Computer Vision for Ambient Assisted Living: develop novel approaches for recognising ADL routines in video data.
Ambient Assisted Living Technologies: investigate the barriers for adoption of more sophisticated systems, including the performance of current data processing techniques, the choice of sensor technologies and trade-offs between wearable and environmental sensors, the usability requirements, and security and privacy concerns.
Data Fusion and Multimodal Learning for Ambient Assisted Living: develop novel approaches to utilise information from multiple sensors simultaneously to improve performance of AAL systems.
Edge Computing for Ambient Assisted Living: investigate applications of edge computing architectures and technologies in AAL, as well as novel approaches to adapting data processing methods, such as federated learning and other decentralised AI methods.