Biometrics based on electroencephalogram (EEG) signals is an emerging research topic. Several recent results have shown its feasibility and potential for personal identification....
Abstract. In this study, we present a new multi-band image representation for improving AAM segmentation accuracy for illumination invariant face alignment. AAM is known to be very...
We have constructed “EventStream” data collection and analysis software framework to support a wide variety of sensors that measure user’s physical state. The framework’s ...
We have constructed a simple and fast system to detect frontal human faces in complex environment. There are two main contributions of our work: 1) We use a fast image segmentatio...
Abstract. The current generation of data mining tools have limited capacity and performance, since these tools tend to be sequential. This paper explores a migration path out of th...