Many 3D systems work by presenting to the observer stereoscopic pairs of images that are combined to give the impression of a 3D image. Discomfort experienced when viewing for extended periods may be due to several factors, including the presence of optical crosstalk between the stereo image channels. In this paper we use two video cameras and two LCD panels viewed via a Helmholtz arrangement of mirrors, to display a stereoscopic image inherently free of crosstalk. Simple depth discrimination tasks are performed whilst viewing the 3D image and controlled amounts of image crosstalk are introduced by electronically mixing the video signals. Error monitoring and skin conductance are used as measures of workload as well as traditional subjective questionnaires. We report qualitative measurements of user workload under a variety of viewing conditions. This pilot study revealed a decrease in task performance and increased workload as crosstalk was increased. The observations will assist in the design of further trials planned to be conducted in a medical environment.
In this article, we propose three-dimensional antenna systems for determining the position of electromagnetic radiation source at an unknown location. Received signal power at different antennas and position of radiation source are used as training data for Artificial Neural Network (ANN). It is found that, a well-trained ANN is computationally efficient and capable of predicting the unknown location of the source, from the received power pattern. Two multi-antenna systems with geometry in three dimensions, namely the cube and frustum, are considered in this paper. Further, test results of the proposed method for random positions of electromagnetic source, spanning a hemisphere, are presented for the geometries considered.
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