[u' @article{castillejo_modeling_2014, title = {Modeling {Users}, {Context} and {Devices} for {Ambient} {Assisted} {Living} {Environments}}, volume = {14}, copyright = {http://creativecommons.org/licenses/by/3.0/}, url = {http://www.mdpi.com/1424-8220/14/3/5354}, doi = {10.3390/s140305354}, abstract = {The participation of users within AAL environments is increasing thanks to the capabilities of the current wearable devices. Furthermore, the significance of considering user\u2019s preferences, context conditions and device\u2019s capabilities help smart environments to personalize services and resources for them. Being aware of different characteristics of the entities participating in these situations is vital for reaching the main goals of the corresponding systems efficiently. To collect different information from these entities, it is necessary to design several formal models which help designers to organize and give some meaning to the gathered data. In this paper, we analyze several literature solutions for modeling users, context and devices considering different approaches in the Ambient Assisted Living domain. Besides, we remark different ongoing standardization works in this area. We also discuss the used techniques, modeled characteristics and the advantages and drawbacks of each approach to finally draw several conclusions about the reviewed works.}, language = {en}, number = {3}, urldate = {2014-03-18}, journal = {Sensors}, author = {Castillejo, Eduardo and Almeida, Aitor and L\xf3pez-de-Ipi\xf1a, Diego and Chen, Liming}, month = mar, year = {2014}, note = {00000}, keywords = {AI for health, Ambient Assisted Living, Artificial Intelligence, DYNUI, Q1, UCADAMI, adaptive user interfaces, context modelling, context-aware, intelligent environments, jcr2.048, user adaptability}, pages = {5354--5391}, } ']