{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T23:55:57Z","timestamp":1783641357533,"version":"3.55.0"},"reference-count":119,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,16]],"date-time":"2021-10-16T00:00:00Z","timestamp":1634342400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Government of Spain","award":["RTI2018-095599-A-C22"],"award-info":[{"award-number":["RTI2018-095599-A-C22"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The increasingly ageing population and the tendency to live alone have led science and engineering researchers to search for health care solutions. In the COVID 19 pandemic, the elderly have been seriously affected in addition to suffering from isolation and its associated and psychological consequences. This paper provides an overview of the RobWell (Robotic-based Well-Being Monitoring and Coaching System for the Elderly in their Daily Activities) system. It is a system focused on the field of artificial intelligence for mood prediction and coaching. This paper presents a general overview of the initially proposed system as well as the preliminary results related to the home automation subsystem, autonomous robot navigation and mood estimation through machine learning prior to the final system integration, which will be discussed in future works. The main goal is to improve their mental well-being during their daily household activities. The system is composed of ambient intelligence with intelligent sensors, actuators and a robotic platform that interacts with the user. A test smart home system was set up in which the sensors, actuators and robotic platform were integrated and tested. For artificial intelligence applied to mood prediction, we used machine learning to classify several physiological signals into different moods. In robotics, it was concluded that the ROS autonomous navigation stack and its autodocking algorithm were not reliable enough for this task, while the robot\u2019s autonomy was sufficient. Semantic navigation, artificial intelligence and computer vision alternatives are being sought.<\/jats:p>","DOI":"10.3390\/s21206865","type":"journal-article","created":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T23:25:15Z","timestamp":1634513115000},"page":"6865","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6647-4215","authenticated-orcid":false,"given":"Francisco M.","family":"Calatrava-Nicol\u00e1s","sequence":"first","affiliation":[{"name":"ETSII (Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial), Technical University of Cartagena, St. Dr. Fleming, s\/n, 30203 Cartagena, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eduardo","family":"Guti\u00e9rrez-Maestro","sequence":"additional","affiliation":[{"name":"AASS (Applied Autonomous Sensor Systems), \u00d6rebro University, 70281 \u00d6rebro, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5318-952X","authenticated-orcid":false,"given":"Daniel","family":"Bautista-Salinas","sequence":"additional","affiliation":[{"name":"The Hamlyn Centre for Robotic Surgery, Imperial College London, London SW7 2AZ, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2294-688X","authenticated-orcid":false,"given":"Francisco J.","family":"Ortiz","sequence":"additional","affiliation":[{"name":"ETSII (Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial), Technical University of Cartagena, St. Dr. Fleming, s\/n, 30203 Cartagena, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joaqu\u00edn Roca","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"ETSII (Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial), Technical University of Cartagena, St. Dr. Fleming, s\/n, 30203 Cartagena, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 Alfonso","family":"Vera-Repullo","sequence":"additional","affiliation":[{"name":"ETSII (Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial), Technical University of Cartagena, St. Dr. Fleming, s\/n, 30203 Cartagena, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6092-1974","authenticated-orcid":false,"given":"Manuel","family":"Jim\u00e9nez-Buend\u00eda","sequence":"additional","affiliation":[{"name":"ETSII (Escuela T\u00e9cnica Superior de Ingenier\u00eda Industrial), Technical University of Cartagena, St. Dr. Fleming, s\/n, 30203 Cartagena, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8458-5314","authenticated-orcid":false,"given":"Inmaculada","family":"M\u00e9ndez","sequence":"additional","affiliation":[{"name":"Department of Evolutionary and Educational Psychology, Faculty of Psychology, Campus Regional