springer Paris."},{"key":"ref_8","first-page":"26","article-title":"Instrumentation in sports biomechanics","volume":"2","year":"2007","journal-title":"J. Human Sport Exerc"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2529","DOI":"10.1016\/j.comnet.2006.11.018","article-title":"Wireless sensor network localization techniques","volume":"51","author":"Mao","year":"2007","journal-title":"Comput. Netw"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1136\/bjsm.2006.030015","article-title":"Wireless connectivity for health and sports monitoring: a review","volume":"41","author":"Armstrong","year":"2007","journal-title":"British J. Sports Med"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/MPRV.2006.82","article-title":"Rapid feedback systems for elite sports training","volume":"5","author":"Baca","year":"2006","journal-title":"IEEE Perv. Comput"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Pfisterer, D., Lipphardt, M., Buschmann, C., Hellbrueck, H., Fischer, S., and Hendrik Sauselin, J. (2006, January May). MarathonNet: adding value to large scale sport events\u2014A connectivity analysis. Nice, France.","DOI":"10.1145\/1142680.1142696"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/MPRV.2005.66","article-title":"Sensing and monitoring professional skiers","volume":"4","author":"Michahelles","year":"2005","journal-title":"IEEE Perv. Comput"},{"key":"ref_14","unstructured":"Hailes, S., Kalra, D., Hopper, A., Lasenby, J., Kerwin, D., and Wilson, A. Available online: http:\/\/www.sesame.ucl.ac.uk\/index.html\/ (accessed on 12 November 2009)."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/MPRV.2005.67","article-title":"Introducing wearable force sensors in martial arts","volume":"4","author":"Chi","year":"2005","journal-title":"IEEE Perv. Comput"},{"key":"ref_16","unstructured":"http:\/\/www.polarusa.com\/us-en\/b2bproducts\/teamsports (accessed on 20 November 2009)."},{"key":"ref_17","unstructured":"Jaitner, T., Trapp, M., Niebuhr, D., and Koch, J. (2006). Engineering of Sport 6, Springer Paris."},{"key":"ref_18","unstructured":"Le, K., Litz, L., and Jaitner, T. (2008). Engineering of Sport 7, Springer Paris."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Spelmezan, D., and Borchers, J. (2008, January April). Real-time snowboard training system. Florence, Italy.","DOI":"10.1145\/1358628.1358852"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Arvind, D.K., and Bates, A. (2008, January March). The speckled golfer. Tempe, AZ, USA.","DOI":"10.4108\/ICST.BODYNETS2008.2956"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Ghasemzadeh, H., and Jafari, R. (2009, January April). Sport training using body sensor networks: A statistical approach to measure wrist rotation for golf swing. Los Angeles, CA, USA.","DOI":"10.4108\/ICST.BODYNETS2009.6035"},{"key":"ref_22","unstructured":"The Collection Tree Protocol(CTP), TinyOS-2.X. Available online: http:\/\/www.tinyos.net\/tinyos-2.x\/doc\/html\/tep123.html (accessed on 10 October 2009)."},{"key":"ref_23","unstructured":"BMAC, Versatile low power media acces for WSN. Available online: http:\/\/www.polastre.com\/papers\/sensys04-bmac.pdf (accessed on 20 November 2009)."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1007\/978-3-540-79353-3_6","article-title":"An analytical approach to the optimal deployment of wireless sensor networks","volume":"133","year":"2008","journal-title":"Computational Intelligence for Remote Sensing"},{"key":"ref_25","unstructured":"http:\/\/www.xbow.com\/ (accessed on 12 October 2009)."},{"key":"ref_26","unstructured":"MICAz 2.4GHz. Available online: http:\/\/www.xbow.com\/Products\/productdetails.aspx?sid=164 (accessed on 12 October 2009)."},{"key":"ref_27","unstructured":"CC2420 Chip Documentation. Available online: http:\/\/docs.tinyos.net\/index.php\/CC2420 (accessed on 10 October 2009)."},{"key":"ref_28","unstructured":"Zigbee Alliance. Available online: http:\/\/www.zigbee.org\/LearnMore\/WhitePapers\/tabid\/257\/Default.aspx (accessed on 10 October 2009)."},{"key":"ref_29","unstructured":"http:\/\/www.tinyos.net\/ (accessed on 10 October 2009)."