Combining multiple depth cameras and projectors for interactions on, above and between surfaces

Wilson, Andrew; Benko, Hrvoje

doi:10.1145/1866029.1866073

Cited by 276 publications

(171 citation statements)

References 30 publications

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“…Projector [27], mSpaces [38], Chameleon [66], Pass-them-around [128], Peephole displays [230], dynamically defined information spaces [36], PenLight [188], MouseLight [189], Augmented Surfaces [177], PlayAywhere [225], Lightspace [226], Bonfire [105] and X-Large virtual workspaces [109].…”

Section: Categorizing Existing Designsmentioning

confidence: 99%

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The personal cockpit

Ens

Finnegan

Irani

2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Section: Categorizing Existing Designsmentioning

confidence: 99%

“…Surfaces can be detected dynamically to allow projection onto moving surfaces such as paper or people's hands [176,226]. Advanced prototype systems consisting of sensors and projectors have been developed to simultaneously map the environment and support projection-based interactions [147].…”

Section: Related Workmentioning

confidence: 99%

The personal cockpit

Ens

Finnegan

Irani

2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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“…Researchers have also explored the possibilities of providing in-situ feedback and guidance using spatial augmented reality, which uses a combination of projectors and depth cameras and thus eliminates the need for users to wear additional apparel. For example, LightSpace [27] shows when users are tracked by the system by projecting colored higlights on the user's body. LightGuide [28] uses a projector and depth cameras to project visualizations on the user's body that provide movement guidance.…”

Section: In-situ Feedback and Guidancementioning

confidence: 99%

Proxemic Flow: Dynamic Peripheral Floor Visualizations for Revealing and Mediating Large Surface Interactions

Vermeulen

Luyten

Coninx

et al. 2015

Human-Computer Interaction – INTERACT 2015

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract. Interactive large surfaces have recently become commonplace for interactions in public settings. The fact that people can engage with them and the spectrum of possible interactions, however, often remain invisible and can be confusing or ambiguous to passersby. In this paper, we explore the design of dynamic peripheral floor visualizations for revealing and mediating large surface interactions. Extending earlier work on interactive illuminated floors, we introduce a novel approach for leveraging floor displays in a secondary, assisting role to aid users in interacting with the primary display. We illustrate a series of visualizations with the illuminated floor of the Proxemic Flow system. In particular, we contribute a design space for peripheral floor visualizations that (a) provides peripheral information about tracking fidelity with personal halos, (b) makes interaction zones and borders explicit for easy opt-in and opt-out, and (c) gives cues inviting for spatial movement or possible next interaction steps through wave, trail, and footstep animations. We demonstrate our proposed techniques in the context of a large surface application and discuss important design considerations for assistive floor visualizations. Permanent repository link

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“…However, the problem of multi-depth camera room supervision for other applications is tackled by [16] who developed a multi-Kinect system for interaction with the environment and a past self, by [28] who are focusing on the "The room is the computer" and the "Body as display" approach as well as [8] who are tackling the problem of interference induced by using multiple structured light Primesense (Primesense, Tel-Aviv, Israel) devices. Other approaches like [17] and [29] focus on multi-Kinect people tracking and dynamic scene reconstruction from asynchronous depth cameras.…”

Section: Introductionmentioning

confidence: 99%

Time-of-flight-assisted Kinect camera-based people detection for intuitive human robot cooperation in the surgical operating room

et al. 2015

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Background Scene supervision is a major tool to make medical robots safer and more intuitive. The paper shows an approach to efficiently use 3D cameras within the surgical operating room to enable for safe human robot interaction and action perception. Additionally the presented approach aims to make 3D camera-based scene supervision more reliable and accurate. Methods A camera system composed of multiple Kinect and time-of-flight cameras has been designed, implemented and calibrated. Calibration and object detection as well as people tracking methods have been designed and evaluated. Results The camera system shows a good registration accuracy of 0.05 m. The tracking of humans is reliable and accurate and has been evaluated in an experimental setup using operating clothing. The robot detection shows an error of around 0.04 m. Conclusions The robustness and accuracy of the approach allow for an integration into modern operating room. The data output can be used directly for situation and workflow detection as well as collision avoidance.

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Combining multiple depth cameras and projectors for interactions on, above and between surfaces

Cited by 276 publications

References 30 publications

The personal cockpit

The personal cockpit

Proxemic Flow: Dynamic Peripheral Floor Visualizations for Revealing and Mediating Large Surface Interactions

Time-of-flight-assisted Kinect camera-based people detection for intuitive human robot cooperation in the surgical operating room

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