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CNN based approach for activity recognition using a wrist-worn accelerometer

dc.contributor.authorPanwar, Madhuri
dc.contributor.authorDyuthi, S. Ram
dc.contributor.authorPrakash, K. Chandra
dc.contributor.authorBiswas, Dwaipayan
dc.contributor.authorAcharyya, Amit
dc.contributor.authorMaharatna, Koushik
dc.contributor.authorNaik, Ganesh R
dc.date.accessioned2021-10-24T10:41:49Z
dc.date.available2021-10-24T10:41:49Z
dc.date.issued2017
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/29140
dc.sourceIIOimport
dc.titleCNN based approach for activity recognition using a wrist-worn accelerometer
dc.typeProceedings paper
dc.contributor.imecauthorBiswas, Dwaipayan
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage2438
dc.source.endpage2441
dc.source.conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC
dc.source.conferencedate11/07/2017
dc.source.conferencelocationJeju Island Korea
dc.identifier.urlhttp://ieeexplore.ieee.org/document/8037349/
imec.availabilityPublished - open access


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