Lim, Poon Koon and Singh, Manmeet Mahinderjit (2016) iHOME: an ambient intelligence mobile crowd sensing smart home system. In: Knowledge Management International Conference (KMICe) 2016, 29 – 30 August 2016, Chiang Mai, Thailand.

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Abstract

iHOME is a monitoring system that aims to help caregivers take care of their elderly. The main module of the HOPE system provides an intelligent ambient environment by employing prediction based on elderly’s daily activity monitor.The goal of iHOME is for non-invasively monitor the elderly behavior pattern and to notify the caregiver upon abnormality detection such as fall detection in the their movement pattern.This enhances the safety of the elderly so that he/she could live independently. The technology behind this includes Arduino-based ambient sensors, tracking based sensors, Case-Based Reasoning prediction algorithm and Pebble wearable application.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 978-967-0910-19-2 Organized by: College of Arts and Sciences, Universiti Utara Malaysia
Uncontrolled Keywords:	RFID, Arduino, fall detection, case-based reasoning prediction, smart homes, smartwatch
Subjects:	T Technology > T Technology (General)
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	24 Nov 2016 06:55
Last Modified:	24 Nov 2016 06:55
URI:	https://repo.uum.edu.my/id/eprint/20045

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