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  • 學位論文

支援物件形變偵測之條狀感測器設計

FlexiBend: Designing Shape-Aware Strip for Sensing Deformables

指導教授 : 陳炳宇
共同指導教授 : 詹力韋(Liwei Chan)

摘要


在這篇論文中,我們提出FlexiBend,一個用於偵測可變形物體的條狀形變感測器。 隨著3D製作技術的的進步,創客(Maker)開始注意到如何讓製作出的物體具有互動性。 在過去研究中的解決方案,常會遇上必須要加裝多個感測器的方式,但這樣對使用者來說非常的麻煩。 過去提出使用單一感測器的方式,又很難支援高自由度的偵測。 FlexiBend利用多個呈線型排列組成的應變規作為感測裝置,因此可以做到不需要外界感測器輔助的一體化設計。 由於這樣的設計,FlexiBend可以輕易的塞入可撓曲物件中作為感測物體變形的依據。 也可以進一步透過輸入元件的設計,使得多物件的可變形物體可以藉由安裝的FlexiBend感測到使用者在這些元件上的輸入。 此外,我們也在這篇論文中討論,賦予FlexiBend可定型、顯示或是動作感測的能力後,作為有形的輸入裝置的可能性。 我們在這篇論文中,詳述FlexiBend的硬體製作過程,以及如何藉著應變規的感測資料重建形變後的形狀。 而重建精確度的測試結果也證明FlexiBend的確能夠感測複雜的變形。 我們也描述如何利用FlexiBend來感測可撓曲的物件,以及在配合元件的設計下,感測元件的輸入變形。 更進一步,我們探討將FlexiBend作為有形的輸入裝置的可能應用

並列摘要


We present FlexiBend, a shape-aware strip for sensing deformables, which is made by a dense linear array of strain gauges for shape sensing. With its self-sensing nature, FlexiBend can be easily installed into deformables. After installation, FlexiBend can simultaneously sense user inputs on different parts of a fabrication, or even capture the geometry of a deformable fabrication. Furthermore, by enabling advanced features, such as shape-retaining property, display capability, and motion sensing on FlexiBend, user can also use FlexiBend as a tangible input device. In this thesis, we describe the hardware setup of this shape-aware strip sensor and the deformation reconstruction algorithm for shape sensing. An evaluation shows our prototype is capable of reconstructing complex deformations accurately. We also detail using FlexiBend to detect deformation for flexible models and, with the widget design, for multi-part deformables. We further discuss the potential use for FlexiBend serving as a tangible input device.

參考文獻


[21] Vinh P. Nguyen, Sang Ho Yoon, Ansh Verma, and Karthik Ramani. Bendid: Flexible interface for localized deformation recognition. In Proc. ACM UbiComp ’14, pages 553–557, 2014.
[10] Valkyrie Savage, Ryan Schmidt, Tovi Grossman, George Fitzmaurice, and Bjorn Hartmann. A series of tubes: Adding interactivity to 3d prints using internal pipes. In Proc. ACM UIST ’14, pages 3–12, 2014.
[15] Christian Rendl, David Kim, Sean Fanello, Patrick Parzer, Christoph Rhemann, Jonathan Taylor, Martin Zirkl, Gregor Scheipl, Thomas Rothlander, Michael Haller,and Shahram Izadi. Flexsense: A transparent self-sensing deformable surface. In Proc. ACM UIST ’14, pages 129–138, 2014.
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[2] Yuta Sugiura, Gota Kakehi, Anusha Withana, Calista Lee, Daisuke Sakamoto, Maki Sugimoto, Masahiko Inami, and Takeo Igarashi. Detecting shape deformation of soft objects using directional photoreflectivity measurement. In Proc. ACM UIST ’11, pages 509–516, 2011.

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