Automatic motion capture marker identification with supervised deep learning algorithms

dc.contributor.authorRemmelg, Sten
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.departmentChalmers University of Technology / Department of Electrical Engineeringen
dc.date.accessioned2019-07-03T14:51:43Z
dc.date.available2019-07-03T14:51:43Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/20.500.12380/255774
dc.language.isoeng
dc.relation.ispartofseriesExamensarbete - Institutionen för elektroteknik, Chalmers tekniska högskola : EX089/2018
dc.setspec.uppsokTechnology
dc.subjectElektroteknik och elektronik
dc.subjectElectrical Engineering, Electronic Engineering, Information Engineering
dc.titleAutomatic motion capture marker identification with supervised deep learning algorithms
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeBiomedical engineering (MPBME), MSc
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