Recognizing activities has become increasingly relevant in many application domains, such as security or ambient assisted living. To handle different scenarios, the underlying …
Exploring and comparing categorical time series and finding temporal patterns are complex tasks in the field of time series data mining. Although different analysis approaches …
In this paper, we modeled eye movements on tiled Large High-Resolution Displays (LHRD) as a Markov decision process(MDP). We collected eye movements of users participated with free …
We present a new calibration method to combine a mobile eye tracker with an external tracking system to obtain a 3D gaze vector. Our method captures calibration points of varying …
We propose a new method to enhance the depth images from RGB-D sensors, such as Kinects, by filling the missing/invalid values which are reported by those sensors at certain …
We propose a new method to fill missing or invalid values in depth images generated from the Kinect depth sensor. To fill the missing depth values, we use a robust least median of …
Depth cameras are increasingly used for tasks such as 3-D reconstruction, user pose estimation, and human- computer interaction. Depth-camera systems comprising multiple depth …
The performance of Augmented Reality (AR) direct object selection coded outside of the human egocentric body frame of reference is decreased under short-term altered gravity. …
We investigated new interface technologies to ease astronaut0s work under altered gravity. By bridging the gap between the physical reality and digital information, Augmented …
We present our current state in developing and testing of Augmented Reality supported spaceflight procedures for intra-vehicular payload activities. Our vision is to support the …