Anyone for Tennis?

Molet, Tom; Aubel, Amaury; Çapın, Tolga; Carion, Stéphane; Lee, Elwin; Magnenat‐Thalmann, Nadia; Noser, Hansrudi; Pandžić, Igor S.; Sannier, G.; Thalmann, Daniel

doi:10.1162/105474699566134

Cited by 54 publications

(13 citation statements)

References 2 publications

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“…These allow today's CVEs to support limited real time sharing of objects. A virtual tennis game was played (Molet et al, 1999) where the position attribute of the ball was shared sequentially between two sites. Prediction was shown to overcome the effect of network delays in a simple ball game between UK and Germany (Roberts, Strassner, Worthington, & Sharkey, 1999).…”

Section: Related Workmentioning

confidence: 99%

Constructing a Gazebo: Supporting Teamwork in a Tightly Coupled, Distributed Task in Virtual Reality

Roberts

Wolff

Otto

et al. 2003

Presence: Teleoperators & Virtual Environments

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Many tasks require teamwork. Team members may work concurrently but there must be some occasions of coming together. Collaborative Virtual Environments (CVE) allow distributed teams to come together across distance to share a task. Studies of CVE system have tended to look at the sense of presence or co-presence with other people. They have avoided studying close interaction between users, such as the shared manipulation of objects, because CVEs suffer from inherent network delays and often have cumbersome user interfaces. Little is known about the effectiveness of collaboration in tasks requiring various forms of object sharing and, in particular, the concurrent manipulation of objects. This paper investigates the effectiveness of supporting teamwork between a geographically distributed group, in a task requiring the shared manipulation of objects. In order to complete the task, users must share objects through concurrent manipulation of both, the same, and distinct attributes. The effectiveness of teamwork is measured in terms of time taken to achieve each step, as well as the impression of users. The effect of interface is examined by comparing various combinations of walk-in cubic Immersive Projection Technology (IPT) displays and desktop devices.

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Section: Related Workmentioning

confidence: 99%

Constructing a Gazebo: Supporting Teamwork in a Tightly Coupled, Distributed Task in Virtual Reality

Roberts

Wolff

Otto

et al. 2003

Presence: Teleoperators & Virtual Environments

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“…There are computer-managed weight lifting machines and treadmills recording energy consumption or repetition achieved in every sports club. In the attempt to assist more professional sports activities, some researchers have used the virtual reality technology to create training systems in baseball [Komura et al 2002], handball [Bideau et al 2003] and tennis [Molet et al 1999]. Nevertheless, the analysis of motions done in these technologies are usually on the low level: recording the timing of basic motions or comparing the trajectories with those by better players.…”

Section: Introductionmentioning

confidence: 99%

SkillVis

Shum

Wang

et al. 2016

Proceedings of the 9th International Conference on Motion in Games

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Figure 1: Our system visualizes high-level boxing skills such as the richness of actions and the transition of them with a graph structure. A graph representation is employed with the characters of different sizes representing nodes with different sizes and edges representing groups of actions. AbstractMotion analysis and visualization are crucial in sports science for sports training and performance evaluation. While primitive computational methods have been proposed for simple analysis such as postures and movements, few can evaluate the high-level quality of sports players such as their skill levels and strategies. We propose a visualization tool to help visualizing boxers' motions and assess their skill levels. Our system automatically builds a graph-based representation from motion capture data and reduces the dimension of the graph onto a 3D space so that it can be easily visualized and understood. In particular, our system allows easy understanding of the boxer's boxing behaviours, preferred actions, potential strength and weakness. We demonstrate the effectiveness of our system on different boxers' motions. Our system not only serves as a tool for visualization, it also provides intuitive motion analysis that can be further used beyond sports science.

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“…A virtual tennis game by VR devices utilized headmounted displays, magnetic sensors, and data gloves to bring interactivity to the virtual tennis environment [4]. Their motion capture equipment interfered with game play as it restricted player motion.…”

Section: Introductionmentioning

confidence: 99%