A literary revision of ambient inteligence for the care of the elderly at smart homes

Las personas tienen necesidades diversas y cambiantes a medida que envejecen y el número de personas que viven con alguna discapacidad está constantemente en aumento. Las casas inteligentes tienen un potencial único para proporcionar vida asistida, pero a menudo están diseñados para resolver un prob...

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Autores:: Díaz-Charris, Luis David
Ospino, Juan

Tipo de recurso:: Article of journal

Fecha de publicación:: 2022

Institución:: Corporación Universidad de la Costa

Repositorio:: REDICUC - Repositorio CUC

Idioma:: eng

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dc.title.eng.fl_str_mv	A literary revision of ambient inteligence for the care of the elderly at smart homes
title	A literary revision of ambient inteligence for the care of the elderly at smart homes
spellingShingle	A literary revision of ambient inteligence for the care of the elderly at smart homes Inteligencia Ambiental Hogares inteligentes Automatización del hogar Personas mayores Discapacidad Ambient intelligence Smart homes Home automation Elderly Disability
title_short	A literary revision of ambient inteligence for the care of the elderly at smart homes
title_full	A literary revision of ambient inteligence for the care of the elderly at smart homes
title_fullStr	A literary revision of ambient inteligence for the care of the elderly at smart homes
title_full_unstemmed	A literary revision of ambient inteligence for the care of the elderly at smart homes
title_sort	A literary revision of ambient inteligence for the care of the elderly at smart homes
dc.creator.fl_str_mv	Díaz-Charris, Luis David Ospino, Juan
dc.contributor.author.none.fl_str_mv	Díaz-Charris, Luis David Ospino, Juan
dc.subject.proposal.spa.fl_str_mv	Inteligencia Ambiental Hogares inteligentes Automatización del hogar Personas mayores Discapacidad
topic	Inteligencia Ambiental Hogares inteligentes Automatización del hogar Personas mayores Discapacidad Ambient intelligence Smart homes Home automation Elderly Disability
dc.subject.proposal.eng.fl_str_mv	Ambient intelligence Smart homes Home automation Elderly Disability
description	Las personas tienen necesidades diversas y cambiantes a medida que envejecen y el número de personas que viven con alguna discapacidad está constantemente en aumento. Las casas inteligentes tienen un potencial único para proporcionar vida asistida, pero a menudo están diseñados para resolver un problema específico; por ejemplo, equipadas con reconocimiento de voz para personas ciegas o con pantallas inteligentes para personas sordomudas. Por esta razón se realiza una investigación con el fin de identificar esos componentes de la inteligencia ambiental aplicada en la domótica dirigida a la población del adulto mayor o pacientes que viven con alguna discapacidad física o mental. Se realizó una revisión de la literatura en tres (3) distintas bases de datos en el contexto internacional. La temática abordada es sobre la inteligencia ambiental aplicada en la domótica. Dirigido a una población en específico que es el adulto mayor o pacientes que viven con alguna discapacidad debido a la edad. En esta investigación Se identificaron los objetivos principales, factores importantes y la confiabilidad de esta tecnología aplicada en los hogares inteligentes teniendo en cuenta la población a la que va dirigida
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-12-27T21:12:28Z
dc.date.available.none.fl_str_mv	2022-12-27T21:12:28Z
dc.date.issued.none.fl_str_mv	2022-07-07
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.citation.spa.fl_str_mv	J. Ariza-Ospino y L. Díaz-Charris, “A literary revision of ambient inteligence for the care of the elderly at smart homes”, J. Comput. Electron. Sci.: Theory Appl., vol. 3, no. 2, pp. 3–10, 2022. https://doi.org/10.17981/cesta.03.02.2022.01
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dc.identifier.doi.none.fl_str_mv	10.17981/cesta.03.02.2022.01
dc.identifier.eissn.spa.fl_str_mv	2745-0090
dc.identifier.instname.spa.fl_str_mv	Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv	REDICUC - Repositorio CUC
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identifier_str_mv	J. Ariza-Ospino y L. Díaz-Charris, “A literary revision of ambient inteligence for the care of the elderly at smart homes”, J. Comput. Electron. Sci.: Theory Appl., vol. 3, no. 2, pp. 3–10, 2022. https://doi.org/10.17981/cesta.03.02.2022.01 10.17981/cesta.03.02.2022.01 2745-0090 Corporación Universidad de la Costa REDICUC - Repositorio CUC
url	https://hdl.handle.net/11323/9725 https://repositorio.cuc.edu.co/
dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.ispartofjournal.spa.fl_str_mv	Computer and Electronic Sciences: Theory and Applications - CESTA
dc.relation.references.spa.fl_str_mv	T. Chiridza, J. Wesson & D. Vogts, “A Smart Home environment to support risk monitoring for the elderly living indepen dently,” South African Comput. J., vol. 31, no. 1, pp. 1–23, July. 2019. https://doi.org/10.18489/sacj.v31i1.534 J. M. Alcalá, J. Ureña, Á. Hernández & D. Gualda, “Assessing human activity in elderly people using non-intrusive load monitoring,” Sensors, vol. 17, no. 2, pp. 1–17, Feb. 2017. https://doi.org/10.3390/s17020351 P. Bellagente, C. Crema, A. Depari, A. Flammini, G. Lenzi, & S. Rinaldi, “Framework-oriented approach to ease the devel opment of ambient assisted-living systems,” IEEE Syst J, vol. 13, no. 4, pp. 4421–4432, Dec. 2019. https://doi.org/10.1109/ JSYST.2019.2924150 E. De-La-Hoz-Franco, P. Ariza-Colpas, J. M. Quero & M. Espinilla, “Sensor-based datasets for human activity recog nition - A systematic review of literature,” IEEE Access, vol. 6, pp. 59192–59210, Oct. 2018. https://doi.org/10.1109/AC CESS.2018.2873502 J. G. Giménez, J. C. Augusto & J. Stewart, “AnAbEL: towards empowering people living with dementia in ambient assisted living,” Univ Access Inf Soc, pp. 1–21, Nov. 2020. https://doi.org/10.1007/s10209-020-00760-5 A. A. Vogan, F. Alnajjar, M. Gochoo & S. Khalid, “Robots, AI, and cognitive training in an era of mass age-related cognitive decline: A systematic review,” IEEE Access, vol. 8, pp. 18284–18304, Jan. 2020. https://doi.org/10.1109/ACCESS.2020.2966819 S.-L. Chua, S. Marsland & H. Guesgen, “A supervised learning approach for behaviour recognition in smart homes,” J. Ambi ent Intell Smart Environ, vol. 8, no. 3, pp. 259–271, Apr. 2016. https://doi.org/10.3233/AIS-160378 L. Jiang, B. Gao, J. Gu, Y. Chen, Z. Gao, X. Ma, K. Kendrick & W. Woo, “Wearable Long-Term Social Sensing for Mental Wellbeing,” IEEE Sens J, vol. 19, no. 19, pp. 8532–8542, Oct. 2019. https://doi.org/10.1109/JSEN.2018.2877427 A. Grgurić, M. Mošmondor & D. Huljenić, “The smarthabits: An intelligent privacy-aware home care assistance system,” Sensors, vol. 19, no. 4, pp. 1–24, Feb. 2019. https://doi.org/10.3390/s19040907 F. Martínez-Santiago, M. R. García-Viedma, J. A. Williams, L. T. Slater & G. V. Gkoutos, “Aging Neuro-Behavior Ontology,” Appl Ontol, vol. 15, no. 2, pp. 219–239, May. 2020. https://doi.org/10.3233/AO-200229 N. Thakur & C. Y. Han, “An ambient intelligence-based human behavior monitoring framework for ubiquitous environ ments,” J Inf, vol. 12, no. 2, pp. 1–26, Feb. 2021. https://doi.org/10.3390/info12020081 