OptiStructures

Author:

Swaminathan Saiganesh1,Fagert Jonathon2,Rivera Michael1,Cao Andrew2,Laput Gierad1,Noh Hae Young3,Hudson Scott E.1

Affiliation:

1. Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA

2. Dept. of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA

3. Dept. of Civil and Environmental Engineering, Stanford University, Stanford, CA

Abstract

A recent topic of considerable interest in the "smart building" community involves building interactive devices using sensors, and rapidly creating these objects using new fabrication methods. However, much of this work has been done at what might be called hand scale, with less attention paid to larger objects and structures (at furniture or room scales) despite the fact that we are very often literally surrounded by such objects. In this work, we present a new set of techniques for creating interactive objects at these scales. We demonstrate fabrication of both input sensors and displays directly into cast materials -those formed from a liquid or paste which solidifies in a mold; including, for example: concrete, plaster, polymer resins, and composites. Through our novel set of sensing and fabrication techniques, we enable human activity recognition at room scale and across a variety of materials. Our techniques create objects that appear the same as typical passive objects, but contain internal fiber optics for both input sensing and simple displays. We use a new fabrication device to inject optical fibers into CNC milled molds. Fiber Bragg Grating optical sensors configured as very sensitive vibration sensors are embedded in these objects. These require no internal power, can be placed at multiple locations along a single fiber, and can be interrogated from the end of the fiber. We evaluate the performance of our system by creating two full-scale application prototypes: an interactive wall, and an interactive table. With these prototypes, we demonstrate the ability of our system to sense a variety of human activities across eight different users. Our tests show that with suitable materials these sensors can detect and classify both direct interactions (such as tapping) and more subtle vibrations caused by activities such as walking across the floor nearby.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference59 articles.

1. Nasa armstrong fact sheet: Fiber optic sensing system | nasa. https://www.nasa.gov/centers/armstrong/news/FactSheets/FS-110-AFRC.html. (Accessed on 02/09/2020). Nasa armstrong fact sheet: Fiber optic sensing system | nasa. https://www.nasa.gov/centers/armstrong/news/FactSheets/FS-110-AFRC.html. (Accessed on 02/09/2020).

2. Baam - big area additive manufacturing 2019. Baam - big area additive manufacturing 2019.

3. Boxzy home 2019. Boxzy home 2019.

4. Objet30 pro desktop 3d printer for rapid prototyping 2019. Objet30 pro desktop 3d printer for rapid prototyping 2019.

5. Fiber Bragg Grating Manufacturing Workstation Apr 2020. [Online; accessed 27. Apr. 2020]. Fiber Bragg Grating Manufacturing Workstation Apr 2020. [Online; accessed 27. Apr. 2020].

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