Fuzzy rule learning with ACO in epilepsy crisis identification

Vergara, Paula M.; Villar, José R.; Cal, Enrique de la; Menéndez, Manuel; Sedano, Javier

doi:10.1109/innovations.2015.7381552

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Fall Detection Solutions In the Literature1

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Cited by 4 publications

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“…This is not a simple change: the vast majority of the literature reports solutions for FD using waist based solutions. Moreover, according to [21,22,23,24] the calculations should be performed on the smartwatches to extend the battery life by reducing the communications. Therefore, these calculations should be kept as simple as possible.…”

Section: Fall Detection Solutions In the Literaturementioning

confidence: 99%

When cloud meets battery

Khojasteh

Villar

Cal

et al. 2018

2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)

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Fall detection for elder people is a very challenging task that has not been solved yet. In this population, fall detection devices must not introduce extra constraints, like carrying with a belt fixed device or a mobile phone. This paper describes one fall detection approach accomplishing with these constraints. Afterwards, a discussion on some model decisions concerning the computational restrictions according to where the data processing and classification are performed is also included.

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Section: Fall Detection Solutions In the Literaturementioning

confidence: 99%