Towards Multi-resident Activity Monitoring with Smarter Safer Home Platform

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.