This chapter demonstrates a system that can turn a normal house to a smart house for daily activity monitoring with the use of ambient sensors. We first introduce our smarter safer home platform and its applications in supporting independent livings of seniors in their own home. Then we show a proof of concept which includes a novel activity annotation method through voice recording and deep learning techniques for automatic activity recognition. Our multi-resident activity recognition system (MRAR) is designed to support multiple occupants in a house with minimum impact on their living styles. We evaluate the system in a real house lived by a family of three. The experimental results show that it is promising to develop a smart home system for multiple residents which is portable and easy to deploy.

Item Type:	Research Book Chapter
Keywords:	multi-resident activity, smart homes, ambient intelligence, voice-based annotation, activity recognition
Research Division:	Information and Computing Sciences
Research Group:	Artificial intelligence
Research Field:	Intelligent robotics
Objective Division:	Health
Objective Group:	Specific population health (excl. Indigenous health)
Objective Field:	Health related to ageing
UTAS Author:	Tran, SN (Dr Son Tran)
ID Code:	139110
Year Published:	2019
Deposited By:	Information and Communication Technology
Deposited On:	2020-05-27
Last Modified:	2020-06-10
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