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Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned

 
dc.contributor.authorBhat, Nabeel
dc.contributor.authorBerkvens, Rafael
dc.contributor.authorFamaey, Jeroen
dc.contributor.imecauthorBerkvens, Rafael
dc.contributor.imecauthorFamaey, Jeroen
dc.contributor.imecauthorBhat, Nabeel
dc.contributor.orcidimecBerkvens, Rafael::0000-0003-0064-5020
dc.contributor.orcidimecFamaey, Jeroen::0000-0002-3587-1354
dc.contributor.orcidimecBerkvens, Raf::0000-0003-0064-5020
dc.contributor.orcidimecBhat, Nabeel::0000-0003-2375-8618
dc.date.accessioned2024-06-06T09:43:12Z
dc.date.available2023-09-07T17:31:09Z
dc.date.available2024-06-06T09:43:12Z
dc.date.issued2023
dc.description.wosFundingTextThis research is partly funded by the FWO WaveVR project (Grant number: G034322N).
dc.identifier.doi10.1109/WoWMoM57956.2023.00027
dc.identifier.eisbn979-8-3503-3165-3
dc.identifier.issnN/A
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42477
dc.publisherIEEE COMPUTER SOC
dc.source.beginpage127
dc.source.conference24th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
dc.source.conferencedateJUN 12-15, 2023
dc.source.conferencelocationBoston
dc.source.endpage136
dc.source.journalN/A
dc.source.numberofpages10
dc.subject.keywordsLOCALIZATION
dc.title

Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned

dc.typeProceedings paper
dspace.entity.typePublication
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