@inproceedings{a2e54cb40e9b42faa464ae8086a7a2a9,
title = "Remote monitoring, distress detection by slightest invasive systems: Sound recognition based on hierarchical i-vectors",
abstract = "Europe has a growing aging population, leading to the need for adapted healthcare services. Our work aims at proposing a solution for falls detection of elderly people using sound recognition based on a hierarchical i-vectors system. The system presented in this paper improves significantly the accuracy of sound recognition compared to the state of the art methods. The latter provides a good recognition rate of 81.98\% on noiseless sounds. This system needs to be tested in a noisy environment and this can be improved by using new sound descriptors.",
author = "Maxime Robin and Dan Istrate and Jerome Boudy",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 ; Conference date: 11-07-2017 Through 15-07-2017",
year = "2017",
month = sep,
day = "13",
doi = "10.1109/EMBC.2017.8037425",
language = "English",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2744--2748",
booktitle = "2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
}