Multi-user Activity Recognition using Wearable Sensors

This project aims to investigate the fundamental problem of recognizing activities of multiple users using wearable sensors in a home environment. We design a multimodal system to capture observations for multiple users and propose a novel pattern mining approach to recognize multi-user activities. This is the first reported work on multi-user activity recognition using wearable sensors.

This work has been reported in MobiQuitous 2009, and IEEE Transactions on Mobile Computing.

Tao Gu
Tao Gu
Email: firstname dot lastname AT mq.edu.au
Phone Number: +61-2-9850-4357
Address: Room 267, 4 Research Park Drive, North Ryde, NSW, 2109, Australia

My research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics.