Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/25742
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dc.contributor.authorCoskun, Buketen_US
dc.contributor.authorUluer, Pinaren_US
dc.contributor.authorToprak, Elifen_US
dc.contributor.authorBarkana, Duygun Erolen_US
dc.contributor.authorKose, Haticeen_US
dc.contributor.authorZorcec, Tatjanaen_US
dc.contributor.authorRobins, Benen_US
dc.contributor.authorLandowska, Agnieszkaen_US
dc.date.accessioned2023-02-16T12:21:35Z-
dc.date.available2023-02-16T12:21:35Z-
dc.date.issued2022-08-21-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/25742-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleStress Detection of Children with Autism using Physiological Signals in Kaspar Robot-Based Intervention Studiesen_US
dc.typeArticleen_US
dc.relation.conference2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)en_US
dc.identifier.doi10.1109/biorob52689.2022.9925485-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/9925247/9925241/09925485.pdf?arnumber=9925485-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Medicine-
Appears in Collections:Faculty of Medicine: Conference papers
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