Excellence Mare Nostrum, University of Murcia, 30100 Murcia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5836-331X","authenticated-orcid":false,"given":"Cecilia","family":"Ruiz-Esteban","sequence":"additional","affiliation":[{"name":"Department of Evolutionary and Educational Psychology, Faculty of Psychology, Campus Regional Excellence Mare Nostrum, University of Murcia, 30100 Murcia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oscar Mart\u00ednez","family":"Mozos","sequence":"additional","affiliation":[{"name":"AASS (Applied Autonomous Sensor Systems), \u00d6rebro University, 70281 \u00d6rebro, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,16]]},"reference":[{"key":"ref_1","unstructured":"EUROSTAT (2021, March 05). Mortality and Life Expectancy Statistics. Available online: https:\/\/ec.europa.eu\/eurostat\/statistics-explained\/index.php?title=Mortality_and_life_expectancy_statistics."},{"key":"ref_2","unstructured":"Freire Rodr\u00edguez, C., and Ferrad\u00e1s Canedo, M.d.M. (2016). Calidad de Vida y Bienestar en la Vejez, Ediciones Pir\u00e1mide."},{"key":"ref_3","unstructured":"INE (2021, March 10). Encuesta Continua de Hogares (ECH) 2018. Available online: https:\/\/www.ine.es\/prensa\/ech_2018.pdf."},{"key":"ref_4","first-page":"14","article-title":"Activities of daily living, quality of life, social support and depression levels of elderly individuals in Turkish society","volume":"65","author":"Unsar","year":"2015","journal-title":"J. Pak. Med. Assoc."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1093\/ppar\/prx030","article-title":"The Potential Public Health Relevance of Social Isolation and Loneliness: Prevalence, Epidemiology, and Risk Factors","volume":"27","year":"2017","journal-title":"Public Policy Aging Rep."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Holt-Lunstad, J., Smith, T.B., and Layton, J.B. (2010). Social relationships and mortality risk: A meta-analytic review. PLoS Med., 7.","DOI":"10.4016\/19865.01"},{"key":"ref_7","unstructured":"INE (2021, March 12). Encuesta Continua de Hogares (ECH) 2020. Available online: https:\/\/www.ine.es\/prensa\/ech_2020.pdf."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.regg.2020.05.006","article-title":"Impacto psicosocial de la COVID-19 en las personas mayores: Problemas y retos","volume":"55","year":"2020","journal-title":"Rev. Esp. Geriatr. Gerontol."},{"key":"ref_9","unstructured":"Turtlebot (2021, March 14). TurtleBot2. Available online: https:\/\/www.turtlebot.com\/turtlebot2\/."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Bautista-Salinas, D., Gonzalez, J.R., Mendez, I., and Mozos, O.M. (2019, January 23\u201327). Monitoring and Prediction of Mood in Elderly People during Daily Life Activities. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany.","DOI":"10.1109\/EMBC.2019.8857847"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Sun, F.T., Kuo, C., Cheng, H.T., Buthpitiya, S., Collins, P., and Griss, M. (2012). Activity-aware mental stress detection using physiological sensors. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer.","DOI":"10.1007\/978-3-642-29336-8_12"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1650041","DOI":"10.1142\/S0129065716500416","article-title":"Stress detection using wearable physiological and sociometric sensors","volume":"27","author":"Mozos","year":"2017","journal-title":"Int. J. Neural Syst."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Hovsepian, K., Al\u2019absi, M., Ertin, E., Kamarck, T., Nakajima, M., and Kumar, S. (2015, January 7\u201311). CStress: Towards a gold standard for continuous stress assessment in the mobile environment. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan.","DOI":"10.1145\/2750858.2807526"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1109\/TITS.2005.848368","article-title":"Detecting stress during real-world driving tasks using physiological sensors","volume":"6","author":"Healey","year":"2005","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_15","unstructured":"Magazine, D. (2021, March 16). El Robot Panasonic Hospi Rimo Ayuda en el Transporte de F\u00e1rmacos a los Pacientes Hospitalizados. Available online: https:\/\/www.digitalavmagazine.com\/2013\/10\/29\/el-robot-panasonic-hospi-rimo-ayuda-en-el-transporte-de-farmacos-a-los-pacientes-hospitalizados\/."},{"key":"ref_16","unstructured":"Grupo ADD (2021, March 20). Robot Moxi. Available online: https:\/\/grupoadd.es\/el-robot-moxi."