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We propose an automatic setting of multiple skeletal tracking Kinect cameras, in lieu of mere using a single camera, to capture a human skeleton because of possible viewing occlusions. Using multiple cameras from different angles gives a more complete whole body; however, more required steps are needed in combining multiple skeletons into one final(More)
In this paper, we propose a comparison of human gesture recognition using data mining classification methods in video streaming. In particular, we are interested in a specific stream of vector of twenty body-joint positions which are representative of the human body captured by Kinect camera. The recognized gesture patterns of the study are stand, sit down,(More)
Students choose information technology (IT) majors because of three interrelated attributes: personal values, academic reputation, and socio-economical influences. The study proposes that these views explain the gender gap between male and female students in IT majors. By empirically examining these different views through a field survey, our pilot study(More)
Extending the model of [Eur. J. Oper. Res. 116 (2) (1999) 305] that, under contingent capacity, simultaneously optimizes the bidding price and due date for each incoming order, we propose a bidding model with multiple customer segments classified based on parameters of willingness to pay, sensitivity to short delivery time, quality level requirement, and(More)
Ideas of building smart homes have been around for many years. However, most of them have been confined to laboratories or specially built, expensive homes due to the high cost of sensory hardware and software. In order to make some of those ideas realized for average-income households, we could resort to lower cost devices and focus more on smaller space(More)
In this paper, an integration of the independent component analysis (ICA) and an unsupervised feature selection scheme is proposed as a data engineering approach, called ICA-DEODA. The proposed feature extraction model enables beyond second order analysis which can powerfully underlie knowledge discovery methods. When applying the model for stock(More)