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Now showing 1 - 4 of 4
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    Medical Ultrasound Training in Virtual Reality
    (The Eurographics Association, 2020) Elliman, James P.; Bethapudi, Sarath; Koulieris, George Alex; Ritsos, Panagiotis D. and Xu, Kai
    In this work we propose a novel training solution for learning and practising the core psychomotor skills required in Diagnostic Ultrasound examinations with a computer-based simulator. This is in response to the long-standing challenges faced by educators in providing regular training opportunities as a shortage of equipment, staff unavailability and cost, hamper the current training model. We propose an alternative, VR-based model with a highly realistic 3D environment. To further realism of the experience, 3D printed props that work in conjunction with the simulation software will be designed. Our approach further extends previous work in generative model-based US simulation by developing a ray-tracing algorithm for use with the recently released NVidia RTX technology.
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    A Gesture Recognition Model for Virtual Reality Motion Controllers
    (The Eurographics Association, 2020) Headleand, Chris; Williams, Benjamin; Holopainen, Jussi; Gilliam, Marlon; Ritsos, Panagiotis D. and Xu, Kai
    In this paper we discuss gesture recognition in the domain of Virtual Reality (VR) video games. We begin by presenting a detailed review of the literature. Furthermore, we discuss some of the specific opportunities and challenges that are specific to the VR domain. Most commercial VR devices come with tracked motion controllers as a default interface which facilitates the possibility of gesture control. However, video games specifically require a high degree of accuracy to prevent non-gesture actions being evaluated. To tackle this challenge we present a novel modification to the Hidden Markov Model gesture recognition approach. We expand on previous work with gestures in with the implementation of an adaptive database system allowing users to quickly engage with an application without significant training. Our results on a benchmark problem shows that the approach can produce impressive accuracy rates. The results from our benchmarking shows promise for the usability of gesture based interaction systems for VR devices in the future. Our system achieves high levels of recognition accuracy competitive with the best performing existing system whilst requiring minimal user independent training.
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    Interaction Framework within Collaborative Virtual Environments for Multiple Users each interacting with Multiple Degrees-Of-Freedom Controllers
    (The Eurographics Association, 2020) Sandoval, Mario; Morris, Tim; Turner, Martin; Ritsos, Panagiotis D. and Xu, Kai
    Collaboration is a process in which two or more agents work together to achieve shared goals. However, many existing platforms cannot generate a collaborative environment to engage multiple users with multiple controllers in a seamless manner. To address this need, this poster and work in progress article will describe LISU (Library for Interactive Settings and User-modes) an input management computing framework that enables collaboration across multiple input controllers as its default. Within the system team members cohabit any real-time simulation environments simultaneously and are then able to jointly control visualisation software across multiple controllers while being continually monitored and evaluated at a low level, allowing research questions to be answered.
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    Controlling Game Objects Using Multiple Degrees-Of-Freedom
    (The Eurographics Association, 2020) Sandoval, Mario; Morris, Tim; Turner, Martin; Ritsos, Panagiotis D. and Xu, Kai
    LISU (Library for Interactive Settings and User-modes) is an input management computing framework which enables groups of researchers to cohabit real-time simulation environments simultaneously and to visualise and manipulate virtual objects within multiple computer-assisted visualisation applications. The key novelty of LISU is an automated layered approach (physicaldriver- transport-upper layers) with importantly a built-in HCI ontology and strictly defined set of sub-APIs between the layers. All of this allows multiple input devices with multiple degrees of freedom to interact simultaneously, allowing for more intuitive and natural behaviour. Evaluation combines both linear and non-linear user modes, with a comparison system provided by Unity3D. By combining human spatial reasoning and computer graphics theory, technologies like LISU have the potential to improve our ability to understand, test and evaluate, reengineer, and then communicate better virtual dataset behaviour.