Abstract—Understanding user behavior in wireless environments is useful for a variety of reasons ranging from the design of better sleep algorithms for components of mobile devic...
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
This paper presents a tool for the visual analysis of fitness performance data, such as running speed and heart rate. The tool, called MOPET Analyzer, provides a set of interacti...
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Recent experiments have indicated the possibility to use the brain electrical activity to directly control the movement of robotics or prosthetic devices. In this paper we report ...