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dc.contributor.authorMurphy, Devin
dc.contributor.authorLi, Yichen
dc.contributor.authorOwens, Crystal
dc.contributor.authorStanton, Layla
dc.contributor.authorLiang, Paul Pu
dc.contributor.authorLuo, Yiyue
dc.contributor.authorTorralba, Antonio
dc.contributor.authorMatusik, Wojciech
dc.date.accessioned2025-12-17T16:36:03Z
dc.date.available2025-12-17T16:36:03Z
dc.date.issued2025-04-25
dc.identifier.isbn979-8-4007-1395-8
dc.identifier.urihttps://hdl.handle.net/1721.1/164380
dc.descriptionCHI EA ’25, Yokohama, Japanen_US
dc.description.abstractResistive tactile sensing gloves have captured the interest of researchers spanning diverse domains, such as robotics, healthcare, and human-computer interaction. However, existing fabrication methods often require labor-intensive assembly or costly equipment, limiting accessibility. Leveraging flexible printed circuit board (FPCB) technology, we present an automated pipeline for generating resistive tactile sensing glove design files solely from a simple hand photo on legal-size paper, which can be readily supplied to commercial board houses for manufacturing. Our method enables cost-effective, accessible production at under $130 per glove with sensor assembly times under 15 minutes. Sensor performance was characterized under varying pressure loads, and a preliminary user evaluation showcases four unique automatically manufactured designs, evaluated for their reliability and comfort.en_US
dc.publisherACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3706599.3720147en_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.titleFits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Glovesen_US
dc.typeArticleen_US
dc.identifier.citationDevin Murphy, Yichen Li, Crystal Elaine Owens, Layla Stanton, Paul Pu Liang, Yiyue Luo, Antonio Torralba, and Wojciech Matusik. 2025. Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves. 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 280, 1–8.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architectureen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_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.updated2025-08-01T08:27:34Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-08-01T08:27:37Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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