With recent advances in hardware technology, drones are increasingly present in research activities outside of robotics, performing a multitude of tasks such as image capture and sample collection. However, user inter...
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ISBN:
(纸本)9781728113777
With recent advances in hardware technology, drones are increasingly present in research activities outside of robotics, performing a multitude of tasks such as image capture and sample collection. However, user interfaces for task-oriented drones have not kept pace with hardware breakthroughs. Current planning and control interfaces for drones are not intuitive and often place a large cognitive burden on those who are not highly trained in their use. This paper proposes a course of research that seeks to leverage natural user interfaces in augmented reality (AR) for controlling drones completing task-oriented objectives.
As technology grants us superhuman powers, looking into what the future may hold is no longer science fiction. Artificial Intelligence and Mixed Reality technologies can allow users to see what the future may hold. In...
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ISBN:
(纸本)9798350374025;9798350374032
As technology grants us superhuman powers, looking into what the future may hold is no longer science fiction. Artificial Intelligence and Mixed Reality technologies can allow users to see what the future may hold. In this paper, we present our work evaluating visualizations of future predictions in the Football domain. We explore the problem space, examining what a future may be. Three visualizations-2 Arrow Lines, 5 Arrow Lines, and Heatmap-are introduced as representations that show both individual predictions of movement (2 Arrow Lines and 5 Arrow Lines) and more generalized predictions (Heatmap). Whilst football is used as an example domain in this work, the visualizations and findings aim to generalize to other scenarios that contain trajectory information. Two VR studies (2 x n = 24) examined the visualizations in both simple/complex, timed/non-timed, and short/long-range viewing situations. Results show Heatmap as the most effective and preferred by the vast majority of participants. Findings offer insights into future visualization, serving as visual heuristics beyond the realm of sports and into the real world.
The goal of this research is developing a system that a rich facial animation can be used in communication is generated from only speech. Generally, a source of the generating facial animation is a camera. Using camer...
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ISBN:
(纸本)9781728113777
The goal of this research is developing a system that a rich facial animation can be used in communication is generated from only speech. Generally, a source of the generating facial animation is a camera. Using cameras as an input source, it causes limitations of the angle of view of the camera or problems that cannot be aware of the human face, depending on the orientation of the face. Therefore, it is reasonable for developing a system for generating a facial animation using only voice. In this study, we generate facial expressions from only speech using LSTM-RNN. Comparing 3 patterns of speech analysis data, we showed that the proposed method using A -weighting is effective for facial expression estimation.
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