| dc.contributor.author | AlAlawi, Marwa | |
| dc.contributor.author | Wang, Kexin | |
| dc.contributor.author | Zheng, Regina | |
| dc.contributor.author | Chan, Adelene | |
| dc.contributor.author | Feick, Martin | |
| dc.contributor.author | Mueller, Stefanie | |
| dc.date.accessioned | 2025-12-05T21:44:12Z | |
| dc.date.available | 2025-12-05T21:44:12Z | |
| dc.date.issued | 2025-09-27 | |
| dc.identifier.isbn | 979-8-4007-2036-9 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/164218 | |
| dc.description | UIST Adjunct ’25, Busan, Republic of Korea | en_US |
| dc.description.abstract | We introduce Ori-TENG, a design and fabrication framework for 3D
printed origami tessellations that function as triboelectric sensors
and energy harvesters. Ori-TENG structures are 3D printed flat in
a single step, then folded, with internal electrical routing optimized
for both folding mechanics and triboelectric performance. | en_US |
| dc.publisher | ACM|The 38th Annual ACM Symposium on User Interface Software and Technology | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3746058.3758435 | 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 | Ori-TENG: 3D Printed Origami Tessellations as Triboelectric Nanogenerators for Self-powered Sensing and Energy Harvesting | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Marwa AlAlawi, Kexin Wang, Regina Zheng, Adelene Chan, Martin Feick, and Stefanie Mueller. 2025. Ori-TENG: 3D Printed Origami Tessellations as Triboelectric Nanogenerators for Self-powered Sensing and Energy Harvesting. 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 153, 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 | 2025-10-01T07:48:46Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2025-10-01T07:48:46Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
