@inproceedings{c7cbf5e07a234eb690009ffeb4d2b0e1,
title = "A Discussion on Fall Detection Issues and Its Deployment: When cloud meets battery",
abstract = "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.",
keywords = "cloud services, fall detection, neural network modelling, wearable device",
author = "Khojasteh, {Samad Barri} and Villar, {Jose R.} and {De La Cal}, Enrique and Gonzalez, {Victor M.} and Qing Tan and Morteza Kiadi",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018 ; Conference date: 20-04-2018 Through 22-04-2018",
year = "2018",
month = jun,
day = "14",
doi = "10.1109/ICCCBDA.2018.8386496",
language = "English",
series = "2018 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018",
pages = "112--115",
booktitle = "2018 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018",
}