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Prototyping Shape-Sensing Fabrics Through Physical Simulation

Rus, Silvia and Hammacher, Felix and von Wilmsdorff, Julian and Braun, Andreas and Grosse-Puppendahl, Tobias and Kirchbuchner, Florian and Kuijper, Arjan (2018):
Prototyping Shape-Sensing Fabrics Through Physical Simulation.
In: Ambient Intelligence, Cham, Springer, In: European Conference on Ambient Intelligence (AmI), Larnaca, Cyprus, 2018, In: Lecture Notes in Computer Science (LNCS), 11249, ISSN 0302-9743,
ISBN 978-3-030-03061-2,
DOI: 10.1007/978-3-030-03062-9_12,
[Online-Edition: https://doi.org/10.1007/978-3-030-03062-9_12],
[Conference or Workshop Item]

Abstract

Embedding sensors into fabrics can leverage substantial improvements in application areas like working safety, 3D modeling or health-care, for example to recognize the risk of developing skin ulcers. Finding a suitable setup and sensor combination for a shape-sensing fabric currently relies on the intuition of an application engineer. We introduce a novel approach: Simulating the shape-sensing fabric first and optimize the design to achieve better real-world implementations. In order to enable developers to easily prototype their shape-sensing scenario, we have implemented a framework that enables soft body simulation and virtual prototyping. To evaluate our approach, we investigate the design of a system detecting sleeping postures. We simulate potential designs first, and implement a bed cover consisting of 40 distributed acceleration sensors. The validity of our framework is confirmed by comparing the simulated and real evaluation results. We show that both approaches achieve similar performances, with an F-measure of 85% for the virtual prototype and 89% for the real-world implementation.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Rus, Silvia and Hammacher, Felix and von Wilmsdorff, Julian and Braun, Andreas and Grosse-Puppendahl, Tobias and Kirchbuchner, Florian and Kuijper, Arjan
Title: Prototyping Shape-Sensing Fabrics Through Physical Simulation
Language: English
Abstract:

Embedding sensors into fabrics can leverage substantial improvements in application areas like working safety, 3D modeling or health-care, for example to recognize the risk of developing skin ulcers. Finding a suitable setup and sensor combination for a shape-sensing fabric currently relies on the intuition of an application engineer. We introduce a novel approach: Simulating the shape-sensing fabric first and optimize the design to achieve better real-world implementations. In order to enable developers to easily prototype their shape-sensing scenario, we have implemented a framework that enables soft body simulation and virtual prototyping. To evaluate our approach, we investigate the design of a system detecting sleeping postures. We simulate potential designs first, and implement a bed cover consisting of 40 distributed acceleration sensors. The validity of our framework is confirmed by comparing the simulated and real evaluation results. We show that both approaches achieve similar performances, with an F-measure of 85% for the virtual prototype and 89% for the real-world implementation.

Title of Book: Ambient Intelligence
Series Name: Lecture Notes in Computer Science (LNCS)
Volume: 11249
Place of Publication: Cham
Publisher: Springer
ISBN: 978-3-030-03061-2
Uncontrolled Keywords: Interactive simulation, Pervasive interfaces, Frameworks
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: European Conference on Ambient Intelligence (AmI)
Event Location: Larnaca, Cyprus
Event Dates: 2018
Date Deposited: 01 Jul 2019 08:47
DOI: 10.1007/978-3-030-03062-9_12
Official URL: https://doi.org/10.1007/978-3-030-03062-9_12
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