[u' @article{bilbao_jayo_promotion_2016, title = {Promotion of active ageing combining sensor and social network data}, volume = {64}, issn = {1532-0464}, url = {http://www.sciencedirect.com/science/article/pii/S1532046416301307}, doi = {10.1016/j.jbi.2016.09.017}, abstract = {The increase of life expectancy in modern society has caused an increase in elderly population. Elderly people want to live independently in their home environment for as long as possible. However, as we age, our physical skills tend to worsen and our social circle tends to become smaller, something that often leads to a considerable decrease of both our physical and social activities. In this paper, we present an AAL framework developed within the SONOPA project, whose objective is to promote active ageing by combining a social network with information inferred using in-home sensors.}, urldate = {2016-10-10}, journal = {Journal of Biomedical Informatics}, author = {Bilbao Jayo, Aritz and Almeida, Aitor and L\xf3pez-de-Ipi\xf1a, Diego}, month = dec, year = {2016}, note = {00001}, keywords = {AI, AI for health, Active ageing, Ambient Assisted Living, Artificial Intelligence, BERT, Context-Aware Computing, Data analysis, Data mining for social networks, Intelligent Environments, Q1, Social networks, cnn, convolutional networks, embeddings, fraseware, jcr2.447, social network analysis, sonopa}, pages = {108--115}, } ']