A Discussion on Fall Detection Issues and Its Deployment: When cloud meets battery

Samad Barri Khojasteh, Jose R. Villar, Enrique De La Cal, Victor M. Gonzalez, Qing Tan, Morteza Kiadi

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2018 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018
Pages112-115
Number of pages4
ISBN (Electronic)9781538643006
DOIs
Publication statusPublished - 14 Jun. 2018
Event3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018 - Chengdu, China
Duration: 20 Apr. 201822 Apr. 2018

Publication series

Name2018 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018

Conference

Conference3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018
Country/TerritoryChina
CityChengdu
Period20/04/1822/04/18

Keywords

  • cloud services
  • fall detection
  • neural network modelling
  • wearable device

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