| dc.contributor.author | Li, Mingming | |
| dc.contributor.author | Li, Jiaji | |
| dc.contributor.author | Chen, Haotian | |
| dc.contributor.author | Cao, Dingning | |
| dc.contributor.author | Sahin, Karla | |
| dc.contributor.author | Mueller, Stefanie | |
| dc.date.accessioned | 2025-10-07T20:56:17Z | |
| dc.date.available | 2025-10-07T20:56:17Z | |
| dc.date.issued | 2025-09-28 | |
| dc.identifier.isbn | 979-8-4007-2036-9 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/163073 | |
| dc.description | UIST Adjunct ’25, Busan, Republic of Korea | en_US |
| dc.description.abstract | We present a design and fabrication method for converting static 3D models into motion-capable, self-sensing structures using multi-material FDM 3D printing. Our method allows users to configure deformation behaviors, automatically generate printable circuits, and fabricate interactive objects using 3D printing in a single step without post-assembly or manual sensor integration. The 3D-printed circuits enable real-time detection of bending motions through a time-division multiplexing (TDM) circuit scheme. We demonstrate the effectiveness of our approach through sensing performance evaluation and several application examples. | en_US |
| dc.publisher | ACM|The 38th Annual ACM Symposium on User Interface Software and Technology | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3746058.3758350 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | Association for Computing Machinery | en_US |
| dc.title | Integrating Motion Sensing into 3D-Printed Bending Structures | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Mingming Li, Jiaji Li, Haotian Chen, Dingning Cao, Karla Sahin, and Stefanie Mueller. 2025. Integrating Motion Sensing into 3D-Printed Bending Structures. In Adjunct Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST Adjunct '25). Association for Computing Machinery, New York, NY, USA, Article 148, 1–3. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2025-10-01T07:47:32Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2025-10-01T07:47:32Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