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1485","DOI":"10.1109\/LRA.2019.2894592","article-title":"Towards Robotic Feeding: Role of Haptics in Fork-Based Food Manipulation","volume":"4","author":"Bhattacharjee","year":"2019","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Werle, J., and Hauer, K. (2016, January 26\u201331). Design of a bath robot system\u2014User definition and user requirements based on International Classification of Functioning, Disability and Health (ICF). Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, New York, NY, USA.","DOI":"10.1109\/ROMAN.2016.7745159"},{"key":"ref_19","unstructured":"King, C.H., Chen, T.L., Jain, A., and Kemp, C.C. (2010, January 18\u201322). Towards an assistive robot that autonomously performs bed baths for patient hygiene. Proceedings of the IEEE\/RSJ 2010 International Conference on Intelligent Robots and Systems, Taipei, Taiwan."},{"key":"ref_20","unstructured":"Samsung (2021, April 02). Samsung Bots, los Compa\u00f1eros del Futuro. Available online: https:\/\/news.samsung.com\/co\/samsung-bot-los-mejores-companeros-roboticos-en-camino-a-enriquecer-la-calidad-de-vida-de-las-personas."},{"key":"ref_21","unstructured":"Garc\u00eda, E. (2021, April 02). Rassel, el Robot que Ayuda a las Personas Mayores. Available online: https:\/\/cadenaser.com\/emisora\/2018\/12\/07\/radio_valencia\/1544174190_652009.html."},{"key":"ref_22","unstructured":"Pages, J., Marchionni, L., and Ferro, F. TIAGo: The Modular Robot That Adapts to Different Research Needs. Proceedings of the IROS Workshop on Robot Modularity, Available online: https:\/\/clawar.org\/wp-content\/uploads\/2016\/10\/P2.pdf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"03118001","DOI":"10.1061\/(ASCE)AE.1943-5568.0000337","article-title":"State-of-the-Art Review of Energy Smart Homes","volume":"25","author":"Kamel","year":"2019","journal-title":"J. Archit. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1080\/17508975.2015.1048767","article-title":"Smart home technologies that support independent living: Challenges and opportunities for the building industry\u2013a systematic mapping study","volume":"9","author":"Labonnote","year":"2017","journal-title":"Intell. Build. Int."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.procs.2015.08.338","article-title":"In-home health monitoring system for solitary elderly","volume":"63","author":"Tsukiyama","year":"2015","journal-title":"Procedia Comput. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1159\/000455168","article-title":"Pilot Test of a New Personal Health System Integrating Environmental and Wearable Sensors for Telemonitoring and Care of Elderly People at Home (SMARTA Project)","volume":"63","author":"Pigini","year":"2017","journal-title":"Gerontology"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.robot.2012.10.005","article-title":"Integration of service robots in the smart home by means of UPnP: A surveillance robot case study","volume":"61","author":"Bora","year":"2013","journal-title":"Rob. Auton. Syst."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Wienke, J., and Wrede, S. (2011, January 20\u201322). A middleware for collaborative research in experimental robotics. Proceedings of the 2011 IEEE\/SICE International Symposium on System Integration, Kyoto, Japan.","DOI":"10.1109\/SII.2011.6147617"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/s13218-017-0492-x","article-title":"The Cognitive Service Robotics Apartment: A Versatile Environment for Human\u2013Machine Interaction Research","volume":"31","author":"Wrede","year":"2017","journal-title":"KI Kunstl. Intell."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Bellocchio, E., Costante, G., Cascianelli, S., Valigi, P., and Ciarfuglia, T.A. (2016, January 12\u201315). SmartSEAL: A ros based home automation framework for heterogeneous devices interconnection in smart buildings. Proceedings of the IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, Trento, Italy.","DOI":"10.1109\/ISC2.2016.7580798"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Uchechukwu, D., Siddique, A., Maksatbek, A., and Afanasyev, I. (2019, January 5\u20138). ROS-based Integration of Smart Space and a Mobile Robot as the Internet of Robotic Things. Proceedings of the Conference of Open Innovation Association, FRUCT, Helsinki, Finland.","DOI":"10.23919\/FRUCT48121.2019.8981532"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"9489","DOI":"10.1109\/ACCESS.2017.2647747","article-title":"Internet of Robotic Things: Concept, Technologies, and Challenges","volume":"4","author":"Ray","year":"2016","journal-title":"IEEE Access"},{"key":"ref_33","unstructured":"Chakraborti, T., Srivastava, S., Pinto, A., and Kambhampati, S. (2017). An ROS-based shared communication middleware for plug and play modular intelligent design of smart systems. arXiv."