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Evaluation of Different Radar Placements for Food Intake Monitoring Using Deep Learning

 
dc.contributor.authorWang, Chunzhuo
dc.contributor.authorKumar, T. Sunil
dc.contributor.authorDe Raedt, Walter
dc.contributor.authorCamps, Guido
dc.contributor.authorHallez, Hans
dc.contributor.authorVanrumste, Bart
dc.contributor.imecauthorWang, Chunzhuo
dc.contributor.imecauthorDe Raedt, Walter
dc.contributor.orcidimecDe Raedt, Walter::0000-0002-7117-7976
dc.date.accessioned2023-11-30T08:06:58Z
dc.date.available2023-08-19T18:10:05Z
dc.date.available2023-11-30T08:06:58Z
dc.date.issued2023
dc.description.wosFundingTextThe authors want to express their gratitude to the participants for their time and effort. This project is funded in part by KU Leuven under grant C3/20/016, in part by Goodbrother project (Network on Privacy-Aware Audio-and Video-Based Applications for Active and Assisted Living with COST Action 19121), and in part by the China Scholarship Council (CSC) under grant 202007650018.
dc.identifier.doi10.1109/RADARCONF2351548.2023.10149626
dc.identifier.eisbn978-1-6654-3669-4
dc.identifier.issnna
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42361
dc.publisherIEEE
dc.source.conferenceIEEE Radar Conference (RadarConf)
dc.source.conferencedateMAY 01-05, 2023
dc.source.conferencelocationSan Antonio
dc.source.journalna
dc.source.numberofpages6
dc.subject.keywordsDIARY
dc.subject.keywordsDIET
dc.title

Evaluation of Different Radar Placements for Food Intake Monitoring Using Deep Learning

dc.typeProceedings paper
dspace.entity.typePublication
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