Internet of Things Analysis and Applications | Research Capability & Technology Portfolio

The Internet of Things (IoT) presents enormous opportunities to improve interaction with our immediate surroundings. Fully realising this potential requires sophisticated information analysis, with a focus on data mining and deep learning, human activity recognition, information filtering, and brain computer interfaces.

Competitive advantage

Predictive human behaviour modelling—covert human activity recognition and indoor human movement tracking
Brain computer interface—deep learning for decoding brain activities and enabling device control via brain signals
Large-scale (1000+ sensors), long-term industry system deployment experience in a variety of environments such as buildings, rainforest, farms and lakes

Impact

Improved automation and better support in a complex environment
Breakthrough technology outcomes realised through sensor processing, including advances in biometric (face, gait) recognition and wearable systems

Successful applications

Deep learning for fault detection and localisation in distributed systems, CERA Project
Opinion fraud detection
Thing-of-interest recommendation in the Internet of Things
Human abnormal activity detection
Smart buildings and environments
User-friendly authentication for wearable devices, Australia Centre for Cybersecurity
Battery-free wearable systems
Capabilities and facilities
LPWAN test-bed in an industrial building
GPU-accelerated IoT data analytical platform