Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22017
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dc.contributor.authorGjoreski, Hristijanen_US
dc.contributor.authorCiliberto, Mathiasen_US
dc.contributor.authorWang, Linen_US
dc.contributor.authorOrdonez Morales, Francisco Javieren_US
dc.contributor.authorMekki, Samien_US
dc.contributor.authorValentin, Stefanen_US
dc.contributor.authorRoggen, Danielen_US
dc.date.accessioned2022-08-09T09:15:28Z-
dc.date.available2022-08-09T09:15:28Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22017-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE Accessen_US
dc.titleThe University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devicesen_US
dc.identifier.doi10.1109/access.2018.2858933-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/6287639/8274985/08418369.pdf?arnumber=8418369-
dc.identifier.volume6-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Journal Articles
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