Multi-Resident Activity Monitoring in Smart Homes: A Case Study
- Resource Type
- Conference
- Authors
- Tran, Son N.; Zhang, Qing; Smallbon, Vanessa; Karunanithi, Mohan
- Source
- 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pervasive Computing and Communications Workshops (PerCom Workshops), 2018 IEEE International Conference on. :698-703 Mar, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Smart homes
Temperature sensors
Temperature measurement
Intelligent sensors
Logic gates
Activity recognition
- Language
This paper demonstrates a system that can turn a normal house to a smart house for daily activity monitoring with the use of ambient sensors. We show a proof of concept which includes a method of annotation using voice recording and deep learning technique for automatic 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.