@inproceedings{39e16f48d8654de0af9234c1f33a9f4e,
title = "Multimodal sequential modeling and recognition of human activities",
abstract = "Video-based recognition of activities of daily living (ADLs) is being used in ambient assisted living systems in order to support independent living of old people. In this work, we propose a new multimodal ADL recognition method by modeling the correlation between motion and object information. We encode motion using dense interest point trajectories which are robust to occlusion and speed variability. We formulate the learning problem using a two-layer SVM hidden conditional random field (HCRF) recognition model that is particularly relevant for multimodal sequence recognition. This hierarchical classifier optimally combines the discriminative power of SVM and the long-range feature dependencies modeling by the HCRF.",
keywords = "Activities of daily living, Ambient assisted living system, Interest points, Multimodal representation, SVM-HCRF",
author = "Mouna Selmi and El-Yacoubi, \{Moun{\^i}m A.\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 15th International Conference on Computers Helping People with Special Needs, ICCHP 2016 ; Conference date: 13-07-2016 Through 15-07-2016",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-3-319-41267-2\_76",
language = "English",
isbn = "9783319412665",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "541--548",
editor = "Christian B{\"u}hler and Petr Penaz and Klaus Miesenberger",
booktitle = "Computers Helping People with Special Needs - 15th International Conference, ICCHP 2016, Proceedings",
}