Mr Ismail
Biomedical sciences
University of Canberra
Australia
Biography
Hafsa's PhD project is closely aligned with Professor Roland Goecke's research on using a variety of passive sensors, such as video cameras, smartphones and wearable sensors, to develop computational models that can assess a person's health / well-being. In particular, Hafsa's PhD project is a collaboration between the NICTA eHealth Living Lab (Dr Leif Hanlen, Dr Hanna Suominen), the Faculty of Health (Professor Gordon Waddington) and the Faculty of ESTeM (Professor Roland Goecke). In my PhD project, which started months ago, Hafsa investigates approaches to sense and model human sway and movement patterns and their variations from normative groups with a target application in predicting the likelihood of a fall occurring, especially in the elderly, weeks or months ahead of time, so that a physiotherapy intervention can be put in place to reduce the risk of a fall. Hafsa's PhD project is closely aligned with Professor Roland Goecke's research on using a variety of passive sensors, such as video cameras, smartphones and wearable sensors, to develop computational models that can assess a person's health / well-being. In particular, Hafsa's PhD project is a collaboration between the NICTA eHealth Living Lab (Dr Leif Hanlen, Dr Hanna Suominen), the Faculty of Health (Professor Gordon Waddington) and the Faculty of ESTeM (Professor Roland Goecke). In my PhD project, which started months ago, Hafsa investigates approaches to sense and model human sway and movement patterns and their variations from normative groups with a target application in predicting the likelihood of a fall occurring, especially in the elderly, weeks or months ahead of time, so that a physiotherapy intervention can be put in place to reduce the risk of a fall.
Research Interest
Technology for improved health and well-being.; Healthcare systems and health services research.