},{"key":"ref_30","unstructured":"MTS400. Available online: http:\/\/www.xbow.com\/Products\/productdetails.aspx?sid=177 (accessed on 8 October 2009)."},{"key":"ref_31","unstructured":"MTS400. Available online: http:\/\/www.stelladoradus.com\/2.4.ghz.planar.antennas.php (accessed on 14 October 2009)."},{"key":"ref_32","unstructured":"IMOTE2. Available online: http:\/\/www.xbow.com\/Products\/productdetails.aspx?sid=253 (accessed on 10 October 2009)."},{"key":"ref_33","unstructured":"IMB-400 Multimedia Board. Available online: http:\/\/www.xbow.com\/Products\/productdetails.aspx?sid=280 (accessed on 12 October 2009)."},{"key":"ref_34","unstructured":"Pulse Oximeter and Sensor. Available online: http:\/\/www.nonin.com\/products\/ipod-digital-oximeterand-sensor-all-in-one\/ (accessed on 8 October 2009)."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1016\/S0006-3495(91)82309-8","article-title":"Aging and the complexity of cardiovascular dynamics","volume":"59","author":"Kaplan","year":"1991","journal-title":"Biophys. J"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/S0378-4371(99)00295-2","article-title":"Nonlinear analysis of cardiac rhythm fluctuations using DFA method","volume":"272","author":"Absilz","year":"1999","journal-title":"Phys. A, Statist. Mech. Appl"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.jelectrocard.2003.09.021","article-title":"Measurement of heart rate variability by methods based on nonlinear dynamics","volume":"36","author":"Huikuri","year":"2003","journal-title":"J. Electrocardiol"},{"key":"ref_38","unstructured":"Veropoulos, K., Cristianini, N., and Campbell, C. (1999, January July). The application of support vector machines to medical decision support: A case study. Chania, Greece."},{"key":"ref_39","unstructured":"Morik, K., Brockhausen, P., and Joachims, T. (1999, January June). Combining statistical learning with a knowledge-based approach\u2014A case study in intensive care monitoring. Bled, Slovenia."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Yuchi, M., and Jo, J. (2008, January August). Heart rate prediction based on physical activity using feedforwad neural network. Daejeon, Korea.","DOI":"10.1109\/ICHIT.2008.175"},{"key":"ref_41","unstructured":"Lancaster, P., and Salkauskas, K. (1986). Curve and Surface Fitting. An Introduction, Academic Press."},{"key":"ref_42","unstructured":"Torrens, J.J. (1997, January July). Discrete smoothing Dm-splines: applications to surface fitting. Lillehammer, Norway."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/79.799930","article-title":"Splines: A perfect fit for signal and image processing","volume":"16","author":"Unser","year":"1999","journal-title":"Signal Process. Mag"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"L\u00f3pez de Silanes, M.C., and Arcang\u00e9li, R. (1989). Estimations de l erreur d approximation par splines d interpolation et d a justement d ordre (m,s). Numerische Mathematik, 449\u2013467.","DOI":"10.1007\/BF01396648"},{"key":"ref_45","unstructured":"Musnick, D., and Pierce, M. (2004). Mountaineers Books."},{"key":"ref_46","unstructured":"Mora, J. (2006). Triathlon Workout Planner, Human Kinetics."},{"key":"ref_47","unstructured":"LIBSVM. http:\/\/www.csie.ntu.edu.tw\/cjlin\/libsvm\/ (accessed on 23 November 2009)."},{"key":"ref_48","unstructured":"Haykin, S. (2008). Neural Networks and Learning Machines, Prentice-Hall."},{"key":"ref_49","unstructured":"Dasarathy, B.V. (1990). Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques, IEEE Computer Society."},{"key":"ref_50","unstructured":"Sharma, G., and Shaw, M.Q. (2006, January September). Thin-plate splines for printer data interpolation. Florence, Italy."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/3\/2359\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:01:50Z","timestamp":1760220110000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/3\/2359"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,3,22]]},"references-count":50,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2010,3]]}},"alternative-id":["s100302359"],"URL":"https:\/\/doi.org\/10.3390\/s100302359","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,3,22]]}}}