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Communication Dans Un Congrès Année : 2017

Remote monitoring, distress detection by slightest invasive systems : sound recognition based on hierarchical i-vectors

Résumé

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
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Dates et versions

hal-01692063 , version 1 (24-01-2018)

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Maxime Robin, Dan Istrate, Jérôme Boudy. Remote monitoring, distress detection by slightest invasive systems : sound recognition based on hierarchical i-vectors. EMBC 2017 : 39th international conference of the IEEE Engineering in Medicine and Biology Society, Jul 2017, Seogwipo, South Korea. pp.2744 - 2748, ⟨10.1109/EMBC.2017.8037425⟩. ⟨hal-01692063⟩
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