Glove Based User Interaction Techniques for Augmented Reality in an Outdoor Environment

Thomas, Bruce H.; Piekarski, Wayne

doi:10.1007/s100550200017

Cited by 58 publications

(27 citation statements)

References 34 publications

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“…Conventional input devices, such as touch screen, mouse, keyboard and joystick, are cumbersome to operators wearing safety gears, even though they are small enough to carry conveniently. Conventional glove-based interfaces, such as the Power Glove, CyberGlove, MIT LED glove and others [5], have shown to be highly accurate for the recognition of various hand gestures [6], [7], [8], [9]. However, these glove interfaces require complex and fragile sensor structures and wires and are not suitable for use in rugged environments.…”

Section: Introductionmentioning

confidence: 99%

The gestural joystick and the efficacy of the path tortuosity metric for human/robot interaction

Voyles

Bae

Godzdanker

2008

Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems

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This paper describes the design and evaluation of the "gestural joystick," a wearable 2-D pointing controller for mobile robots in hazardous environments that uses hand gestures. Hazardous environments, such as that of a collapsed building search, require operators to wear a significant amount of protective clothing. This protective clothing, which may include hard hats, suits, gloves, goggles, etc., reduces comfort, mobility, dexterity, load capacity, and ability to interact with conventional computer input devices. The gestural joystick, which is embedded in protective clothing, mitigates some of these impacts, but at the cost of lesser familiarity for the user and, therefore, potentially lesser performance. Effective performance metrics are required to evaluate this interface mechanism. Path tortuosity has been proposed as a performance metric for the evaluation of teleoperation of a robot, but has not been proven to be distinct from time-to-complete metrics. By injecting controlled uncertainty between the user and robot, we show, for the first time, that path tortuosity is a useful and distinct metric for the evaluation of robot teleoperation.

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Section: Introductionmentioning

confidence: 99%

The gestural joystick and the efficacy of the path tortuosity metric for human/robot interaction

Voyles

Bae

Godzdanker

2008

Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems

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“…For direct manipulation of AR content, these applications have so far relied on special interaction device technologies, such as pinch gloves with fiducial markers [29] or head-tohand tracking equipment such as the WearTrack solution [9]. In this paper, we present and evaluate a method to use a user's bare outstretched hand in the same way a cardboard AR marker would be used, enabling spontaneous tangible user interfaces in mobile settings.…”

Section: Introductionmentioning

confidence: 99%

Handy AR: Markerless Inspection of Augmented Reality Objects Using Fingertip Tracking

Lee

Höllerer

2007

2007 11th IEEE International Symposium on Wearable Computers

195

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We present markerless camera tracking and user interface methodology for readily inspecting augmented reality (AR) objects in wearable computing applications. Instead of a marker, we use the human hand as a distinctive pattern that almost all wearable computer users have readily available. We present a robust real-time algorithm that recognizes fingertips to reconstruct the 6DOF camera pose relative to the user's outstretched hand. A hand pose model is constructed in a one-time calibration step by measuring the fingertip positions in presence of ground-truth scale information. Through frame-by-frame reconstruction of the camera pose relative to the hand, we can stabilize 3D graphics annotations on top of the hand, allowing the user to inspect such virtual objects conveniently from different viewing angles in AR. We evaluate our approach with regard to speed and accuracy, and compare it to state-of-the-art marker-based AR systems. We demonstrate the robustness and usefulness of our approach in an example AR application for selecting and inspecting world-stabilized virtual objects.

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“…[ Thomas and Piekarski, 2002] and [Hoang et al, 2009] analysed an interaction system in an outdoor augmented reality environment, called Tinmith-Hand. Users can work in a collaborative environment for which they have a HMD and a pair of pinch gloves.…”

Section: Interfaces For Virtual Worldsmentioning

confidence: 99%

Augmented and Virtual Reality techniques for footwear

Jimeno-Morenilla¹,

Sánchez-Romero²,

Salas-Pérez³

2013

Computers in Industry

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The use of 3D imaging techniques has been early adopted in the footwear industry. In particular, 3D imaging could be used to aid commerce and improve the quality and sales of shoes. Footwear customization is an added value aimed not only to improve product quality, but also consumer comfort. Moreover, customisation implies a new business model that avoids the competition of mass production. However, footwear customisation implies a significant effort at different levels. In this paper, new advances in 3D techniques are successfully applied to footwear. Firstly, the characteristics of a stereoscopic vision system for footwear are presented. Secondly, a system for the interaction with virtual footwear models based on 3D gloves is detailed. Finally, an augmented reality system is presented that allow a hypothetical customer to check in real time the goodness of a given virtual footwear model from an aesthetical point of view.

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Glove Based User Interaction Techniques for Augmented Reality in an Outdoor Environment

Cited by 58 publications

References 34 publications

The gestural joystick and the efficacy of the path tortuosity metric for human/robot interaction

The gestural joystick and the efficacy of the path tortuosity metric for human/robot interaction

Handy AR: Markerless Inspection of Augmented Reality Objects Using Fingertip Tracking

Augmented and Virtual Reality techniques for footwear

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