M. Espinilla, L. Martínez, J. Medina & C. Nugent, “The experience of developing the UJAmI Smart Lab,” IEEE Access, vol. 6, pp. 34631–34642, Jun. 2018. https://doi.org/10.1109/ACCESS.2018.2849226 N. Rodrigues & A. Pereira, “A user-centred well-being home for the elderly,” Appl. Sci., vol. 8, no. 6, pp. 1–16, May. 2018. https://doi.org/10.3390/app8060850 A. M. Davani, A. A. N. Shirehjini, & S. Daraei, “Towards interacting with smarter systems,” J Ambient Intell Humaniz Comput, vol. 9, no. 1, pp. 187–209, Jan. 2017. https://doi.org/10.1007/s12652-016-0433-9 A. Lotfi, S. Albawendi, H. Powell, K. Appiah & C. Langensiepen, “Supporting Independent Living for Older Adults; Employ ing a Visual Based Fall Detection Through Analysing the Motion and Shape of the Human Body,” IEEE Access, vol. 6, pp. 70272–70282, Nov. 2018. https://doi.org/10.1109/ACCESS.2018.2881237 F. D. Casagrande, J. Torresen & E. Zouganeli, “Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data from Homes with Older Adults,” IEEE Access, vol. 7, pp. 111012–111029, Aug. 2019. https://doi.org/10.1109/ ACCESS.2019.2933994 E. Borelli, G. Paolini, F. Antoniazzi, M. Barbiroli, F. Benassi, F. Chesani, L. Chiari, M. Fantini, F. Fuschini, A. Galassi, G. Giacobone, S. Imbesi, M. Licciardello, D. Loreti, M. Marchi, D. Masotti, P. Mello, S. Mellone, G. Mincolelli, C. Raffaelli, L. Roffia, T. Cinotti, C. Tacconi, P. Tamburini, M. Zoli & A. Costanzo, “HABITAT: An IoT solution for independent elderly,” Sensors, vol. 19, no. 5, pp. 1–23, Mar. 2019. https://doi.org/10.3390/s19051258 M. Daher, A. Diab, M. E. El Najjar, M. Ali Khalil & F. Charpillet, “Elder Tracking and Fall Detection System Using Smart Tiles,” IEEE Sens J, vol. 17, no. 2, pp. 469–479, Jan. 2017. https://doi.org/10.1109/JSEN.2016.2625099 S. Helal & C. N. Bull, “From smart homes to smart-ready homes and communities,” Dement Geriatr Cogn Disord, vol. 47, no. 3, pp. 157–163, Jun. 2019. https://doi.org/10.1159/000497803 C. Chalmers, P. Fergus, C. A. Curbelo, S. Sikdar, F. Ball & B. Kendall, “Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation,” IEEE Trans Emerg Top Comput, vol. 10, no. 1, pp. 157-169, May. 2020. https://doi.org/10.1109/TETC.2020.2993177 M. Amiribesheli & H. Bouchachia, “A tailored smart home for dementia care,” J. Ambient Intell Humaniz Comput, vol. 9, no. 6, pp. 1755–1782, Nov. 2018. https://doi.org/10.1007/s12652-017-0645-7 F. Veronese, A. Masciadri, S. Comai, M. Matteucci & F. Salice, “Behavior Drift Detection Based on Anomalies Identification in Home Living Quantitative Indicators,” Technologies, vol. 6, no. 1, p. 1–15, Jan. 2018. https://doi.org/10.3390/technolo gies6010016 G. Grossi, R. Lanzarotti, P. Napoletano, N. Noceti & F. Odone, “Positive technology for elderly well-being: A review,” Pattern Recognit. Lett., vol. 137, pp. 61–70, Sept. 2020. https://doi.org/10.1016/j.patrec.2019.03.016 L. Nurgalieva, M. Baez, G. Adamo, F. Casati & M. Marchese, “Designing Interactive Systems to Mediate Communication between Formal and Informal Caregivers in Aged Care,” IEEE Access, vol. 7, pp. 171173–171194, Nov. 2019. https://doi. org/10.1109/ACCESS.2019.2954327 E. Khodabandehloo & D. Riboni, “Collaborative Trajectory Mining in Smart-homes to Support Early Diagnosis of Cognitive Decline,” IEEE Trans Emerg Top Comput, vol. 9, no. 3, pp. 1194–1205, Feb. 2020. https://doi.org/10.1109/TETC.2020.2975071 C. Debes, A. Merentitis, S. Sukhanov, M. Niessen, N. Frangiadakis & A. Bauer, “Monitoring activities of daily living in smart homes: Understanding human behavior,” IEEE Signal Process Mag, vol. 33, no. 2, pp. 81–94, Mar. 2016. https://doi. org/10.1109/MSP.2015.2503881 R. Mehmood, F. Alam, N. N. Albogami, I. Katib, A. Albeshri & S. M. Altowaijri, “UTiLearn: A Personalised Ubiquitous Teaching and Learning System for Smart Societies,” IEEE Access, vol. 5, pp. 2615–2635, Feb. 2017. https://doi.org/10.1109/ ACCESS.2017.2668840 S. Robben, G. Englebienne & B. Krose, “Delta Features from Ambient Sensor Data are Good Predictors of Change in Functional Health,” IEEE J Biomed Heal Informatics, vol. 21, no. 4, pp. 986–993, Jul. 2017. https://doi.org/10.1109/ JBHI.2016.2593980 CISCO Cisco Packet Tracer. (version 8.1.0), Cisco Systems. Accessed: Aug. 26, 2021. [Online]. Available: https://www.netacad. com/courses/packet-tracer A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, & M. Ayyash, “Internet of Things: A Survey on Enabling Tech nologies, Protocols, and Applications,” IEEE Commun Surv Tutorials, vol. 17, no. 4, pp. 2347–2376, Nov. 015. https://doi. org/10.1109/COMST.2015.2444095
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dc.rights.spa.fl_str_mv	Derechos de autor 2022 Luis David Diaz-Charris, Juan Ariza-Ospino
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spelling	Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)Derechos de autor 2022 Luis David Diaz-Charris, Juan Ariza-Ospinohttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Díaz-Charris, Luis DavidOspino, Juan2022-12-27T21:12:28Z2022-12-27T21:12:28Z2022-07-07J. Ariza-Ospino y L. Díaz-Charris, “A literary revision of ambient inteligence for the care of the elderly at smart homes”, J. Comput. Electron. Sci.: Theory Appl., vol. 3, no. 2, pp. 3–10, 2022. https://doi.org/10.17981/cesta.03.02.2022.01https://hdl.handle.net/11323/972510.17981/cesta.03.02.2022.012745-0090Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Las personas tienen necesidades diversas y cambiantes a medida que envejecen y el número de personas que viven con alguna discapacidad está constantemente en aumento. Las casas inteligentes tienen un potencial único para proporcionar vida asistida, pero a menudo están diseñados para resolver un problema específico; por ejemplo, equipadas con reconocimiento de voz para personas ciegas o con pantallas inteligentes para personas sordomudas. Por esta razón se realiza una investigación con el fin de identificar esos componentes de la inteligencia ambiental aplicada en la domótica dirigida a la población del adulto mayor o pacientes que viven con alguna discapacidad física o mental. Se realizó una revisión de la literatura en tres (3) distintas bases de datos en el contexto internacional. La temática abordada es sobre la inteligencia ambiental aplicada en la domótica. Dirigido a una población en específico que es el adulto mayor o pacientes que viven con alguna discapacidad debido a la edad. En esta investigación Se identificaron los objetivos principales, factores importantes y la confiabilidad de esta tecnología aplicada en los hogares inteligentes teniendo en cuenta la población a la que va dirigidaPeople have diverse and changing needs as they age, and the number of people living with a disability is constantly increasing. Smart homes have a unique potential to provide assisted living but are often designed to solve a specific problem; for example, equipped with voice recognition for blind people or with smart screens for deafmute people. For this reason, this research was carried out in order to identify those components of the ambient intelligence applied in home automation aimed at the elderly population or patients living with a physical or mental disability. A literature review was conducted in three (3) different data bases in the international context. The topic to be addressed was ambient intelligence applied in home