iHOME: an ambient intelligence mobile crowd sensing smart home system

• Main Authors: Lim, Poon Koon, Singh, Manmeet Mahinderjit
• Format: Conference or Workshop Item
• Language: English
• Published: 2016
• Subjects: T Technology (General)
• Online Access: http://repo.uum.edu.my/20045/1/KMICe2016%20104%20109.pdf; http://repo.uum.edu.my/20045/; http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf

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.