Show simple item record

dc.contributor.authorOzbek, Doga
dc.contributor.authorAlAlawi, Marwa
dc.contributor.authorWessely, Michael
dc.date.accessioned2025-12-17T16:10:15Z
dc.date.available2025-12-17T16:10:15Z
dc.date.issued2025-04-25
dc.identifier.isbn979-8-4007-1395-8
dc.identifier.urihttps://hdl.handle.net/1721.1/164377
dc.descriptionCHI EA ’25, Yokohama, Japanen_US
dc.description.abstractWe introduce AcceloPrint, 3D-printed acceleration sensors that can be fabricated in one pass alongside a 3D object and report on its angular orientation or acceleration. AcceloPrint utilizes capacitive sensing to track the deflection of a 3D printed cantilever beam to a sensor patch. Our AcceloPrint tool integrated into a 3D editor generates a sensor with a user-defined sensing range generated by our computational model. We also propose a novel sensor design with an adjustable sensing range post-fabrication. Our technical evaluation shows our sensor can detect acceleration up to 50 m/s2, with a root mean squared error of 0.35 m/s2 (%3.57) in the range up to 10 m/s2. We demonstrate AcceloPrint with three application examples on sports performance tracking and tangible tools.en_US
dc.publisherACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3706599.3720059en_US
dc.rightsArticle 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.sourceAssociation for Computing Machineryen_US
dc.titleAcceloPrint: Fabricating Customizable Accelerometers with Multi-Material 3D Printingen_US
dc.typeArticleen_US
dc.identifier.citationDoga Ozbek, Marwa AlAlawi, and Michael Wessely. 2025. AcceloPrint: Fabricating Customizable Accelerometers with Multi-Material 3D Printing. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25). Association for Computing Machinery, New York, NY, USA, Article 59, 1–8.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2025-08-01T08:25:39Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-08-01T08:25:39Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record