TY - GEN
T1 - ConductAR
T2 - 3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015
AU - Narumi, Koya
AU - Hodges, Steve
AU - Kawahara, Yoshihiro
N1 - Publisher Copyright:
Copyright © 2015 ACM.
PY - 2015/9/7
Y1 - 2015/9/7
N2 - Recent advances in materials science have resulted in a range of commercially viable and easy-To-use conductive inks which novices, hobbyists, educators, students and researchers are now using to design and build interactive circuits quickly. Despite the ease with which practitioners can construct working circuits, one of the major limitations of designing circuits on-The-fly is the difficulty of detecting and understanding errors in prototype circuits. As well as short-and open-circuits, which often prevent a circuit from working at all, more subtle issues like high resistance traces can result in poor performance. Many users can't readily work out how to successfully modify their circuits, and they often don't have the tools or expertise to measure the relevant circuit parameters. In this paper we present ConductAR, a tool which can recognize and analyze handdrawn, printed and hybrid conductive ink patterns. An onscreen augmented reality style interaction helps users to understand and enhance circuit operation. A key element of ConductAR is its ability to calculate the resistance of a circuit using a camera attached to an off-The-shelf PC or tablet. Our sparse coding technique is fast enough to support rapid iterative prototyping on real circuits using a conductive ink marker and/or eraser as shown in Figure 1. The system thereby enhances the feasibility of circuit prototyping with conductive ink.
AB - Recent advances in materials science have resulted in a range of commercially viable and easy-To-use conductive inks which novices, hobbyists, educators, students and researchers are now using to design and build interactive circuits quickly. Despite the ease with which practitioners can construct working circuits, one of the major limitations of designing circuits on-The-fly is the difficulty of detecting and understanding errors in prototype circuits. As well as short-and open-circuits, which often prevent a circuit from working at all, more subtle issues like high resistance traces can result in poor performance. Many users can't readily work out how to successfully modify their circuits, and they often don't have the tools or expertise to measure the relevant circuit parameters. In this paper we present ConductAR, a tool which can recognize and analyze handdrawn, printed and hybrid conductive ink patterns. An onscreen augmented reality style interaction helps users to understand and enhance circuit operation. A key element of ConductAR is its ability to calculate the resistance of a circuit using a camera attached to an off-The-shelf PC or tablet. Our sparse coding technique is fast enough to support rapid iterative prototyping on real circuits using a conductive ink marker and/or eraser as shown in Figure 1. The system thereby enhances the feasibility of circuit prototyping with conductive ink.
KW - Conductive Ink
KW - Education
KW - Makers
KW - Rapid Prototyping
UR - https://www.scopus.com/pages/publications/84960854954
UR - https://www.scopus.com/pages/publications/84960854954#tab=citedBy
U2 - 10.1145/2750858.2804267
DO - 10.1145/2750858.2804267
M3 - Conference contribution
AN - SCOPUS:84960854954
T3 - UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
SP - 791
EP - 800
BT - UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery, Inc
Y2 - 7 September 2015 through 11 September 2015
ER -