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/BF01682026","article-title":"Affective wearables","volume":"1","author":"Picard","year":"1997","journal-title":"Pers. Technol."},{"key":"ref_35","unstructured":"Pentland, A. (2021, March 22). Social Physics: How Social Networks Can Make Us Smarter. Available online: https:\/\/www.amazon.es\/Social-Physics-Networks-Make-Smarter-ebook\/dp\/B00DMCUYRM."},{"key":"ref_36","unstructured":"Sarkar, N. (2002, January 11\u201315). Psychophysiological control architecture for human-robot coordination-concepts and initial experiments. Proceedings of the 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), Washington, DC, USA."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1017\/S0263574703005319","article-title":"Anxiety detecting robotic system\u2014Towards implicit human-robot collaboration","volume":"22","author":"Rani","year":"2004","journal-title":"Robotica"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Bethel, C.L., Salomon, K., Murphy, R.R., and Burke, J.L. (2007, January 26\u201329). Survey of Psychophysiology Measurements Applied to Human-Robot Interaction. Proceedings of the RO-MAN 2007\u2014The 16th IEEE International Symposium on Robot and Human Interactive Communication, Jeju Island, Korea.","DOI":"10.1109\/ROMAN.2007.4415182"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"492","DOI":"10.3390\/ijerph6020492","article-title":"Emerging patient-driven health care models: An examination of health social networks, consumer personalized medicine and quantified self-tracking","volume":"6","author":"Swan","year":"2009","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"ref_40","unstructured":"Aarts, E., Harwig, R., and Schuurmans, M. (2001). Ambient intelligence. The Invisible Future: The Seamless Integration of Technology into Everyday Life, McGraw-Hill, Inc."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Kleinberger, T., Becker, M., Ras, E., Holzinger, A., and M\u00fcller, P. (2007). Ambient Intelligence in Assisted Living: Enable Elderly People to Handle Future Interfaces, Springer.","DOI":"10.1007\/978-3-540-73281-5_11"},{"key":"ref_42","unstructured":"Garzo, A., Montalban, I., Le\u00f3n, E., and Schlatter, S. (2021, April 28). Sentient: An Approach to Ambient Assisted Emotional Regulation. Available online: https:\/\/www.researchgate.net\/profile\/Ainara-Garzo\/publication\/259459808_Sentient_An_approach_to_Ambient_Assisted_Emotional_Regulation\/links\/0a85e533d3bffc5e98000000\/Sentient-An-approach-to-Ambient-Assisted-Emotional-Regulation.pdf."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Karahano\u011flu, A., and Erbu\u011f, \u00c7. (2011). Perceived Qualities of Smart Wearables: Determinants of User Acceptance, Association for Computing Machinery.","DOI":"10.1145\/2347504.2347533"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1145\/2629633","article-title":"Wearables: Has the age of smartwatches finally arrived?","volume":"58","author":"Rawassizadeh","year":"2014","journal-title":"Commun. ACM"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Oung, Q.W., Hariharan, M., Lee, H.L., Basah, S.N., Sarillee, M., and Lee, C.H. (2015, January 27\u201329). Wearable multimodal sensors for evaluation of patients with Parkinson disease. Proceedings of the 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia.","DOI":"10.1109\/ICCSCE.2015.7482196"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"131","DOI":"10.5960\/dzsm.2016.237","article-title":"Wearables and Apps\u2014Modern Diagnostic Frameworks for Health Promotion through Sport","volume":"2016","author":"Schwartz","year":"2016","journal-title":"Dtsch. Z. Sportmed."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"108074","DOI":"10.1016\/j.comnet.2021.108074","article-title":"A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges","volume":"193","author":"Ometov","year":"2021","journal-title":"Comput. Netw."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"69200","DOI":"10.1109\/ACCESS.2020.2986329","article-title":"Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey","volume":"8","author":"Vahidnia","year":"2020","journal-title":"IEEE Access"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Schneegass, S., and Amft, O. (2017). Designing for Smart Clothes and Wearables\u2014User Experience Design Perspective. Smart Textiles: Fundamentals, Design, and Interaction, Springer International Publishing.","DOI":"10.1007\/978-3-319-50124-6"},{"key":"ref_50","first-page":"85","article-title":"Spheres of Practice for the Co-design of Wearables","volume":"4","author":"Fairburn","year":"2016","journal-title":"J. Text. Des. Res. Pract."