| dc.contributor.author | Murphy, Devin | |
| dc.contributor.author | Li, Yichen | |
| dc.contributor.author | Owens, Crystal | |
| dc.contributor.author | Stanton, Layla | |
| dc.contributor.author | Liang, Paul Pu | |
| dc.contributor.author | Luo, Yiyue | |
| dc.contributor.author | Torralba, Antonio | |
| dc.contributor.author | Matusik, Wojciech | |
| dc.date.accessioned | 2025-12-17T16:36:03Z | |
| dc.date.available | 2025-12-17T16:36:03Z | |
| dc.date.issued | 2025-04-25 | |
| dc.identifier.isbn | 979-8-4007-1395-8 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/164380 | |
| dc.description | CHI EA ’25, Yokohama, Japan | en_US |
| dc.description.abstract | Resistive 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.publisher | ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3706599.3720147 | 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 | Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Devin 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.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Architecture | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | 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 | 2025-08-01T08:27:34Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2025-08-01T08:27:37Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |