Jürgen Stumpp

Classification of human physical activity and energy expenditure estimation by accelerometry and barometry

Regular exercise and physical activity are among the most important factors influencing the quality of life and make a significant contribution to the maintenance of health and well-being. The assessment of physical activity via accelerometry has become a promising technique often used as means to objectively measure physical activity. This work proposes a simple and reliable method to assess human physical activity and calculate the energy expenditure (EE) by using an acceleration and an air pressure sensor. Our proposed algorithm differentiates between 7 activities with an average accuracy of 98.2% and estimates the second by second EE with an average percent error of 1.59 ± 8.20% using a single measurement unit attached to the subjects hip.

Platform for ambulatory assessment of psycho-physiological signals and online data capture

Over the last years there has been an increasing interest in finding new methods for capturing psychological, behavioral and physiological data in real-time using infield data acquisition systems. Within our research group a system for ambulatory assessment of psycho-physiological signals for real-time data capture has been developed. The system is based on Smartphones which are equipped with software to record contextual and subjective data from participants and have that information transmitted wirelessly to a central online database. An online database offers the possibility of collecting, storing and analyzing all study related data in a central point. This paper provides an overview of this system.