@inproceedings{Granada2017b,
	author = {Roger Granada and Juarez Monteiro and Rodrigo C. Barros and Felipe Meneguzzi},
	title = {A Deep Neural Architecture for Kitchen Activity Recognition},
	conference = {The 30th Florida Artificial Intelligence Research Society Conference},
	booktitle = {Proceedings of the 30th Florida Artificial Intelligence Research Society Conference},
	year = {2017},
	keywords = {Plan Recognition; Deep Learning; SBR},
	abstract = {Computer-based human activity recognition of daily living has recently attracted much interest due to its applicability to ambient assisted living. Such applications require the automatic recognition of high-level activities composed of multiple actions performed by human beings in a given environment. We propose a deep neural architecture for kitchen activity recognition, which uses an ensemble of machine learning models and hand-crafted features to extract more information of the data. Experiments show that our approach achieves the state-of-the-art for identifying cooking actions in a well- known kitchen dataset.},
	url = {http://www.meneguzzi.eu/felipe/pubs/flairs-hybrid-recognizer-2017.pdf}
}