DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, Sang Ho | ko |
dc.contributor.author | Paredes, Luis | ko |
dc.contributor.author | Huo, Ke | ko |
dc.contributor.author | Ramani, Karthik | ko |
dc.date.accessioned | 2021-10-06T07:10:25Z | - |
dc.date.available | 2021-10-06T07:10:25Z | - |
dc.date.created | 2021-10-05 | - |
dc.date.created | 2021-10-05 | - |
dc.date.issued | 2018-09 | - |
dc.identifier.citation | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v.2, no.3, pp.1 - 21 | - |
dc.identifier.issn | 2474-9567 | - |
dc.identifier.uri | http://hdl.handle.net/10203/288063 | - |
dc.description.abstract | <jats:p>We introduce MultiSoft, a multilayer soft sensor capable of sensing real-time contact localization, classification of deformation types, and estimation of deformation magnitudes. We propose a multimodal sensing pipeline that carries out both inverse problem solving and machine learning tasks. Specifically, we employ an electrical impedance tomography (EIT) for contact localization and a support vector machine (SVM) for classifying deformations and regressing their magnitudes. We propose a deformation-aware system which enables maintaining a persistent single-point contact localization throughout the deformation. By updating a time-varying distribution of conductivity change caused by deformations, a single-point contact localization can be maintained and restored to support interaction using both contact localization and deformations.We devise a multilayer structure to fabricate a highly stretchable and flexible soft sensor with a short sensor settlement after excitations. Through a series of experiments and evaluations, we validate both raw sensor and multimodal sensing performance with the proposed method. We further demonstrate applicability and feasibility of MultiSoft with example applications.</jats:p> | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery (ACM) | - |
dc.title | MultiSoft: Soft Sensor Enabling Real-Time Multimodal Sensing with Contact Localization and Deformation Classification | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 2 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 1 | - |
dc.citation.endingpage | 21 | - |
dc.citation.publicationname | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies | - |
dc.identifier.doi | 10.1145/3264955 | - |
dc.contributor.localauthor | Yoon, Sang Ho | - |
dc.contributor.nonIdAuthor | Paredes, Luis | - |
dc.contributor.nonIdAuthor | Huo, Ke | - |
dc.contributor.nonIdAuthor | Ramani, Karthik | - |
dc.description.isOpenAccess | N | - |
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