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TooltY: An Approach for the Combination of Motion Capture and 3D Reconstruction to Present Tool Usage in 3D Environments

Authors: George Papagiannakis; George Papagiannakis; Xenophon Zabulis; Evropi Stefanidi; Evropi Stefanidi; Evropi Stefanidi; Paul Zikas; +3 Authors

TooltY: An Approach for the Combination of Motion Capture and 3D Reconstruction to Present Tool Usage in 3D Environments

Abstract

Visualization techniques for the usage of tools, handicrafts, and assembly operations are employed for demonstrating processes (e.g., assembly instructions). Until today, most commonly used techniques include written information, sketches in manuals, video instructions, etc. The evolution of technology nowadays has generated mature methods for transforming movement to digital information that can be processed and replicated. Motion capture together with 3D reconstruction techniques can provide new ways of digitizing handicrafts. At the same time, Virtual Humans can be used to present craft processes, as well as to demonstrate the usage of tools. For this, the tools utilized in these processes need to be transferred to the digital world. In this paper, we present TooltY, a 3D authoring platform for tool usage presentation in 3D environments, to demonstrate simple operations (e.g., usage of a hammer, scissors, screwdriver), where the tools are the product of 3D reconstruction. The movement of the Virtual Humans derives from motion capture, while for the movement of the tools, a novel approach is used, for inducing the tool motion from the human motion capture. The products of TooltY are Virtual Environments that can be experienced in 3D or through immersion in Virtual Reality.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
10
Top 10%
Average
Top 10%
7
15
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