automation. This study aimed at a specific population: the elderly or patients who are living with a disability due to age. In this research, the main objectives, essential factors, and reliability of this technology applied in smart homes were identified considering its directed population.8application/pdfengCorporación Universidad de la CostaColombiahttps://revistascientificas.cuc.edu.co/CESTA/article/view/3991A literary revision of ambient inteligence for the care of the elderly at smart homesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Computer and Electronic Sciences: Theory and Applications - CESTAT. Chiridza, J. Wesson & D. Vogts, “A Smart Home environment to support risk monitoring for the elderly living indepen dently,” South African Comput. J., vol. 31, no. 1, pp. 1–23, July. 2019. https://doi.org/10.18489/sacj.v31i1.534J. M. Alcalá, J. Ureña, Á. Hernández & D. Gualda, “Assessing human activity in elderly people using non-intrusive load monitoring,” Sensors, vol. 17, no. 2, pp. 1–17, Feb. 2017. https://doi.org/10.3390/s17020351P. Bellagente, C. Crema, A. Depari, A. Flammini, G. Lenzi, & S. Rinaldi, “Framework-oriented approach to ease the devel opment of ambient assisted-living systems,” IEEE Syst J, vol. 13, no. 4, pp. 4421–4432, Dec. 2019. https://doi.org/10.1109/ JSYST.2019.2924150E. De-La-Hoz-Franco, P. Ariza-Colpas, J. M. Quero & M. Espinilla, “Sensor-based datasets for human activity recog nition - A systematic review of literature,” IEEE Access, vol. 6, pp. 59192–59210, Oct. 2018. https://doi.org/10.1109/AC CESS.2018.2873502J. G. Giménez, J. C. Augusto & J. Stewart, “AnAbEL: towards empowering people living with dementia in ambient assisted living,” Univ Access Inf Soc, pp. 1–21, Nov. 2020. https://doi.org/10.1007/s10209-020-00760-5A. A. Vogan, F. Alnajjar, M. Gochoo & S. Khalid, “Robots, AI, and cognitive training in an era of mass age-related cognitive decline: A systematic review,” IEEE Access, vol. 8, pp. 18284–18304, Jan. 2020. https://doi.org/10.1109/ACCESS.2020.2966819S.-L. Chua, S. Marsland & H. Guesgen, “A supervised learning approach for behaviour recognition in smart homes,” J. Ambi ent Intell Smart Environ, vol. 8, no. 3, pp. 259–271, Apr. 2016. https://doi.org/10.3233/AIS-160378L. Jiang, B. Gao, J. Gu, Y. Chen, Z. Gao, X. Ma, K. Kendrick & W. Woo, “Wearable Long-Term Social Sensing for Mental Wellbeing,” IEEE Sens J, vol. 19, no. 19, pp. 8532–8542, Oct. 2019. https://doi.org/10.1109/JSEN.2018.2877427A. Grgurić, M. Mošmondor & D. Huljenić, “The smarthabits: An intelligent privacy-aware home care assistance system,” Sensors, vol. 19, no. 4, pp. 1–24, Feb. 2019. https://doi.org/10.3390/s19040907F. Martínez-Santiago, M. R. García-Viedma, J. A. Williams, L. T. Slater & G. V. Gkoutos, “Aging Neuro-Behavior Ontology,” Appl Ontol, vol. 15, no. 2, pp. 219–239, May. 2020. https://doi.org/10.3233/AO-200229N. Thakur & C. Y. Han, “An ambient intelligence-based human behavior monitoring framework for ubiquitous environ ments,” J Inf, vol. 12, no. 2, pp. 1–26, Feb. 2021. https://doi.org/10.3390/info12020081M. Espinilla, L. Martínez, J. Medina & C. Nugent, “The experience of developing the UJAmI Smart Lab,” IEEE Access, vol. 6, pp. 34631–34642, Jun. 2018. https://doi.org/10.1109/ACCESS.2018.2849226N. Rodrigues & A. Pereira, “A user-centred well-being home for the elderly,” Appl. Sci., vol. 8, no. 6, pp. 1–16, May. 2018. https://doi.org/10.3390/app8060850A. M. Davani, A. A. N. Shirehjini, & S. Daraei, “Towards interacting with smarter systems,” J Ambient Intell Humaniz Comput, vol. 9, no. 1, pp. 187–209, Jan. 2017. https://doi.org/10.1007/s12652-016-0433-9A. Lotfi, S. Albawendi, H. Powell, K. Appiah & C. Langensiepen, “Supporting Independent Living for Older Adults; Employ ing a Visual Based Fall Detection Through Analysing the Motion and Shape of the Human Body,” IEEE Access, vol. 6, pp. 70272–70282, Nov. 2018. https://doi.org/10.1109/ACCESS.2018.2881237F. D. Casagrande, J. Torresen & E. Zouganeli, “Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data from Homes with Older Adults,” IEEE Access, vol. 7, pp. 111012–111029, Aug. 2019. https://doi.org/10.1109/ ACCESS.2019.2933994E. Borelli, G. Paolini, F. Antoniazzi, M. Barbiroli, F. Benassi, F. Chesani, L. Chiari, M. Fantini, F. Fuschini, A. Galassi, G. Giacobone, S. Imbesi, M. Licciardello, D. Loreti, M. Marchi, D. Masotti, P. Mello, S. Mellone, G. Mincolelli, C. Raffaelli, L. Roffia, T. Cinotti, C. Tacconi, P. Tamburini, M. Zoli & A. Costanzo, “HABITAT: An IoT solution for independent elderly,” Sensors, vol. 19, no. 5, pp. 1–23, Mar. 2019. https://doi.org/10.3390/s19051258M. Daher, A. Diab, M. E. El Najjar, M. Ali Khalil & F. Charpillet, “Elder Tracking and Fall Detection System Using Smart Tiles,” IEEE Sens J, vol. 17, no. 2, pp. 469–479, Jan. 2017. https://doi.org/10.1109/JSEN.2016.2625099S. Helal & C. N. Bull, “From smart homes to smart-ready homes and communities,” Dement Geriatr Cogn Disord, vol. 47, no. 3, pp. 157–163, Jun. 2019. https://doi.org/10.1159/000497803C. Chalmers, P. Fergus, C. A. Curbelo, S. Sikdar, F. Ball & B. Kendall, “Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation,” IEEE Trans Emerg Top Comput, vol. 10, no. 1, pp. 157-169, May. 2020. https://doi.org/10.1109/TETC.2020.2993177M. Amiribesheli & H. Bouchachia, “A tailored smart home for dementia care,” J. 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Ayyash, “Internet of Things: A Survey on Enabling Tech nologies, Protocols, and Applications,” IEEE Commun Surv Tutorials, vol. 17, no. 4, pp. 2347–2376, Nov. 015. https://doi. org/10.1109/COMST.2015.244409510323Inteligencia AmbientalHogares inteligentesAutomatización del hogarPersonas mayoresDiscapacidadAmbient intelligenceSmart homesHome automationElderlyDisabilityComunidad científicaPublicationORIGINALA LITERARY REVISION OF AMBIENT INTELIGENCE FOR THE CARE OF THE ELDERLY AT SMART HOMES.pdfA LITERARY REVISION OF AMBIENT INTELIGENCE FOR THE CARE OF THE ELDERLY AT SMART HOMES.pdfArtículoapplication/pdf630417https://repositorio.cuc.edu.co/bitstreams/eaeef886-59dc-4267-b23b-926f8dda7913/downloada874acf1eb5179fee31f538093eec62eMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/059e7f38-bc34-4d2f-86ed-cf824aa9176c/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTA LITERARY REVISION OF AMBIENT INTELIGENCE FOR THE CARE OF THE ELDERLY AT SMART HOMES.pdf.txtA LITERARY REVISION OF AMBIENT INTELIGENCE FOR THE CARE OF THE ELDERLY AT SMART HOMES.pdf.txtExtracted texttext/plain29453https://repositorio.cuc.edu.co/bitstreams/60447b22-56a4-4a39-bc64-539a4b2c015d/download1b3df2de85c84d4dfac1cd6abd80615dMD53THUMBNAILA LITERARY REVISION OF AMBIENT INTELIGENCE FOR THE CARE OF THE ELDERLY AT SMART HOMES.pdf.jpgA LITERARY REVISION OF AMBIENT INTELIGENCE FOR THE CARE OF THE ELDERLY AT SMART HOMES.pdf.jpgGenerated Thumbnailimage/jpeg11261https://repositorio.cuc.edu.co/bitstreams/c4a3694f-0f75-4093-a64c-665f8f260005/download6bf60acf9516723e3deac13c29a86375MD5411323/9725oai:repositorio.cuc.edu.co:11323/97252024-09-17 10:48:12.703https://creativecommons.org/licenses/by-nc-nd/4.0/Derechos de autor 2022 Luis David Diaz-Charris, Juan Ariza-Ospinoopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.


A literary revision of ambient inteligence for the care of the elderly at smart homes

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