[u' @article{bermejo_embedding-based_2021, title = {Embedding-based real-time change point detection with application to activity segmentation in smart home time series data}, volume = {185}, issn = {0957-4174}, url = {https://www.sciencedirect.com/science/article/pii/S0957417421010344}, doi = {10.1016/j.eswa.2021.115641}, abstract = {Human activity recognition systems are essential to enable many assistive applications. Those systems can be sensor-based or vision-based. When sensor\u2026}, language = {en}, urldate = {2021-07-29}, journal = {Expert Systems with Applications}, author = {Bermejo, Unai and Almeida, Aitor and Bilbao Jayo, Aritz and Azkune, Gorka}, month = dec, year = {2021}, keywords = {AI for health, Data analysis, JCR6.954, Q1, activity recognition, artificial intelligence, behavior modelling, change point detection, embeddings, futuraal, intelligent environments, machine learning, smart home, transfer learning}, pages = {115641}, } ']