},{"key":"ref_51","first-page":"40","article-title":"Design principles for health wearables","volume":"5","author":"Jones","year":"2017","journal-title":"Commun. Des. Q."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Buchem, I., Klamma, R., and Wild, F. (2019). Wearables for Older Adults: Requirements, Design, and User Experience. Perspectives on Wearable Enhanced Learning (WELL): Current Trends, Research, and Practice, Springer International Publishing.","DOI":"10.1007\/978-3-319-64301-4"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Motti, V.G., and Caine, K. (2015). Users\u2019 Privacy Concerns About Wearables, Springer.","DOI":"10.1007\/978-3-662-48051-9_17"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Piwek, L., Ellis, D.A., Andrews, S., and Joinson, A. (2016). The Rise of Consumer Health Wearables: Promises and Barriers. PLoS Med., 13.","DOI":"10.1371\/journal.pmed.1001953"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1706910","DOI":"10.1002\/adma.201706910","article-title":"Wearables in Medicine","volume":"30","author":"Yetisen","year":"2018","journal-title":"Adv. Mater."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Chiauzzi, E., Rodarte, C., and DasMahapatra, P. (2015). Patient-centered activity monitoring in the self-management of chronic health conditions. BMC Med., 13.","DOI":"10.1186\/s12916-015-0319-2"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1002\/mds.26642","article-title":"Technology in Parkinson\u2019s disease: Challenges and opportunities","volume":"31","author":"Espay","year":"2016","journal-title":"Mov. Disord."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1159\/000479018","article-title":"Multiple Wearable Sensors in Parkinson and Huntington Disease Individuals: A Pilot Study in Clinic and at Home","volume":"1","author":"Adams","year":"2017","journal-title":"Digit. Biomark."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1002\/ana.25548","article-title":"Gait analysis with wearables predicts conversion to Parkinson disease","volume":"86","author":"Elshehabi","year":"2019","journal-title":"Ann. Neurol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.msard.2016.10.007","article-title":"Clinical assessment of gait in individuals with multiple sclerosis using wearable inertial sensors: Comparison with patient-based measure","volume":"10","author":"Pau","year":"2016","journal-title":"Mult. Scler. Relat. Disord."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1212\/CPJ.0000000000000382","article-title":"Wearable biosensors to monitor disability in multiple sclerosis","volume":"7","author":"Bradshaw","year":"2017","journal-title":"Neurol. Clin. Pract."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Moon, Y., McGinnis, R.S., Seagers, K., Motl, R.W., Sheth, N., Wright, J.A., Ghaffari, R., and Sosnoff, J.J. (2017). Monitoring gait in multiple sclerosis with novel wearable motion sensors. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0171346"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"075004","DOI":"10.1088\/1361-6579\/aac0a3","article-title":"Wearable technology reveals gait compensations, unstable walking patterns and fatigue in people with multiple sclerosis","volume":"39","author":"Psarakis","year":"2018","journal-title":"Physiol. Meas."},{"key":"ref_64","first-page":"e7627643","article-title":"The Role of Wearable Devices in Multiple Sclerosis","volume":"2018","author":"Sparaco","year":"2018","journal-title":"Mult. Scler. Int."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1007\/s11910-019-0997-9","article-title":"Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis","volume":"19","author":"Frechette","year":"2019","journal-title":"Curr. Neurol. Neurosci. Rep."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2897","DOI":"10.1007\/s00415-020-09928-8","article-title":"Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple sclerosis in a clinical setting","volume":"267","author":"Angelini","year":"2020","journal-title":"J. Neurol."