Pierluigi Casale

Pierluigi Casale is researcher at Holst Center- IMEC, and former post-doc at TU Eindhoven. He received the M.Sc. in Electronic Engineering from the University of Rome in 2007 and the Ph.D. in Applied Mathematics from the University of Barcelona in 2011. His main research interests are Machine Learning and Pattern Recognition methods for Wearable Sensors with applications in human behavior analysis, healthcare and assisted living.

Associated articles

JBHI, Featured Articles
Personalization of Energy Expenditure Estimation in Free Living Using Topic Models
We introduce an approach to personalize energy expenditure (EE) estimates in free living. First we use Topic Models (TM) to discover activity composites from recognized activity primitives and stay regions in daily living data. Subsequently, we determine activity composites that... Read more
JBHI, Featured Articles
Identifying Physical Activity Profiles in COPD Patients Using Topic Models
With the growing amount of physical activity (PA) measures, the need for methods and algorithms that automatically analyse and interpret unannotated data increases. In this paper PA is seen as a combination of multi-modal constructs that can co-occur in different... Read more