Behavior Features

We have data from one day (7-22.00) regarding physical activity of 15 patients, comprising two types of data:
Type 1: Accelerometry: % of time lying/sitting, standing, walking, running, cycling.

Type 2: Behavioral mapping: 3 hourly observations during one day (approximately 45 observations per patient)
– what
– how
– with who
– where.

There are no clear relations between patients with sedentary and more active behavior we have questions like;
Question 1: Which patterns potentially explain the behavior of active vs sedentary behavior
Question 2: Which patterns or type of patterns can be derived from these combined data sets.

Some of these questions have to be defined further and could be part of the assignment.

Dr. Hani Al-Ers
Senior Researcher
Hani Al-Ers is a researcher in the field of human-machine interactions. He completed his PhD at the Delft University of Technology at the Interactive Intelligence group of the Faculty Computer Science (EEMCS). Philips Research in Eindhoven sponsored his project which was aimed at improving the user experience of Philips tv sets. He completed 2 post-docs at the Delft University of Technology, during which he managed international consortia on topics such as an improved quality of life for the elderly. Currently, he is conducting research in the field of health and education and he leads the Research Education activities at the Dutch Innovation Factory.