DefSense: computational design of customized deformable input devices Conference Paper


Author(s): Bächer, Moritz; Hepp, Benjamin; Pece, Fabrizio; Kry, Paul G; Bickel, Bernd; Thomaszewski, Bernhard; Hilliges, Otmar
Title: DefSense: computational design of customized deformable input devices
Affiliation IST Austria
Abstract: We present a novel optimization-based algorithm for the design and fabrication of customized, deformable input devices, capable of continuously sensing their deformation. We propose to embed piezoresistive sensing elements into flexible 3D printed objects. These sensing elements are then utilized to recover rich and natural user interactions at runtime. Designing such objects is a challenging and hard problem if attempted manually for all but the simplest geometries and deformations. Our method simultaneously optimizes the internal routing of the sensing elements and computes a mapping from low-level sensor readings to user-specified outputs in order to minimize reconstruction error. We demonstrate the power and flexibility of the approach by designing and fabricating a set of flexible input devices. Our results indicate that the optimization-based design greatly outperforms manual routings in terms of reconstruction accuracy and thus interaction fidelity.
Keywords: fabrication; Reconstruction; Input devices; flexible; sensors
Conference Title: CHI: Conference on Human Factors in Computing Systems
Conference Dates: May 7 - 12, 2016
Conference Location: Santa Clara, CA, USA
ISBN: 978-1-4503-3362-7
Publisher: ACM  
Date Published: 2016-05-07
Start Page: 3806
End Page: 3816
DOI: 10.1145/2858036.2858354
Notes: We thank Damian Karrer, Rocco Ghielmini and Jemin Hwangbo for their help in our initial explorations. We would like to thank Christian Schumacher for creating the video and C ́ ecile Edwards-Rietmann for providing the voiceover. Mau- rizio Nitti helped us in designing our 3D characters. We thank Chiara Daraio for insightful discussions on material proper- ties and 3D printing. We also thank the CHI reviewers for their feedback and guidance. Fabrizio Pece was supported by an ETH/Marie Curie fellowship (FEL-3314-1).
Open access: no
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