Tomislav Pozaic

Tomislav Pozaic received the B.Sc. in Electrical Engineering and Information Technology in 2011 and M.Sc. in Electronic and Computer Engineering in 2013 from the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia. Focus of the thesis was on the assisted strength exercising in elderly and diabetic population. He is currently working as a PhD fellow at Bosch Healthcare Solutions GmbH in Waiblingen, Germany. His research is focused on the fall risk assessment in activities of daily living by using sensor-based approach. Further interests include signal processing, machine learning as well as gait and posture analysis.

Associated articles

JTEHM, Articles, Published Articles
Sit-to-Stand Transition Reveals Acute Fall Risk in Activities of Daily Living
The focus of this paper was on finding wrist sensor-derived features for detecting highly acute fall risk from the sit-to-stand transitions performed in a non-ambulatory environment. Furthermore, the influence of the dominant and non-dominant hand on these features was investigated.... Read more