Full text not available from this repository.

Abstract

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:	Book Section
Authors/Creators:	Tran, SN and Zhang, Q
Keywords:	multi-resident activity, smart homes, ambient intelligence, voice-based annotation, activity recognition
Publisher:	Springer
DOI / ID Number:	10.1007/978-3-030-25590-9_12
Copyright Information:	Copyright 2020 Springer Nature Switzerland AG
Item Statistics:	View statistics for this item

Actions (login required)

Item Control Page