Скачать или смотреть Methods for Interactions and Human Motion Analysis in Mixed and Augmented Reality, Ian Williams

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Recent technological advances have led to as abundance of wearable devices suitable for interaction for Mixed and Augmented Reality (MR/AR). Even though natural interaction and human motion is independent of wearable devices, commonly MR/AR systems utilise wearable devices for aiding in the interaction between humans and virtual objects. While employing wearable devices is justifiable in many cases, often natural interaction grasping, independent of wearable devices, is desired. This is most common in performance whereby a first person may be interacting with the MR/AR system and a third person observing the interaction. Thus the application of wearable devices can affect the overall realism of the interaction.
This presentation will look to explore the inherent problems associated with implementing natural interaction and human motion in mixed and augmented reality. It will address methods coming from a range of studies into motion analysis, bimanual interaction (two handed) and manual (single hand) interaction. The presentation will illustrate methods and standards for analysis and measurement considering both the perspective of a first person user and also a third person observer.

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Dr Ian Williams is the subject leader for image and video technology in Birmingham City University’s DMT Lab (http://www.dmtlab.bcu.ac.uk). Ian’s work specialises on methods for improving the quality of Mixed or Augmented Reality MR/AR, specifically focussing on the development of novel image processing techniques to measure user interaction and user response in MR/AR. Ian is also a specialist in medical image processing, segmentation and visualisation and works on improving the 2D and 3D segmentation of CT and MRI data. Ian recently developed and presented the first IEEE workshop on measuring the perception of realism in Mixed and Augmented Reality (http://dmtlab.bcu.ac.uk/ismar2015/) and is part of the S&T committee of the IEEE International Symposium on Mixed and Augmented Reality (http://www.ismar2016.org/ ).