Fall detection framework for smart home

Citation

Panneerselvam, Athimahendran and Yaakob, Razali and Perumal, Thinagaran and Marlisah, Erzam (2018) Fall detection framework for smart home. In: 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), 9-12 Oct. 2018, Nara, Japan. (pp. 351-352).

Abstract

This paper will describe the concept of fall detection framework for smart home environment which will focus on elderly people. We also discuss and compared general fall detection system and fall detection framework that been implemented. The study of this paper will also help to get understanding about indoor fall detection techniques, advantages, drawbacks and the challenges to enhance near in the future.

Download File

Preview

Text (Abstract)
Fall detection framework for smart home.pdf
Download (32kB) | Preview

Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/GCCE.2018.8574617
Publisher:	IEEE
Keywords:	Fall detection framework; Activity recognition; Machine learning language; Fall monitoring; Fall prediction
Depositing User:	Nabilah Mustapa
Date Deposited:	12 Jun 2019 02:08
Last Modified:	12 Jun 2019 02:08
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/GCCE.2018.8574617
URI:	http://psasir.upm.edu.my/id/eprint/68945
Statistic Details:	View Download Statistic

Actions (login required)

View Item