Show simple item record

Vessel tracking vision system using a combination of Kaiman filter, Bayesian classification, and adaptive tracking algorithm

contributor authorYun Jip Kim , Yun Koo Chung , Byung Gil Lee
date accessioned2020-03-12T19:35:57Z
date available2020-03-12T19:35:57Z
date issued2014
identifier other6778948.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/983168?show=full
formatgeneral
languageEnglish
publisherIEEE
titleVessel tracking vision system using a combination of Kaiman filter, Bayesian classification, and adaptive tracking algorithm
typeConference Paper
contenttypeMetadata Only
identifier padid8098443
subject keywordsbiomechanics
subject keywordsbiomedical measurement
subject keywordsbody sensor networks
subject keywordsbone
subject keywordscameras
subject keywordselectromyography
subject keywordsmedical robotics
subject keywordspatient care
subject keywordspatient monitoring
subject keywordspatient rehabilitation
subject keywordsphysiological models
subject keywordstorque
subject keywordsuser interfaces
subject keywordsdedicated wireless on-body sensors
subject keywordsdirect measurement
subject keywordsexternal forces
subject keywordshardware
subject keywordshealth monitoring
subject keywordshealthcare cost reduction
subject keywordsin-body data
subject keywordsindustrial cost reduction
subject keywordsinterfaces
subject keywordsjoint torques
subject keywordsmedical robotics
subject keywordsmuscle activation
subject keywordsmuscle forces
subject keywordsmusculoskeletal data
subject keywordsmusculoskelet
identifier doi10.1109/GIIS.2014.6934279
journal titledvanced Communication Technology (ICACT), 2014 16th International Conference on
filesize3256992
citations0


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record