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dc.contributor.author Nagwade, Pritish -
dc.contributor.author Parandeh, Samira -
dc.contributor.author Lee, Sanghoon -
dc.date.accessioned 2023-11-14T15:10:19Z -
dc.date.available 2023-11-14T15:10:19Z -
dc.date.created 2023-10-04 -
dc.date.issued 2023-09 -
dc.identifier.issn 2769-5441 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46614 -
dc.description.abstract Human interaction with machines can be made easy, comfortable, and accessible by introducing user-friendly interfaces. In the case of wearable devices, their sensors and other interfacing elements are very well within the proximity of users. Since biopotential signals can be accessed from the surface of the human skin, users can have seamless interaction with wearable human-computer interactive devices. Rigid interfaces can hinder the user experience, and therefore, the need for soft biopotential interfaces is important. Imperceptible and unobtrusive soft biopotential interfaces will drastically enhance many aspects of human-computer interaction. This paper reviews the use of soft, flexible, and stretchable biopotential interfaces in wearable human-machine interactive devices. Additionally, attention is brought to the scope of other possible applications of soft biopotential interfaces in wearable devices. © The Author(s) 2023. -
dc.language English -
dc.publisher OAE Publishing Inc. -
dc.title Prospects of soft biopotential interfaces for wearable human-machine interactive devices and applications -
dc.type Article -
dc.identifier.doi 10.20517/ss.2023.12 -
dc.identifier.scopusid 2-s2.0-85171542210 -
dc.identifier.bibliographicCitation Soft Science, v.3, no.3 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor Biopotential -
dc.subject.keywordAuthor soft interface -
dc.subject.keywordAuthor wearable -
dc.subject.keywordAuthor interface -
dc.subject.keywordAuthor human-machine interface (HMI) -
dc.subject.keywordAuthor human-computer interaction (HCI) -
dc.citation.number 3 -
dc.citation.title Soft Science -
dc.citation.volume 3 -
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Department of Robotics and Mechatronics Engineering Neuro-Interfaced Robotics Lab 1. Journal Articles

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