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In this paper, we will explore human movement using a tutoring spotter system which controls an iCub robot. We will present an evaluation based on the captured human movement from an experimental study, where our participants demonstrated a salt-shaker and a cup-stacking task to the iCub robot. We will use a method of action recognition, which will help the robot to differentiate between these actions,...
3D model is normally designed by 3D-CAD software or animation software, but a 3D direct drawing method is still a developing research. In a previous study, we suggest a 3D direct drawing method for polygonal/curved surface model using Microsoft Kinect. In this study, some subjects performe the gesture expressing a solid, analyzed the gesture trajectory. And we construct the creating solid algorithm...
This paper proposes a new framework for online detection of spontaneous emotions from low-resolution depth sequences of the upper part of the body. To face the challenges of this scenario, depth videos are decomposed into subsequences, each modeled as a linear subspace, which in turn is represented as a point on a Grassmann manifold. Modeling the temporal evolution of distances between subsequences...
In this work we propose the use of local binary patterns in combination with double spectral analysis for facial image clustering applied to 3D (stereoscopic) videos. Double spectral clustering involves the fusion of two well known algorithms: Normalized cuts and spectral clustering in order to improve the clustering performance. The use of local binary patterns upon selected fiducial points on the...
Due to the ubiquity of GPS enabled devices and the advances in sensing technologies, trajectory data has become abundant. Regions of interest are important since they describe specific hot-spots within the data that often correlate with domain specific phenomena. Traditional region of interest mining utilises grid based rasters to model space. This suffers from two main problems: hard to determine...
A novel method for predicting the ratings of video content on the basis of a viewer's behavior in a typical home environment is proposed. Using an input signal provided by a Kinect sensor, it identifies the presence of a viewer by extracting key point trajectories in video sequences of that viewer. It then estimates whether the viewer is gazing at the video content or not on the basis of the viewer's...
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