The Smart Health Technologies Group has five main areas of research:
Solutions to the challenges arising from physiological sensing from body sensor networks and bio-sensing platforms. Advanced Signal processing solutions for wearable and portable eHealth systems.
Development of computational models and analytical tools for cognitive neuroscience research. Advanced computational intelligence to deal with the huge and complex neuroscientific data.
Robotics in healthcare
Development of intelligent robotic platforms for nursing and assistance as well as therapeutic and assistive robots for rehabilitation and continuing care.
IoT for health
Investigating the potential of Internet-enabled devices and sensors to seamlessly collect and analyse real-time health and fitness data. Connecting and fuse networks of medical devices.
Computer Vision in healthcare
Using computer vision techniques to enhance medical imaging to diagnose, monitor or treat medical conditions. Additionally, we also use video information as a contextual source to gain high level understanding about a health related environment.