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Gonz\u00e1lez-Landero, F., Garc\u00eda-Magari\u00f1o, I., Lacuesta, R., and Lloret, J. (2018). Green Communication for Tracking Heart Rate with Smartbands. Sensors, 18.","DOI":"10.3390\/s18082652"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"175412","DOI":"10.1109\/ACCESS.2020.3025270","article-title":"Towards Energy Efficiency in the Internet of Wearable Things: A Systematic Review","volume":"8","author":"Qaim","year":"2020","journal-title":"IEEE Access"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"64266","DOI":"10.1109\/ACCESS.2019.2917061","article-title":"A Quantitative Approach for Evaluating the Quality of Experience of Smart-Wearables From the Quality of Data and Quality of Information: An End User Perspective","volume":"7","author":"Pal","year":"2019","journal-title":"IEEE Access"},{"key":"ref_70","first-page":"1","article-title":"User Satisfaction with Wearables","volume":"12","year":"2020","journal-title":"AIS Trans. Hum.-Comput. Interact."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1177\/2050157920958440","article-title":"User engagement with smart wearables: Four defining factors and a process model","volume":"9","author":"Oh","year":"2021","journal-title":"Mob. Media Commun."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1080\/0960085X.2018.1512945","article-title":"An affordance lens for wearable information systems","volume":"28","year":"2019","journal-title":"Eur. J. Inf. Syst."},{"key":"ref_73","unstructured":"Ledger, D., and McCaffrey, D. (2014). Inside Wearables: How the Science of Human Behavior Change Offers the Secret to Long-Term Engagement, Endeavour Partners LLC."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1080\/0267257X.2016.1234505","article-title":"Exploring the factors that support adoption and sustained use of health and fitness wearables","volume":"33","author":"Canhoto","year":"2017","journal-title":"J. Mark. Manag."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41746-021-00418-3","article-title":"The emerging clinical role of wearables: Factors for successful implementation in healthcare","volume":"4","author":"Smuck","year":"2021","journal-title":"NPJ Digit. Med."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1037\/h0077714","article-title":"A circumplex model of affect","volume":"39","author":"Russell","year":"1980","journal-title":"J. Pers. Soc. Psychol."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Pepa, L., Capecci, M., and Ceravolo, M.G. (2019, January 19\u201321). Smartwatch based emotion recognition in Parkinson\u2019s disease. Proceedings of the 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT), Ancona, Italy.","DOI":"10.1109\/ISCE.2019.8901033"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3328911","article-title":"BoostMeUp: Improving Cognitive Performance in the Moment by Unobtrusively Regulating Emotions with a Smartwatch","volume":"3","author":"Costa","year":"2019","journal-title":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3281630","article-title":"Memento: An Emotion-driven Lifelogging System with Wearables","volume":"15","author":"Jiang","year":"2019","journal-title":"ACM Trans. Sens. Netw."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Al Nahian, M.J., Ghosh, T., Uddin, M.N., Islam, M.M., Mahmud, M., and Kaiser, M.S. (2020). Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder, Springer International Publishing.","DOI":"10.1007\/978-3-030-59277-6_25"},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Vaizman, Y., Ellis, K., and Lanckriet, G. (2017). Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches. arXiv.","DOI":"10.1109\/MPRV.2017.3971131"},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Vaizman, Y., Ellis, K., Lanckriet, G., and Weibel, N. (2018, January 21\u201326). ExtraSensory App: Data Collection In-the-Wild with Rich User Interface to Self-Report Behavior. Proceedings of the CHI \u201918: CHI Conference on Human Factors in Computing Systems, Montreal, QC, Canada.","DOI":"10.1145\/3173574.3174128"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"e17818","DOI":"10.2196\/17818","article-title":"Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study","volume":"8","author":"Sultana","year":"2020","journal-title":"JMIR mHealth uHealth"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Saganowski, S., Dutkowiak, A., Dziadek, A., Dzie\u017cyc, M., Komoszy\u0144ska, J., Michalska, W., Polak, A., Ujma, M., and Kazienko, P. (2020, January 23\u201327). Emotion Recognition Using Wearables: A Systematic Literature Review\u2014Work-in-progress. Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Austin, TX, USA.","DOI":"10.1109\/PerComWorkshops48775.2020.9156096"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1109\/34.954607","article-title":"Toward machine emotional intelligence: Analysis of affective physiological state","volume":"23","author":"Picard","year":"2001","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"H\u00e4nsel, K., Alomainy, A., and Haddadi, H. (2016). Large Scale Mood and Stress Self-Assessments on a Smartwatch, Association for Computing Machinery.","DOI":"10.1145\/2968219.2968305"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1145\/3427384.3427393","article-title":"BoostMeUp: A Smartwatch App to Regulate Emotions and Improve Cognitive Performance","volume":"24","author":"Costa","year":"2020","journal-title":"GetMobile Mob. Comput. Commun."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Miri, P., Uusberg, A., Culbertson, H., Flory, R., Uusberg, H., Gross, J.J., Marzullo, K., and Isbister, K. (2018). Emotion Regulation in the Wild: Introducing WEHAB System Architecture, Association for Computing Machinery.","DOI":"10.1145\/3170427.3188495"},{"key":"ref_89","first-page":"906","article-title":"The Emerging Role of Artificial Intelligence in Modern Society","volume":"4","year":"2016","journal-title":"Int. J. Creat. Res. Thoughts"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1146\/annurev.clinpsy.3.022806.091415","article-title":"Ecological momentary assessment","volume":"4","author":"Shiffman","year":"2008","journal-title":"Annu. Rev. Clin. Psychol."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"e14149","DOI":"10.2196\/14149","article-title":"Depression prediction by using ecological momentary assessment, actiwatch data, and machine learning: Observational study on older adults living alone","volume":"7","author":"Kim","year":"2019","journal-title":"JMIR mHealth uHealth"},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Kocielnik, R., Sidorova, N., Maggi, F.M., Ouwerkerk, M., and Westerink, J.H.D.M. (2013, January 20\u201322). Smart technologies for long-term stress monitoring at work. Proceedings of the CBMS 2013\u201426th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal.","DOI":"10.1109\/CBMS.2013.6627764"},{"key":"ref_93","unstructured":"(2021, May 10). Home Assistant. Available online: https:\/\/www.home-assistant.io\/."},{"key":"ref_94","unstructured":"ROS.org (2021, May 02). ROS Navigation. Available online: http:\/\/wiki.ros.org\/navigation."},{"key":"ref_95","unstructured":"ROS.org (2021, June 05). Setup and Configuration of the Navigation Stack on a Robot. Available online: http:\/\/wiki.ros.org\/navigation\/Tutorials\/RobotSetup."},{"key":"ref_96","unstructured":"ROS.org (2021, June 02). Turtlebot Bringup. Available online: http:\/\/wiki.ros.org\/turtlebot_bringup."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Healey, J., Nachman, L., Subramanian, S., Shahabdeen, J., and Morris, M. (2010). Out of the lab and into the fray: Towards modeling emotion in everyday life. Pervasive Computing, Springer.","DOI":"10.1007\/978-3-642-12654-3_10"},{"key":"ref_98","unstructured":"Plarre, K., Raij, A., Hossain, S.M., Ali, A.A., Nakajima, M., Al\u2019Absi, M., Ertin, E., Kamarck, T., Kumar, S., and Scott, M. (2011, January 12\u201314). Continuous inference of psychological stress from sensory measurements collected in the natural environment. Proceedings of the 10th ACM\/IEEE International Conference on Information Processing in Sensor Networks, Chicago, IL, USA."},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Zangr\u00f3niz, R., Mart\u00ednez-Rodrigo, A., Pastor, J.M., L\u00f3pez, M.T., and Fern\u00e1ndez-Caballero, A. (2017). Electrodermal activity sensor for classification of calm\/distress condition. Sensors, 17.","DOI":"10.3390\/s17102324"},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"Vandecasteele, K., L\u00e1zaro, J., Cleeren, E., Claes, K., van Paesschen, W., van Huffel, S., and Hunyadi, B. (2018, January 19\u201321). Artifact detection of wrist photoplethysmograph signals. Proceedings of the BIOSIGNALS 2018\u201411th International Conference on Bio-Inspired Systems and Signal Processing, Funchal, Portugal.","DOI":"10.5220\/0006594301820189"},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Ghasemzadeh, H., Loseu, V., Guenterberg, E., and Jafari, R. (2011, January 1\u20133). Sport training using body sensor networks: A statistical approach to measure wrist rotation for golf swing. Proceedings of the BODYNETS 2009\u20144th International ICST Conference on Body Area Networks, Los Angeles, CA, USA.","DOI":"10.4108\/ICST.BODYNETS2009.6035"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"e2258","DOI":"10.7717\/peerj.2258","article-title":"Emotion recognition based on customized smart bracelet with built-in accelerometer","volume":"2016","author":"Zhang","year":"2016","journal-title":"PeerJ"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.jbi.2017.08.006","article-title":"Monitoring stress with a wrist device using context","volume":"73","author":"Gjoreski","year":"2017","journal-title":"J. Biomed. Inform."},{"key":"ref_104","unstructured":"Ramshur, J. (2010). Design, Evaluation, and Applicaion of Heart Rate Variability Analysis Software (HRVAS). [Master\u2019s Thesis, University of Memphis]."},{"key":"ref_105","unstructured":"(2021, June 25). Empatica Inc. Available online: https:\/\/www.empatica.com\/."},{"key":"ref_106","first-page":"524","article-title":"Brief emotional intelligence inventory for senior citizens (EQ-i-M20)","volume":"26","author":"Rubio","year":"2014","journal-title":"Psicothema"},{"key":"ref_107","doi-asserted-by":"crossref","unstructured":"Bar-on, J.D., and Parker, R. (2000). Bar-On Emotional Quotient Inventory: Youth Version(BarOn EQ-i:YV), Technical Manual, MHS.","DOI":"10.1037\/t14077-000"},{"key":"ref_108","first-page":"53","article-title":"Construction and Initial Validation of a Questionnaire to Assess Quality of Life in Older Institutionalized People","volume":"2","author":"Molero","year":"2012","journal-title":"Eur. J. Investig. Health Psychol. Educ."},{"key":"ref_109","unstructured":"Spielberger, C., Gorsuch, R., and Lushene, R. (1970). STAI Manual for the State-Trait Anxiety Inventory. Self-Evaluation Questionnaire, TEA Ediciones."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1136\/jnnp.23.1.56","article-title":"A rating scale for depression","volume":"23","author":"Hamilton","year":"1960","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_111","first-page":"620","article-title":"Versi\u00f3n espa\u00f1ola del cuestionario de Yesavage abreviado (GDS) para el despistaje de depresi\u00f3n en mayores de 65 a\u00f1os: Adaptaci\u00f3n y validaci\u00f3n","volume":"12","year":"2002","journal-title":"MEDIFAM Rev. Med. Fam. Comunitaria"},{"key":"ref_112","first-page":"189","article-title":"El miniexamen, cognoscitivo (un \u201ctest\u201d sencillo, pr\u00e1ctico, para detectar alteraciones intelectuales en pacientes m\u00e9dicos)","volume":"7","author":"Lobo","year":"1979","journal-title":"Actas Luso-Esp. Neurol. Psiquiatr. Cienc. Afines"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1176\/ajp.139.9.1136","article-title":"The global deterioration scale for assessment of primary degenerative dementia","volume":"139","author":"Reisberg","year":"1982","journal-title":"Am. J. Psychiatry"},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1001\/jama.1963.03060120024016","article-title":"Studies of Illness in the Aged: The Index of ADL: A Standardized Measure of Biological and Psychosocial Function","volume":"185","author":"Katz","year":"1963","journal-title":"JAMA J. Am. Med. Assoc."},{"key":"ref_115","first-page":"572","article-title":"Adaptaci\u00f3n espa\u00f1ola de las escalas de bienestar psicol\u00f3gico de Ryff","volume":"18","author":"Blanco","year":"2006","journal-title":"Psicothema"},{"key":"ref_116","first-page":"69","article-title":"Estudio sobre la traducci\u00f3n al Espa\u00f1ol y las propiedades psicom\u00e9tricas de las escalas de Afecto Positivo y Negativo (PANAS)","volume":"26","author":"Robles","year":"2003","journal-title":"Salud Ment."},{"key":"ref_117","unstructured":"Costa, P.T., and McCrae, R.R. (1999). Inventario de Personalidad NEO Revisado (NEO PI-R) e Inventario NEO Reducido de Cinco Factores (NEO-FFI). Man. Prof., TEA Ediciones."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM: A Library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"ref_119","doi-asserted-by":"crossref","unstructured":"Likamwa, R., Liu, Y., Lane, N.D., and Zhong, L. (2013, January 25\u201328). MoodScope: Building a mood sensor from smartphone usage patterns. Proceedings of the MobiSys 2013\u201411th Annual International Conference on Mobile Systems, Applications, and Services, Taipei, Taiwan.","DOI":"10.1145\/2462456.2483967"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/20\/6865\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:15:55Z","timestamp":1760166955000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/20\/6865"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,16]]},"references-count":119,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2021,10]]}},"alternative-id":["s21206865"],"URL":"https:\/\/doi.org\/10.3390\/s21206865","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,16]]}}}